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[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.

[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 — 38,726 files.</result> <usage><total_tokens>93247</total_tokens><tool_uses>0</tool_uses><duration_ms>2209</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>93103</total_tokens><tool_uses>0</tool_uses><duration_ms>1900</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>92956</total_tokens><tool_uses>0</tool_uses><duration_ms>1881</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>92812</total_tokens><tool_uses>0</tool_uses><duration_ms>2057</duration_ms></usage> </task-notification> [ASSISTANT] Big jump — 16,348 files now. Still progressing.

[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>Big jump to 16348 files.</result> <usage><total_tokens>92669</total_tokens><tool_uses>0</tool_uses><duration_ms>1980</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>92525</total_tokens><tool_uses>0</tool_uses><duration_ms>1681</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>92374</total_tokens><tool_uses>0</tool_uses><duration_ms>4808</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>92237</total_tokens><tool_uses>0</tool_uses><duration_ms>1662</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 — likely large media files.</result> <usage><total_tokens>92080</total_tokens><tool_uses>0</tool_uses><duration_ms>2290</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>91936</total_tokens><tool_uses>0</tool_uses><duration_ms>1753</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>91792</total_tokens><tool_uses>0</tool_uses><duration_ms>1981</duration_ms></usage> </task-notification> [ASSISTANT] Standing by.