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Agent os learned

Skill percymcn/agent-cookbook/skills/uncategorized/agent-os-learned

Production-ready AI agent skills, playbooks, and workflows from the pharma6 automation lab

Install
npx -y skills add percymcn/agent-cookbook --skill agent-os-learned

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when reviewing or referencing past agent-OS architecture analysis sessions. Contains notes from evaluating local JARVIS-style AI assistants (e.g. Mark-XL) covering Whisper STT, Ollama LLM integration, tool ecosystems, and persistent memory patterns.

SKILL.md

1.0 KB, as published. Nobody here has run it

Agent OS Learned

Knowledge base of architectural analysis notes captured while evaluating local-first AI assistant frameworks.

When to use

  • Referencing how Mark-XL or similar JARVIS-style agents wire STT + LLM + tools + memory.
  • Comparing local agent architectures before building or extending Hermes capabilities.
  • Reviewing prior teardown notes on tool counts, memory backends, and voice pipelines.

Key files

  • mark-xl-analysis.md — Analysis of Mark-XL agent: Whisper STT, Ollama LLM, 18 tools, persistent memory.

Notes

  • Read-only reference skill. Does not execute commands or modify system state.
  • Content is point-in-time analysis; verify against current upstream repos before acting on details.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.