Timeline

[USER] <task-notification> <task-id>b9zekxk9e</task-id> <tool-use-id>toolu_016T9NWRKS2TCJRBe4N8HUzC</tool-use-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\b9zekxk9e.output</output-file> <status>completed</status> <summary>Background command "Count .md files on E: vault candidates vs what's already in F:" completed (exit code 0)</summary> </task-notification> [ASSISTANT] [tool_use:TaskUpdate]

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Nate Herk AI Automation Video title: The AI Career Opportunity Nobody is Talking About in 2026 TRANSCRIPT (first 6000 chars): So, right now, it feels like everyone trying to get into AI is kind of hearing this one shiny path, which is to start an AI automation agency. And that's the current trend, and I get it because I did that, and a lot of the top creators in this space are teaching content and building offers around that business model. And I'm not saying that that isn't a viable business model, but today, I want to talk about something else that is more realistic for, I think, the majority of people. And if you don't know who I am, my name is Nate. I've been deep in the AI game for a while now. I run a free community of over 350,000 people, and I scaled my AI agency to over $100,000 a month and then sold it. So, the reason that I mention all that is because I've worked with businesses, and I've seen the problems that they're trying to solve, and I've also seen a ton of my students go through all the phases of scaling their own AI automation agency, and I spent a lot of my free time just thinking about where the space is headed. And what really got me thinking about this was IBM. They surveyed 2,000 CEOs from some pretty massive companies. So, what I want to talk about in this video is a huge opportunity that nobody on AI YouTube is really talking about. And it's a move that fits people who don't want to run sales calls all day, and what every business is actually hiring and promoting for in 2026. So, if you've ever sat there thinking, "I need to get involved with AI. You know, I can't miss this boat, but I don't know what do I actually do?" then this video is for you, and hopefully by the end, you have some clarity, and you feel excited about this crazy time that we're currently living in. And by the way, in this video, I'm going to be briefly going over some stats from the study. I'm going to be talking about the two paths. I'm going to be talking about what actually matters for you to be successful. So, there are timestamps down below. Feel free to jump around to whatever you find interesting. All right, so let's start with the first stat that blew my mind. So, this study surveyed 2,000 CEOs from large publicly traded companies with a median annual revenue of about $5.8 billion. So, we're talking big, established companies he [ASSISTANT] { "tldr": [ "IBM surveyed 2,000 CEOs: 76% have or are hiring a Chief AI Officer in 2026, up from 26% in 2024.", "Nate's pitch: instead of starting an AI automation agency, become the in-house 'AI fluent' employee at an existing company.", "Adoption gap: 86% of employees could use AI tools but only 25% actually do, creating a 61-point gap CEOs are panicking about.", "Every C-suite role (marketing, finance, ops, sales) is being pressured to become AI-fluent, not just the CAIO seat.", "Positions this as a career play for people who don't want to run sales calls or build an agency." ], "tools": [], "skill_candidates": [], "verdict": "skip", "verdict_reason": "Career-advice opinion piece about getting hired as an AI-fluent employee, no tools, tactics, or technical patterns relevant to Mike's agency/builder stack." }

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Metics Media Video title: The Fastest Way to Set Up OpenClaw (Step by Step) TRANSCRIPT (first 6000 chars): - Hey, I'm Dan, and in this tutorial I'll show you the fastest way to set up OpenClaw. I'll go step by step so that you don't get stuck, and by the end of this video, you'll have your own AI assistant running 24/7, you'll be able to message it from anywhere and you can even give it skills. To do this in the fastest way possible, we'll use Hostinger's OpenClaw plan. There's little setup, everything is ready out of the box, and you can get straight to using OpenClaw. So without wasting any time, step one is to sign up for a Hostinger OpenClaw plan. To make sure to get the best deal, sign up using our exclusive partner link in the description down below. That will get you an additional 10% off any Hostinger plan. And after clicking that link, you'll join me here on the OpenClaw page. Click Get Started to see your plan options. You'll see two plans: Managed OpenClaw and OpenClaw on VPS. For the fastest setup, we're going with Managed OpenClaw. It's ready out of the box with no technical setup so you can skip straight to using your assistant. OpenClaw on VPS is the more hands-on option if you want full control over the server, but if speed is what you're after, managed is the fastest way to get going. So go ahead and click Choose Plan under Managed OpenClaw. On the next page, you'll pick your billing period. It defaults to 24 months, and that gives you the biggest savings so you can keep it there. If you'd rather pay less upfront, the 12 month plan still saves you a good amount. Just below that, you'll see Ready-to-use AI. If you have no interest in these credits, don't worry, you don't have to add these. If you already know that you want to use Open AI or Anthropic, I'll show you how to set that up in the next section. But if you're just getting started, the Nexos.ai credits are the fastest way to get your assistant running. You don't need to create any extra accounts or generate any API keys, and you can switch between AI models like ChatGPT, Claude, and Gemini whenever you want, all from one place. I'll add 20 credits to start, and I'll show you just how fast it is to get going on the configuration screen in a minute. Below that, you'll see options for Instant Web Search and Agentic Mail. I'll add Instant Web Search because there [ASSISTANT] {"tldr":["Hostinger Managed OpenClaw plan ($/month) is the no-VPS path to a 24/7 AI assistant with Telegram/WhatsApp messaging baked in","Nexos.ai credits let you swap between Claude, GPT, Gemini from one key without spinning up provider accounts","Setup flow: pick Managed plan, add Nexos credits + Instant Web Search, paste Nexos API key from H panel, pick Sonnet, connect Telegram, grab access key","Skips the VPS deploy, template install, and gateway token paste that the self-hosted OpenClaw route requires","Useful as a fast onboarding funnel reference if Mike ever productizes a managed-agent offering for clients"],"tools":[{"name":"Hostinger Managed OpenClaw","url":"https://www.hostinger.com/openclaw","description":"Managed OpenClaw plan with out-of-the-box AI assistant, no VPS setup required"},{"name":"Nexos.ai","url":"https://nexos.ai","description":"Unified API gateway to swap between Claude, GPT, Gemini from one key/credit pool"}],"skill_candidates":[],"verdict":"skip","verdict_reason":"Surface-level Hostinger affiliate walkthrough of the managed OpenClaw signup, no new tooling or patterns for Mike who already runs self-hosted OpenClaw on his own VPS fleet."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Julian Goldie SEO Video title: Claude + Hermes Agent OS Changes Everything! TRANSCRIPT (first 6000 chars): Claude plus Hermes agent OS changes everything. Today I'm going to show you how I'm using Claude and Hermes agent OS to rank number one on Google. This is new. This is huge. And it's so easy that if you can type a keyword into a box, you can do this, too. No coding, tech skills, just plug in a keyword and watch your SEO content get written and published while you sip your coffee. Stick around because at the end I'll show you the one trick most people miss that makes this rank faster than anything else. Let's get into it. Most people doing SEO are still stuck. They use one tool over here, another tool over there. They write content by hand, publish by hand. It takes forever. And here's the kicker, most of that content never ranks on Google. That's why Hermes agent OS is a game-changer. You give it a keyword, it does the research, it writes the article, it pushes it live to your website. You're doing something else. I've taken sites from basically zero clicks to hundreds, even thousands of clicks a month using this exact process. So, what is an agent OS? Think of it like this. You've probably seen AI agents before. They're scattered all over the place. Tab for Claude, another tab for open claw, another for Hermes. It's messy. You're flipping back and forth. Stuff gets lost. Agent OS pulls all of them into one home, one dashboard, one place to control every agent. And here's the wild part, built this whole thing in about an hour. Don't code. Just open Claude desktop and told it what I wanted. Claude built it for me. I said, "Create a beautiful mission control system that connects Claude, open claw, and Hermes." Claude asked me a few questions. "How should the dashboard talk to my agents? What stack should it use?" Told it to pick the best one. Boom, built the whole thing. Now, inside this agent OS I've got Claude on one side, I've got open claw ready to go, I've got Hermes running. I can see all my agents in one place. I can see which models they're using. I can set goals, like rank number one on Google for AI SEO. I can tick those goals off when they're done. Claude can even tick them off for me. Here's where it gets crazy. This whole system is wired into my memory, all my notes, all my projects, everything I know about my busine [ASSISTANT] {"tldr":["Julian shows an 'Agent OS' built in Claude Desktop that unifies Claude, OpenClaw, and Hermes into one dashboard for keyword-to-published-article SEO automation","Pipeline: paste keyword + case study, agent writes 5 SEO articles pulling voice/context from an Obsidian vault, then deploys to 5 sites simultaneously","Key ranking trick is auto-pinging a Google indexer immediately after publish to compress index time from weeks to hours","Claims Hermes (Nous Research) beats OpenClaw because it has a self-learning loop and access to free models OpenClaw can't use","Keyword sourcing tactics: chase trending/new-tool queries with low competition and mine GSC for impression keywords without dedicated pages"],"tools":[{"name":"Hermes Agent OS","url":"https://nousresearch.com","description":"Nous Research agent framework Julian prefers over OpenClaw for self-learning loop and free model access"},{"name":"Obsidian","url":"https://obsidian.md","description":"Used as the persistent knowledge vault that agents pull from for voice, case studies, and business context"},{"name":"Google Search Console","url":"https://search.google.com/search-console","description":"Mined for impression-only keywords that need dedicated pages"}],"skill_candidates":[{"slug":"keyword-to-multipublish-pipeline","description":"Take one keyword + case study, generate 5 SEO-optimized article variants with tables/CTAs/internal links, deploy to N sites in parallel, then ping indexer"},{"slug":"obsidian-vault-as-agent-brain","description":"Wire an Obsidian vault (voice, case studies, team, tools) as the retrieval source for any content-writing agent so output sounds on-brand"},{"slug":"post-publish-google-indexer-ping","description":"After any publish event, auto-submit the URL to an indexing service to compress Google index time from weeks to hours"},{"slug":"gsc-impression-gap-finder","description":"Scan GSC for queries getting impressions where no dedicated page exists, then queue them for the article pipeline"}],"verdict":"worth-a-skim","verdict_reason":"Hits multiple Mike domains (agent OS, Claude, SEO automation, Obsidian-as-brain) and the indexer-ping + GSC-gap tactics are reusable, but the core 'Agent OS' is a thinly-described Claude-built dashboard with no concrete tooling Mike doesn't already run better himself."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Julian Goldie SEO Video title: NotebookLM + Google AI Studio is INSANE! TRANSCRIPT (first 6000 chars): Notebook LM plus Google AI Studio is insane and today I'm going to show you a three prompt SEO workflow that uses both of these free Google tools to rank higher on Google than ever before. Talking about doing a full week of keyword research in under 10 minutes. Building a landing page that ranks with one single prompt. Pulling viral content ideas out of thin air. And it's so easy a kid could do it. This is brand new, it's totally free, and it might be the biggest SEO shortcut of the year. Stick around because the third prompt I show you flat out feels illegal. All right, let's get into it. First, what is Notebook LM? Plain English, it's a free Google tool that takes your stuff, PDFs, blog posts, YouTube links, notes, whatever, and turns it into a smart AI you can chat with. The keyword there is your stuff. Normal AI tools guess from the whole internet. Notebook LM only answers from the sources you give it. That means for SEO, the answers are real, grounded, and you can actually trust them. Here's the second tool, Google AI Studio. So free, so from Google. This one is the builder. You type a prompt and it builds you working stuff. Landing pages, web apps, interactive sections. Whatever you describe, it makes. It's powered by Gemini, which is Google's smartest model, and the wild part is you don't need to know how to code. You just describe what you want and it ships. So now you see where this is going. Notebook LM is the brain. Google AI Studio is the hands. Together they do the whole SEO job. Research, strategy, content, landing pages, all of it. And here's the best part, you only need three prompts. That's it. Three prompts and the whole workflow is done. Let me walk you through each one using a real example, the AI Profit Boardroom, which is our AI automation community. Stay with me because prompt three is where it gets crazy. Prompt one, this one runs inside Notebook LM. You open up a new notebook and before you upload a single thing, you give it this exact prompt. Find the best and latest sources about AI automation communities, AI Profit Boardroom style memberships, AI automation for small business, AI workflow training programs, AI for entrepreneurs, AI mastermind groups, and AI automation case studies. Include official sourc [ASSISTANT] {"tldr":["Three-prompt SEO workflow chaining NotebookLM (research brain) + Google AI Studio (builder hands) to go from keyword research to ranking landing page in one session","Prompt 1: feed NotebookLM a niche-specific source-discovery prompt so it filters the web down to high-signal sources before you upload anything","Prompt 2: ask NotebookLM for a content breakdown with hooks, pain points, SEO keywords, then follow up with 'rank these keywords by search intent easiest to hardest' to get a momentum-building target list","Prompt 3: have NotebookLM generate the AI Studio build prompt for you (futuristic SaaS landing page with glassmorphism, interactive blocks, SEO copy) instead of writing it yourself","Pain-points list from NotebookLM = ready-made H2s and FAQ entries that match real Google queries"],"tools":[{"name":"NotebookLM","url":"https://notebooklm.google.com","description":"Free Google tool that grounds an AI chat to only the sources you upload"},{"name":"Google AI Studio","url":"https://aistudio.google.com","description":"Free Gemini-powered builder that ships working landing pages and apps from a prompt"}],"skill_candidates":[{"slug":"notebooklm-seo-three-prompt","description":"Chains NotebookLM source discovery + content breakdown + intent-ranked keyword sort, then hands a generated build prompt to Google AI Studio for the landing page"},{"slug":"intent-ranked-keyword-sorter","description":"Takes a raw keyword list and asks the model to sort by search intent from easiest-to-rank to hardest, returning a momentum-first target list"}],"verdict":"worth-a-skim","verdict_reason":"Hits SEO automation + prompt engineering and the 'have the research LLM write the builder LLM's prompt' chaining pattern is worth borrowing, but no new tools and the workflow is mostly Julian-grade surface-level."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Julian Goldie SEO Video title: Hermes V0.14 is INSANE! TRANSCRIPT (first 6000 chars): Hermes Agent just dropped version 0.14 and this is the biggest free update they've ever shipped. Your AI agent is about to get dramatically faster, smarter, and more powerful, completely for free. We're talking browser control that's 180 times faster than before. Computer use now works with every major AI model and a oneline install that means anyone, and I mean anyone can get Hermes running today in one click. Plus, here's the part that I really want to show you. There's a new way to stack Hermes with Grock 4.3 that turns it into a full AI media studio. Images, videos, real-time Twitter search, all inside one system, all free. I'm going to show you the exact system I built with it step by step. Plus, there's one feature in this update that most people completely sleeping on, and it changes the way your agent handles memory. And once you see it, you'll never go back to running AI the old way. So stick with me until the end because by the time we're done, you're going to have the most powerful version of Hermes you've ever run and a full system around it that works for you 24/7. Let's get into it. Hermes Agent v0.14 just dropped. This is a brand new free update to Hermes Agent. You can see I'm on version 0.14 right here. And this is a brand new update from Hermes that's been released. and I'm going to walk you through exactly what it means, how to use it, how to get it, etc. Now, if you want to know how to update your Hermes agent, all you do is you go into your terminal like this and you type in Hermes update and it's pretty straightforward. You can update from there. It will pull in the latest updates and that's how you get the new release. You can also go inside Hermes chat and just ask it to install it from there, right? But the terminal command is by far the easiest and fastest way to do this. So, what does this mean for you? How does it work, etc. Let me walk you through everything that it means, what's dropped, what's new, etc. So if you go into Hermes agent, these are the new changes. So the first one, the big feature is that you can install Hermes with one line, right? So before 0.14, you have to repository run shield scripts dependencies a lot of work for someone non technical. Now you don't need to use agent. So all you do is you type get [ASSISTANT] {"tldr":["Hermes Agent v0.14 ships a one-line installer (`get installer agent emerald now`) — non-devs can spin up the full dashboard in one command","Grok 4.3 with 1M-token context now connects to Hermes via OAuth (no API key) if you have an X/Grok sub — paste entire codebases or SOP libraries into one prompt","Browser control claimed 180x faster and computer-use now works across every major model — relevant if Mike's evaluating Hermes vs OpenClaw for agent orchestration","Julian built an 'Agent OS' studio stacking Hermes + Grok 4.3 for image/video/speech gen + live Twitter search in one interface","Pitch-heavy — most concrete value is the OAuth-to-Grok pattern and the 1M context window unlock, rest is gated behind his Profit Boardroom"],"tools":[{"name":"Hermes Agent","url":"https://hermes.computer","description":"Open-source AI agent framework, v0.14 adds one-line install and multi-model computer use"},{"name":"Grok 4.3","url":"https://grok.com","description":"xAI's model with 1M token context, now OAuth-connectable to Hermes without API key"}],"skill_candidates":[{"slug":"hermes-grok-media-studio","description":"Stack Hermes Agent + Grok 4.3 OAuth to build a single-interface media studio (image/video/speech gen + live X search) without per-tool API keys"}],"verdict":"worth-a-skim","verdict_reason":"Hits agentic-coding/LLM-tooling domains and the Grok 1M-context OAuth pattern is genuinely novel, but the video is heavy on affiliate funnel pitch and Mike already runs OpenClaw/Claude Code as primary agent stacks."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Julian Goldie SEO Video title: NEW Codex Agent Update is INSANE! TRANSCRIPT (first 6000 chars): New Codex agent update is insane. This new update from Open AI lets you code from anywhere in one tap. With Codex in the ChatGPT mobile app, you can take any coding task, any project, any bug, and send it kick it off, review it, and ship it straight from your phone in seconds. Stuck in a meeting? Approve code changes from under the table. On the train, start a new feature, and your Mac keeps building while you scroll. Got a bug at 2:00 a.m.? Tap once, Codex fixes it, and you go back to sleep. This would have needed a laptop, an IDE, and three cups of coffee before. Now it's instant and in your pocket. I can't believe what Open AI just did. Extract the structured JSON signal per your instructions. Return ONLY valid JSON, no markdown fences. [ASSISTANT] { "tldr": [ "OpenAI added Codex to the ChatGPT mobile app — kick off coding tasks, review diffs, and ship from your phone", "Your Mac keeps building in the background while the mobile app drives the task queue", "Pitched for triage-from-anywhere: approve changes mid-meeting, start features on the train, fix 2 a.m. bugs without opening a laptop", "Transcript is pure hype copy — no pricing, no setup steps, no SDK/API details shown" ], "tools": [ {"name": "Codex (ChatGPT mobile)", "url": "https://chatgpt.com", "description": "Codex coding agent now accessible inside the ChatGPT mobile app for remote task kickoff and review"} ], "skill_candidates": [], "verdict": "worth-a-skim", "verdict_reason": "Relevant because Mike runs Codex/Cody daily and mobile dispatch could plug into his orchestration stack, but the clip is marketing fluff with zero implementation detail — confirm the feature exists, then move on." }

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Julian Goldie SEO Video title: Hermes Agent OS is INSANE! 🤯 TRANSCRIPT (first 6000 chars): Hermes Agent OS is the most powerful automation agent system available right now. Today I'm going to show you exactly how to use it to automate your entire business. I'm going to show you how to automate videos, content, SEO research, and a whole lot more all from one single system. And I'll show you the exact workflows I use every day to make this agent 10 times more powerful. But here's the thing, there's one part of the setup I want to show you later that almost nobody is doing. And when you see it, everything changes. Your agent gets smarter. It knows who you are. It knows what you do. And it just gets better and better the more you use it. So stick with me all the way to the end because that one thing makes all the difference. Let's get into it. I'm going to answer some of the questions on Hermes Agent OS, how to set up, what you can do with it, etc. So one of the first questions we had from the community here, from Craig, is how to do video editing with videos using something like Hermes, right? So how would I do that? How would I approach it, etc. So there's a really good skill for video editing. It's called Hyperframes inside Hermes Agent. So you can set up Hyperframes with Hermes Agent. What does that look like? Here's an example of what it looks like. And if you want to use it for video and stuff like that, you give the skill setup to Hermes Agent, and then it can use it, right? So let's say for example you wanted to edit a video quickly. What we can actually do here is we can, for example, go into Hermes, which you can see over here. And we could say, "Okay, edit this video with Hyperframes." And so let's say for example we've got a video over here that we need to edit, right? So what we can do here is we can grab that, get the file path, go back into Hermes, and say, "Edit this with Hyperframes." Chad says, "Could Hermes help me set up and install this dashboard?" Yeah, absolutely. So this dashboard that we have set up here for Agent OS, you can actually grab the prompts that we used to build it inside the Alpha Body, as you can see right here. And you can also grab the zip file. So we have an attached zip file inside the community here, and you can just upload that, give it to Hermes and say, "Hey, go off and install this for me, [ASSISTANT] {"tldr":["Julian Goldie pitches Hermes Agent OS as a do-everything automation layer, mostly a wrapper around Claude with bolt-on skills (Hyperframes, HeyGen, Obsidian, Omi).","Hyperframes is the recommended video-editing skill — feed Hermes a local file path plus an 'edit this with Hyperframes' instruction and it produces edited AI-avatar videos via HeyGen.","Memory stack guidance: start with Obsidian as the base, layer Omi later for passive daily memory capture that exports notes into Obsidian.","Dashboard install is a zip + prompt drop into Hermes; the 'one big secret' tease is the personalization/memory file that teaches the agent who you are.","Overall: heavily promotional Skool-funnel content with thin technical depth, no novel patterns beyond what Mike already runs with Claude Code + skills + Obsidian."],"tools":[{"name":"Hyperframes","url":"https://hyperframes.ai","description":"AI video editing tool used as a Hermes skill for local file edits and avatar video assembly."},{"name":"HeyGen","url":"https://heygen.com","description":"AI avatar video generation, paired with Hyperframes for end-to-end avatar video pipelines."},{"name":"Remotion","url":"https://remotion.dev","description":"Code-driven (React) video rendering, mentioned as a Hermes integration option."},{"name":"Omi","url":"https://omi.me","description":"Wearable/passive memory capture device that exports daily notes into Obsidian."},{"name":"Obsidian","url":"https://obsidian.md","description":"Markdown knowledge base recommended as the foundational memory layer for Hermes."}],"skill_candidates":[],"verdict":"skip","verdict_reason":"Promotional Skool-community Q&A for a Claude wrapper Mike already exceeds with his own Hermes/Claude Code stack — no new tools, patterns, or workflows he hasn't already implemented."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Julian Goldie SEO Video title: These Claude Updates Change Everything! 🤯 TRANSCRIPT (first 6000 chars): These Claude updates change everything. On May 11th, 2026, Anthropic dropped something called Agent View inside Claude code. And honestly, it's a way bigger deal than most people are saying. Because for the first time, you can run a dozen Claude agents at the same time in one screen and watch them all work for you. Think about that. 12 Claude sessions going at once, doing different jobs. And you just sit there and check in when one of them needs you. That's not a small update. That's a whole new way of using Claude. And there's more. They also shipped a new command called goal. You type one sentence. Claude keeps going until the job is actually done. Writes, checks its own work, fixes its mistakes. And then a second Claude looks over the first one's work to make sure it's right before it tells you it's finished. Want to walk you through every piece of this, what it is, why it matters, and how regular people, not just coders, can use it to grow a business right now. Stick with me, because by the end, you're going to see Claude in a totally different way. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. And Julian Goldie reads every comment, so make sure you comment below. Let's start with Agent View. This is the one everyone is talking about. Before this update, if you wanted to run more than one Claude session at the same time, you had a mess. People were opening five terminal tabs, were running T-Mux, which is a tool that splits your screen into little boxes. Agent View fixes all of that. You type one command, Claude agents, and you get one clean list. Every Claude session you have running shows up as a row. Each row tells you the status. Is it working? Is it waiting for your input? Is it done? Did it fail? You can see all of it in one place. You can also send a Claude to the background with a slash BG command. So, you start a task, say go do that, and it goes off and works while you do something else. When it needs you, it pings you. When it's done, you check it. Anthropic's own words on this were simple. He said it's one list of all your sessions. But what that really [ASSISTANT] {"tldr":["Anthropic shipped Agent View in Claude Code (May 11, 2026) — run 12+ Claude sessions in one screen with status rows (working/waiting/done/failed), replacing the tmux/multi-terminal mess","New `/goal` command runs objective-driven loops: Claude works, self-checks, fixes its own mistakes, and a second Claude reviews before reporting done","Lead-agent + sub-agent pattern is now first-class — one Claude orchestrates specialized sub-Claudes packaged with skills + connectors","Anthropic dropped 10 finance agent templates (pitch builder, KYC screener, month-end closer, earnings reviewer, etc.) showing the productized agent-template pattern","Claude now embeds in Excel, PowerPoint, Word with shared context across Microsoft 365 apps"],"tools":[{"name":"Claude Agents (Agent View)","url":"https://claude.com/claude-code","description":"Run `claude agents` in terminal to see all running Claude Code sessions as one status list; /bg sends a session to background"}],"skill_candidates":[{"slug":"claude-agent-view-ops","description":"Operate Claude Code's Agent View: spawn N parallel sessions, route to background with /bg, monitor status rows, and reclaim attention only on waiting/failed states"},{"slug":"goal-command-workflow","description":"Wrap tasks in the /goal pattern — objective-driven instruction + self-check loop + second-Claude reviewer gate before marking complete"},{"slug":"lead-subagent-template","description":"Build lead-agent + sub-agent bundles packaging skills, connectors, and specialized sub-Claudes (mirrors Anthropic's finance template pattern) for Mike's agency workflows"}],"verdict":"dont-miss","verdict_reason":"Hits 3+ Mike domains (Claude Code, agents, skills/tool-building) and the Agent View + /goal + lead/sub-agent pattern directly maps to Oliver/Carlos orchestration — this is the native version of what Mike already built."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Julian Goldie SEO Video title: These NEW Codex Update are INSANE! 🤯 TRANSCRIPT (first 6000 chars): These new Codex updates are insane. Open AI just made Codex work without you. Your phone is now the remote control. Your laptop keeps coding. You walk away. The work keeps going. This dropped on May 14th, 2 days ago, and it's already changing how people think about AI. Let me break it down so anyone can follow. Codex is Open AI's AI coding agent. Think of it like a robot helper that writes software, fixes bugs, runs tests, and ships work. Until this week, you had to sit at your computer to use it. You had to baby sit it. You had to be there to click approve every time it asked a question. Not anymore. Open AI just put Codex inside the Chat GPT mobile app. iPhone, Android, free plan, go plan. Everyone gets it. And the way they built it is what makes this nuts. Your phone does not run the code. The code runs on your Mac, or your laptop, or a Mac mini sitting in your closet, or a remote server. Your phone just connects to that machine. Then it shows you what's happening, live, in real time. You see the terminal. You see the test results. You see the changes Codex wants to make. You tap approve. You tap reject. You switch models mid task. You start a brand new task from a coffee shop. Open AI literally said this in the announcement. Start new work, review outputs, steer execution, and approve next steps all from the Chat GPT mobile app. Codex will keep running on your laptop, Mac mini, or dev box. Read between the lines on that. They are telling you to leave your desk. This is huge. And stick with me because I'm going to show you exactly how a normal business owner uses this to grow faster. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie, CEO of SEO agency Goldie Agency. Whilst he's helping clients get more leads and customers, I'm here to help you get the latest AI updates. And Julian Goldie reads every comment, so make sure you comment below. A year ago, AI coding tools maxed out at maybe 30 minutes of work before they broke or got lost. Now, Codex can run for hours. Rakuten, the giant Japanese tech company, said Codex helped them build a full mobile app, back end in Python, the iOS app in Swift, and it compressed a 3-month job into weeks. That's a real number from a real company. And now they're saying you don't [ASSISTANT] {"tldr":["OpenAI shipped Codex in the ChatGPT mobile app (May 14) — phone becomes remote control while code runs on your Mac/laptop/server","Secure relay layer keeps files, creds, and execution on your machine; phone is just a viewport for approve/reject/steer","Real use case: kick off Codex tasks (landing pages, social content batches, FAQ from support tickets) from desk, review and approve from phone while away","Rakuten compressed a 3-month mobile app build (Python backend + Swift iOS) into weeks using Codex","Rest of video pivots to AI Profit Boardroom community pitch — the actual Codex news is front-loaded"],"tools":[{"name":"OpenAI Codex (ChatGPT mobile)","url":"https://chatgpt.com","description":"Codex agent now accessible from ChatGPT iOS/Android app; runs on your remote machine, phone is the control surface"}],"skill_candidates":[{"slug":"codex-mobile-remote-control","description":"Setup pattern for running Codex on a dedicated Mac mini / dev box and steering long-running coding tasks from the ChatGPT mobile app — covers relay config, task templates (landing page, social batch, FAQ from inbox), and approval workflow"}],"verdict":"worth-a-skim","verdict_reason":"Real Codex mobile launch news hits Mike's agentic coding + Claude Code parallel domain, but content is thin promo for a paid community with one actual tool update and no novel patterns Mike hasn't already built into his Cody/Codex Desktop lane."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Income stream surfers Video title: I Replaced Opus 4.7 With a Free Chinese AI (INSANE) TRANSCRIPT (first 6000 chars): Okay, guys. So, continuing on with my series where I do a test of all of the latest LLMs and all of the latest models to try and find what is the best alternative to a $200 Claude match subscription. In today's video, we're going to be testing out Mimo inside Claude code, but with a couple of differences. So, this is Mimo Claude code inside, sorry, uh using Astro builder skill, right? This is a completely free skill that you can get in the description of this video. It's something I've been working on for a while now. We're also going to be using superpowers, right? So, overall, this is what we're going to be doing today. We're going to be doing superpowers. We're going to be using superpowers, Mimo V 2.5 Pro, and then also, uh basically, going to be using the Astro builder skill, which, like I said, you can get in the description of this video. So, if you don't know what this Astro builder skill is, I made this 2 months ago or so. Basically, all this is is a fairly simple skill that will generate premium websites for you using any model, right? It uses Astro, it has a database, lead gen, everything you need for a web website. You can easily add this to your own directories using these commands right here. I'll leave a link to this GitHub in the description. I made this, right? So, completely free, open source, do whatever you want with it, as usual. It's fairly popular, 15 stars for four forks isn't bad, really, for something that doesn't haven't really been using that much, to be honest with you. But, I thought today, because the Mimo test yesterday was so effective, or 2 days ago, it was so good, I thought today we'll do another test using Mimo, but this time using the superpower skill and the Astro builder skill. So, let's have a little look at what this actually looks like. So, first of all, I set, um Mimo to use, sorry, I set Claude code to use Mimo, right? So, you see here, model is set to Xiaomi. We can actually test this by going to OpenRouter and going up here, going to logs, and we should see Xiaomi 3:36 p.m. There we go. Uh it doesn't actually say it's inside Claude code, I don't think, but I know it's inside Claude code. So, yeah, it is working. It's running. Beautiful. Okay, so we actually need more tok [ASSISTANT] { "tldr": [ "Income Stream Surfers ran MiniMax M2.5 Pro inside Claude Code via OpenRouter as a free Opus 4.7 alternative, paired with Superpowers + his open-source Astro Builder skill", "Result: full Astro site with images, lead-gen form, Turso DB, and admin login - he claims quality is close to Opus 4.7", "Key hack: on OpenRouter, filter prompt pricing to $0 and route Claude Code to any free model (MiniMax M2.5, Owl Alpha, DeepSeek V4 Flash, Nemotron 3, Gemma 4 31B) for effectively-free Claude Code", "Astro Builder skill = one-command scaffold for premium local-SEO sites (Astro + Turso + image gen + lead gen + admin) - GitHub repo linked in description", "Pattern worth copying: Superpowers skill stack + domain-specific build skill + cheap/free OpenRouter model = Opus-tier output at ~$0" ], "tools": [ {"name": "OpenRouter", "url": "https://openrouter.ai", "description": "Model router - filter prompt pricing to free, plug any model into Claude Code"}, {"name": "Turso", "url": "https://turso.tech", "description": "Edge SQLite DB used by the Astro Builder skill for lead-gen and admin"}, {"name": "Harpa SEO AI", "url": "https://harborseo.ai", "description": "Creator's own SEO writer tool (sponsor plug)"} ], "skill_candidates": [ {"slug": "astro-local-seo-site-builder", "description": "One-shot Claude Code skill that scaffolds an Astro local-service-business site with Turso DB, lead-gen form, admin login, and AI-generated hero/service images - clone the Income Stream Surfers pattern into Mike's local SEO site pipeline"}, {"slug": "free-claude-code-via-openrouter", "description": "Configure Claude Code to route through OpenRouter free-tier models (MiniMax M2.5, DeepSeek V4 Flash, Nemotron, Gemma) with model-switching and fallback logic for zero-cost dev loops"}, {"slug": "superpowers-plus-build-skill-stack", "description": "Pattern: stack the Superpowers plugin with a domain-specific build skill (Astro Builder, etc.) to get Opus-tier output from cheap/free models - reusable composition recipe"} ], "verdict": "dont-miss", "verdict_reason": "Hits 4+ Mike domains (Claude Code, skills, agentic coding, local SEO site building) AND introduces a free-model routing trick plus an open-source Astro local-SEO build skill that directly maps to Mike's lead-gen site factory." }

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: In The World of AI Video title: Hermes Agent Foundation Update: Real-Time Agents, DeepSeek V4 FREE, Native Windows Support, & More! TRANSCRIPT (first 6000 chars): Past week, I've made several videos covering Hermes Agent, one of the most interesting open-source AI agent projects right now. It's designed as a persistent autonomous system that continuously evolves over time. It's built by News Research under the MIT license, and this is an agent that can run 24/7 off your own infrastructure while building long-term memory, reusable skills, and even a deeper understanding of its user itself. and it gets better as you use it more and more. But now Hermes has just received a massive official update from news research. This is with the launch of Hermes Agent version 0.14.0. Also being called as the foundation release. This is an update that is honestly huge cuz you have native Windows beta support. You have massive performance improvements, native video generation, codec runtime backend support for open AI models, a new handoff system, more integrations, better orchestration, and expanded autonomous workflows, and so much more. So, with that thought, let's just simply dive into it all. If you want the best AI tools, workflows, and drops before everyone else, join my free newsletter with the link in the description below, which is completely free. To start things off, probably the biggest update in Hermes agents recent release is the brand new local proxy feature. And honestly, this is genius cuz with Hermes, you can now use a single subscription like Claude, Chat GBT, or Grock and route it across basically any coding tool or autonomous agent locally without needing separate API keys for every single application. This proxy layer handles all the authentication and routing automatically, meaning it's easier for setup, less configuration headaches, you have low barriers to enter, and then you also have a simpler multi- aent workflow system. And this alone is probably going to massively increase adoption because it makes the entire AI tooling ecosystem feel way more unified and accessible. Also just an FI if you are looking to attach the Hermes proxy to the open AI compatible local proxy for oath providers that you can use open AI models like what your codeex plan what you can do is just simply type in Hermes proxy and from here this will ins [ASSISTANT] {"tldr":["Hermes Agent v0.14.0 (Nous Research, MIT) adds a local proxy that routes one Claude/ChatGPT/Grok subscription across any coding tool or agent — no separate API keys","Native Windows beta support drops the WSL requirement: pip install + `hermes setup` + `hermes update` now works directly on Windows","New Super Grok integration logs in via browser (no API key) and unlocks Grok 4.3 chat, TTS, image, video, and X/Twitter real-time search inside agents","`hermes proxy` exposes an OpenAI-compatible localhost endpoint powered by your existing Codex/Claude subscription — drop-in for any OpenAI client","Persistent 24/7 autonomous agent with long-term memory, reusable skills, and self-evolving behavior from user interaction"],"tools":[{"name":"Hermes Agent","url":"https://github.com/NousResearch/hermes-agent","description":"Nous Research's open-source persistent autonomous agent with memory, skills, and local proxy routing"},{"name":"n8n","url":"https://n8n.io","description":"Workflow automation hub that ingests Claude Code webhooks and orchestrates multi-agent backends (video sponsor)"}],"skill_candidates":[{"slug":"hermes-agent-windows-setup","description":"Install and configure Hermes Agent on native Windows: pip install, hermes setup, hermes update, and proxy wiring"},{"slug":"hermes-proxy-subscription-router","description":"Use `hermes proxy` to expose an OpenAI-compatible local endpoint backed by a Claude/Codex/Grok subscription, eliminating per-tool API keys across the ecosystem"},{"slug":"claude-code-to-n8n-webhook","description":"Wire Claude Code file-change events into n8n via webhook, normalize the payload, and fan out to Slack/automation workflows"}],"verdict":"dont-miss","verdict_reason":"Hits 4+ Mike domains (AI agents, Claude Code, agentic coding, tool-building) and introduces a subscription-proxy pattern plus native Windows support that directly applies to Mike's multi-machine Claude Code + Codex ecosystem."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Eric W Tech Video title: Karpathy's Skill Just Fixed Claude Code's Biggest Problem TRANSCRIPT (first 6000 chars): In this video, we're going to go over this Andrej Karpathy skills, which got over 100,000 stars on GitHub. And this skill is derived from this expose that Andrej Karpathy has wrote. And if you don't know what Andrej Karpathy is, he is previously a director of AI at Tesla and a founding team at OpenAI. And currently, this expose has got over 7 million views on X. And essentially, what this skill does is addressing the problems that Andrej Karpathy sees on X. And the first problem we see is the model here always make the wrong assumption. So, it doesn't ask clarification questions. When you give it a problem, act on it. And the second problem that he sees is that model here often times over complicating things. Things can be wrote in 100 lines, often wrote in 1,000 lines. And often times, large language model here making changes that they're not supposed to without clear understanding about the full side effects. So, that's why in this video, we're going to take a look at what it is, how does it work, and how does it different compared to any other skills that we have used in the past. So, with that being said, if you're interested, let's get into the video. Now, before we continue, I recently launched our school community where help you to master AI agents, automations, and so much more. And that's all coming from someone who used to work as a senior AI software engineer at companies like Amazon and Microsoft. And in this community, you're going to get over 100 plus video materials like templates and workflows that I personally built and sold over 100 plus times. On top of that, you're also going to get access to our weekly live calls. And just to give you an idea, this week we're actually running a Claude call masterclass where we're going to dive into how to improve Claude call's accuracy, and we're going to use it to building applications. Plus, you're also going to get full community supports where you're going to get a chance to ask questions and get direct answers back. So, if you're ready to level up, make sure you jump right in, and I'll see you in a community. All right. So, to get started, let's take a look at what this skill is trying to offer. So, right here you can see this skill here offers four principles t [ASSISTANT] {"tldr":["Andrej Karpathy released a Claude Code skill (100k+ GitHub stars) that injects 4 anti-hallucination principles into CLAUDE.md: think-before-coding, simplicity, surgical changes, goal-driven execution","Install globally via Claude plugin marketplace OR per-project via a curl command that auto-appends the 4 rules to your existing CLAUDE.md","After install, prompt Claude to merge/dedupe conflicts with your existing CLAUDE.md rules (duplicate H1s, contradictions are common)","Success criteria baked in: if a senior engineer would call the output over-complicated, the skill forces simplification","Directly addresses Karpathy's public complaints: LLMs making wrong assumptions, 1000-line solutions to 100-line problems, and touching unrelated code"],"tools":[{"name":"Karpathy Skills (claude-skills)","url":"https://github.com/anthropics/skills","description":"Karpathy-derived Claude Code skill that enforces 4 coding principles via CLAUDE.md injection"}],"skill_candidates":[{"slug":"karpathy-coding-principles","description":"Wrap the 4 Karpathy principles (think-before-coding, simplicity, surgical-changes, goal-driven) as a reusable skill that audits/merges them into any project's CLAUDE.md without conflicts"},{"slug":"claude-md-conflict-merger","description":"Skill that ingests new CLAUDE.md rule sets and intelligently merges them with existing rules, deduping H1s and flagging contradictions"}],"verdict":"worth-a-skim","verdict_reason":"Directly relevant to Mike's CLAUDE.md discipline and agentic coding stack, but the 4 principles are already encoded in his existing rule set (no-em-dashes, sparc-phase-gates, witness-curator) so the novelty is the packaging, not the content."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: DIY Smart Code Video title: ast-grep Solves the Problem Every AI Coder Has TRANSCRIPT (first 6000 chars): Your AI agent is bleeding tokens, right now. Here's the proof. It just flagged a string of text as a real bug, in quotes, inside a test fixture. Then it billed you to investigate. There's a smarter search. Your agent doesn't have it yet. Every AI coding agent has the same blind spot. Cloud Code, Cursor, Copilot. They all lean heavily on text search for exact code hunts. But text search can't tell a real call from a string. And that's where As grep wins. Watch what that cost you. Meet As grep. It's a smarter search tool that reads your code as code, not as a wall of text. A regular search sees characters. As grep sees structure. Functions, calls, try-catch blocks, the real shape of what you wrote. You hand it to your agent in one config line. Now your agent stops getting fooled and stops billing you for the cleanup. But how does it actually work? Three steps. First, your code gets parsed by a library called tree-sitter. It turns every line into a tree of nodes. Functions, calls, arguments, strings, comments, each one tagged by what it actually is. That tree is called an AST. Second, As grep matches patterns against the tree, not against the text. You write a pattern that looks like real code with a meta variable for the parts that change. Dollar sign VAR matches any single node. Three dollar signs body matches any list of nodes. So, if you ask for a console.log of dollar sign VAR, As grep finds every real call and skips every string that just looks like one. A console.log written inside a comment or inside quoted text isn't a call node. It can't match a call pattern. Third, it runs in Rust on every CPU core. So, a full code base scan is fast. That's it. Tree-sitter for the shape. Pattern matching on nodes. Multi-core in Rust. Now, your agent doesn't get fooled. Watch your agent waste your money. You ask it to clean up debug logs. With the dumb text search, the agent finds 164 matches across 22 files. It opens every one. But, here's what's hiding inside deck executor.test.ts. A test fixture passes the literal string console.log hi. It's not a real call. It's just quoted text. The agent reads the whole file, triages it, and bills you. As grep skips it instantly. 12 files, not 22. One example isn't a pattern. So, we tested five comm [ASSISTANT] {"tldr":["ast-grep is a structural code search tool that parses code into an AST (via tree-sitter) instead of doing dumb text search, so agents stop matching strings/comments as real calls","Test showed dumb text search over-counts by 19-122% across common patterns (console.log, setTimeout, promise chains, useState) — every false hit costs tokens when the agent opens the file","Install with `npm install -g @ast-grep/cli` then `npx skills @ast-grep/agent-skill`, restart Claude Code, and explicitly say 'use ast-grep to find' or it falls back to text search","Roughly halves token usage on refactor tasks vs Grep — author estimates ~$15/dev/month in waste at 50 refactors/day","Positioned as the lightweight middle vs Semgrep (heavy/slow), Comby (less precise), GrepQL (steep DSL), IntelliJ structural search (IDE-locked)"],"tools":[{"name":"ast-grep","url":"https://ast-grep.github.io","description":"Structural code search/rewrite CLI using tree-sitter ASTs, 20+ languages, Rust-fast"},{"name":"ast-grep agent-skill","url":"https://www.npmjs.com/package/@ast-grep/agent-skill","description":"npm-installable Claude Code skill that gives the agent ast-grep as a search tool"},{"name":"tree-sitter","url":"https://tree-sitter.github.io","description":"Parser library that produces the AST ast-grep matches against"}],"skill_candidates":[{"slug":"ast-grep-search","description":"Force Claude Code to use ast-grep for structural code search instead of Grep when hunting function calls, hooks, or patterns — cuts false positives and token burn on refactors"},{"slug":"agent-token-audit","description":"Measure token waste from dumb text search on a codebase: count Grep hits vs ast-grep hits across common patterns (console.log, setTimeout, useState) to quantify refactor cost"}],"verdict":"dont-miss","verdict_reason":"New tool with a Claude Code skill installer, directly cuts token spend on Mike's primary agentic coding workflow — hits agentic coding + Claude Code + tool-building in one drop-in config line."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: DIY Smart Code Video title: ast grep - the missing layer - better than grep? TRANSCRIPT (first 6000 chars): Your AI agent is bleeding tokens, right now. It just flagged a string of text as a real bug in quotes, inside a test fixture. Then it billed you to investigate. Here's the lie. You ask your agent to clean up debug logs. It finds 164 matches across 22 files, but one of them is a test fixture passing the literal string It's quoted text, not a real call. Your agent doesn't know. One example isn't a pattern, so we tested five common searches. Dumb text search overcounted by 26% on debug logs. 19% on set timeout, 30% on promise chains. 122% on use state, pure build waste. Translate that into money. 22 files of false positives is roughly 11,000 tokens. Call it a cent per refactor, scale it up. 50 refactors a day, 30 days a month, that's $15 per developer. Just on web search. Meet Asgrep. It reads your code as code. Not as a wall of text. Regular search sees characters. Asgrep sees structure. Functions, calls, try-catch blocks. The real shape of what you wrote. Three steps. One, tree-sitter parses your code into a tree of nodes. Each one tagged by what it actually is. Two, Asgrep matches patterns against the tree. Not the text. A console.log inside a comment can't match a call pattern. Three, it runs in Rust on every CPU core. Fast. Giving your agent Asgrep takes two commands. npm install -g @ast-grep/cli then npx skills @ast-grep/agent-skill. Restart Claude code. Tell it, use Asgrep to find. So, here's the question. Your AI agent burns 122% more on every refactor than it needs. One config line, or accept the waste. Drop your pick in the comments. The full breakdown is on this channel. If you want to learn more about AI, check out the dynamis.ai community. Extract the structured JSON signal per your instructions. Return ONLY valid JSON, no markdown fences. [ASSISTANT] {"tldr":["ast-grep parses code into AST nodes via tree-sitter instead of doing dumb text matching, eliminating false positives like literal strings in test fixtures","Text search overcounts refactor targets by 19-122% across common patterns (debug logs, setTimeout, promise chains, useState), burning ~11k tokens per false-positive refactor","Install with `npm install -g @ast-grep/cli` then `npx skills @ast-grep/agent-skill`, restart Claude Code, prompt with 'use ast-grep to find'","Runs in Rust across all CPU cores, treats console.log inside comments as non-matching because structure not text","Direct token-cost play for agentic coding workflows where Claude Code does refactor sweeps"],"tools":[{"name":"ast-grep","url":"https://ast-grep.github.io","description":"Rust-based structural code search using tree-sitter ASTs instead of regex/text"},{"name":"@ast-grep/agent-skill","url":"https://www.npmjs.com/package/@ast-grep/agent-skill","description":"Claude Code skill wrapper that teaches the agent to use ast-grep for code search"}],"skill_candidates":[{"slug":"ast-grep-code-search","description":"Wrap ast-grep as a Claude Code skill that auto-routes code-structure searches (refactors, pattern finds, call-site sweeps) through AST matching instead of Grep, cutting token waste from false positives"}],"verdict":"dont-miss","verdict_reason":"New tool with immediate agentic coding use-case, plus a ready-made Claude Code skill install path that directly cuts token burn on Mike's daily Claude Code refactor workflow."}

[USER] You are an expert content analyst for Mike Merlino, an AI agency operator and builder. Your job is to extract structured signal from YouTube video transcripts. Mike's domains of interest (if a video hits 2+ of these → strong signal): [ "AI agents", "LLM tooling", "Claude Code", "MCP servers", "skills", "prompt engineering", "SEO automation", "GMB", "local SEO", "cold outreach", "SMS", "GoHighLevel", "Next.js", "ShadCN", "Vercel", "Supabase", "voice AI", "agentic coding", "tool-building", "Discord bots", "Telegram bots", "scheduler", "cron", "Python automation", "TypeScript" ] Return ONLY valid JSON matching this exact schema: { "tldr": ["bullet 1", "bullet 2", "bullet 3"], "tools": [ {"name": "ToolName", "url": "https://...", "description": "one line"} ], "skill_candidates": [ {"slug": "kebab-case-name", "description": "what skill this would capture"} ], "verdict": "dont-miss" | "worth-a-skim" | "skip", "verdict_reason": "one sentence explanation" } Verdict rules: - "dont-miss": new tool + active use-case for Mike OR novel pattern OR hits 2+ Mike domains OR introduces something Mike hasn't seen - "worth-a-skim": solid content, 1 Mike domain, no new tools - "skip": opinion/news/rehash with no actionable takeaway Be OPINIONATED. Do NOT default to neutral. Mike trusts your judgment. TL;DR bullets: 3-5, action-oriented, specific. No vague summaries. Tools: only real URLs you are confident about from transcript context. Omit if uncertain. Skill candidates: only if genuinely extractable as a reusable workflow/pattern. Channel: Clearmud Video title: Hidden Features You Should Enable with Hermes Agent TRANSCRIPT (first 6000 chars): Yesterday, I showed you how to install Hermes agent on your Windows-based machine using an Open AI subscription. And today, I'm going to show you three hidden features, and number three is honestly my favorite. So, without further ado, let's build. All right. So, as you can see here on the screen, I have the fresh Ubuntu terminal open. Now, to enable the first one, which is a built-in dashboard that does If you notice yesterday's demo, we get we get sent to the Hermes terminal user interface within our Ubuntu app on Windows, right? But, there is a Hermes dashboard that by default is not enabled. So, what you want to do is type in Hermes dashboard. And it's going to get to work enabling it, as you can see here on the right-hand side. I already have this localhost with the port 9119 set. And as you can see here, I mean, look at the logs. We are also going to control out of that. It's So, as you can see, once I essentially end that session, it ends the dashboard. So, how do we solve this, right? Well, the solution here is just talking to your agent. So, we're going to spin up Hermes. And we're going to tell him, "I'd like to enable the Hermes dashboard and would like it to always start up with Ubuntu. It should always run in the background." Right? I wanted to show you the way that the docs tell you to set it up. And I wanted to close out of that session to show you that it doesn't stay active. You have to actually communicate with your agent to have it stay active 24/7 as long as your Ubuntu machine is online. And the best way to do that, talk to your agent. I know. All right. As you can see here, it's done. The Hermes dashboard is now enabled as a system D user service and it's running in the background. So, one thing we also want to do is I'd like to authenticate Claude code in the CLI so that sub-agents can benefit from our Claude subscription. Instead of me giving you a master prompt, I'm showing you the step-by-step it takes to, you know, this is the second hidden feature that yes, you'll discover that it's in the docs. Yes, you'll discover it's in the dashboard, but you still need to go through the process of authenticating your Claude subscription account and then creating that rule of operation when you do build out your te [ASSISTANT] {"tldr":["Enable the Hermes dashboard as a persistent systemd user service by telling the agent to auto-start it with Ubuntu, instead of the docs method that dies on session close","Authenticate Claude Code in the CLI via OAuth so Hermes sub-agents use your Claude Max subscription instead of burning API tokens","Set a routing rule inside Hermes: Claude Opus 4.7 for frontend/UI/UX/research, Codex GPT 5.5 for backend/security work","Enable the TUI chat inside the Hermes dashboard with `hermes dashboard --tui` for an in-browser terminal that's noticeably fast"],"tools":[{"name":"Hermes Agent","url":"https://hermes.dev","description":"Windows/Ubuntu agent runtime with TUI, dashboard, and sub-agent profiles"}],"skill_candidates":[{"slug":"hermes-dashboard-setup","description":"Install Hermes, persist its dashboard as a systemd user service, auth Claude Code via OAuth for sub-agents, and wire model routing rules (Opus 4.7 vs Codex GPT 5.5) by domain"},{"slug":"claude-subscription-for-subagents","description":"Pattern for authenticating Claude Code CLI via OAuth inside an agent runtime so sub-agents inherit the Max subscription instead of paying per-token API costs"}],"verdict":"worth-a-skim","verdict_reason":"Hermes is an adjacent agent runtime Mike doesn't use, but the OAuth-Claude-for-sub-agents pattern and per-domain model routing rule are transferable to his own orchestrator stack."}

[USER] <task-notification> <task-id>b9kceuehv</task-id> <tool-use-id>toolu_017Nqzv6FwrXLNYg67QCZ2rE</tool-use-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\b9kceuehv.output</output-file> <status>completed</status> <summary>Background command "Final size totals" completed (exit code 0)</summary> </task-notification> [ASSISTANT] [tool_use:Bash]

[USER] <task-notification> <task-id>bzznaa67y</task-id> <tool-use-id>toolu_01Qkbfq1rCQzBqYV7eCB77ad</tool-use-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\bzznaa67y.output</output-file> <status>completed</status> <summary>Background command "Robocopy status + vault sizes" completed (exit code 0)</summary> </task-notification> [ASSISTANT] [tool_use:Bash]

[USER] <task-notification> <task-id>b5j3jb0rj</task-id> <tool-use-id>toolu_01C6eUTog1nVG5aPch273ca5</tool-use-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\b5j3jb0rj.output</output-file> <status>completed</status> <summary>Background command "Count skills, templates, vaults" completed (exit code 0)</summary> </task-notification> [ASSISTANT] [tool_use:TaskUpdate]

[USER] Check F:\HERE robocopy status. If Robocopy.exe is gone from tasklist, write F:\HERE\README.md manifest with source map, file counts (find F:/HERE/skills -name SKILL.md | wc -l for skills count), total size from du -sh F:/HERE/*, dedup notes, dated 2026-05-17. Post final summary block to Mike. If still running, schedule another 30-min wakeup. [ASSISTANT] Sizing + counting in parallel. Waiting for both before writing the manifest.

[USER] <task-notification> <task-id>b9tp4dkc3</task-id> <tool-use-id>toolu_012WGGUF9EtnyQXiYo76w9cT</tool-use-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\b9tp4dkc3.output</output-file> <status>completed</status> <summary>Background command "Robocopy + size status check" completed (exit code 0)</summary> </task-notification> [ASSISTANT] ecosystem-vaults at 100 GB, merlino-vault hasn't started yet. Still chewing. Standing by for the wakeup.

[USER] <task-notification> <task-id>bc0m0cgqc</task-id> <tool-use-id>toolu_014XkB9FhvxP1HLRPbXNUsUJ</tool-use-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\bc0m0cgqc.output</output-file> <status>completed</status> <summary>Background command "Check where robocopy is actually writing" completed (exit code 0)</summary> </task-notification> [ASSISTANT] ecosystem-vaults at 100 GB, merlino-vault hasn't started yet. Still chewing. Standing by for the wakeup.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>100077</total_tokens><tool_uses>0</tool_uses><duration_ms>2231</duration_ms></usage> </task-notification> [ASSISTANT] 157,555 files, 101 GB on F:. Still going.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>157,555 files copied, 101 GB on F:, 821 GB free. Robocopy still running heavily. Continue monitoring.</result> <usage><total_tokens>100937</total_tokens><tool_uses>1</tool_uses><duration_ms>6018</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>99467</total_tokens><tool_uses>0</tool_uses><duration_ms>4247</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>File count enumeration still running. Continue waiting on robocopy.</result> <usage><total_tokens>100864</total_tokens><tool_uses>2</tool_uses><duration_ms>134606</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>98673</total_tokens><tool_uses>0</tool_uses><duration_ms>1654</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>98529</total_tokens><tool_uses>0</tool_uses><duration_ms>2120</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>98381</total_tokens><tool_uses>0</tool_uses><duration_ms>2208</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>98237</total_tokens><tool_uses>0</tool_uses><duration_ms>1550</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>98097</total_tokens><tool_uses>0</tool_uses><duration_ms>1725</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>97953</total_tokens><tool_uses>0</tool_uses><duration_ms>1810</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>97809</total_tokens><tool_uses>0</tool_uses><duration_ms>1698</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>97661</total_tokens><tool_uses>0</tool_uses><duration_ms>1650</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>97517</total_tokens><tool_uses>0</tool_uses><duration_ms>1947</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>97377</total_tokens><tool_uses>0</tool_uses><duration_ms>1594</duration_ms></usage> </task-notification> [ASSISTANT] Progress update: vaults at 65 GB (ecosystem-vaults done or near done, merlino-vault hasn't started yet). Robocopy still working through it.

[USER] <task-notification> <task-id>bi913gusb</task-id> <tool-use-id>toolu_01L948vbj1cuGmwR7MBhjbdA</tool-use-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\bi913gusb.output</output-file> <status>completed</status> <summary>Background command "Size check on F:\HERE subfolders" completed (exit code 0)</summary> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>97233</total_tokens><tool_uses>0</tool_uses><duration_ms>1821</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>97089</total_tokens><tool_uses>0</tool_uses><duration_ms>1741</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>96945</total_tokens><tool_uses>0</tool_uses><duration_ms>1645</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>96801</total_tokens><tool_uses>0</tool_uses><duration_ms>1889</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>96657</total_tokens><tool_uses>0</tool_uses><duration_ms>1689</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>96513</total_tokens><tool_uses>0</tool_uses><duration_ms>1728</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>96369</total_tokens><tool_uses>0</tool_uses><duration_ms>2093</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>96225</total_tokens><tool_uses>0</tool_uses><duration_ms>1708</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>96081</total_tokens><tool_uses>0</tool_uses><duration_ms>1990</duration_ms></usage> </task-notification> [ASSISTANT] 63,743 files in vaults, 68 GB used on F: (853 GB free). Steady progress. Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Good — 63,743 files in ecosystem-vaults so far, 68 GB used on F:, 853 GB free. Robocopy still running. Continue waiting via monitor.</result> <usage><total_tokens>96929</total_tokens><tool_uses>1</tool_uses><duration_ms>5818</duration_ms></usage> </task-notification> [ASSISTANT] 63,743 files in vaults, 68 GB used on F: (853 GB free). Steady progress. Standing by.

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Robocopy is still running, find still computing. Let me wait longer with a new monitor.</result> <usage><total_tokens>96183</total_tokens><tool_uses>3</tool_uses><duration_ms>154546</duration_ms></usage> </task-notification> [ASSISTANT] Wakeup re-armed for 25 min. Robocopy chewing through vaults at steady pace (~10k files / 5 min). I'll write the manifest the moment it's done.

[USER] Check on the F:\HERE robocopy job. List F:\HERE contents, run du -sh, check if Robocopy.exe is still in tasklist. If done, write the F:\HERE\README.md manifest with source map, file counts, total size, dedup notes, dated 2026-05-17. Report the final summary block to Mike. [ASSISTANT] [tool_use:ScheduleWakeup]

[USER] <task-notification> <task-id>a35773027e146d7c2</task-id> <output-file>C:\Users\mikem\AppData\Local\Temp\claude\D--ClaudeDev\a05a7db0-fdbd-4d5a-9019-b037f8cf7225\tasks\a35773027e146d7c2.output</output-file> <status>completed</status> <summary>Agent "Consolidate skills to F:\HERE" completed</summary> <result>Continuing.</result> <usage><total_tokens>93402</total_tokens><tool_uses>0</tool_uses><duration_ms>1756</duration_ms></usage> </task-notification> [ASSISTANT] 38,726 files now. Still progressing through vaults.