Master Resource Index

Lesson preview

Access to AI resources is no longer scarce. Curation is. com/blog, Clay outreach bot, Amplemarket); research tools (Firecrawl, Exa, Tavily, Perplexity Sonar, Parallel, Linkup, Brave); and GEO and context/evals resources. The rule for every item: one-line adoption plan or it doesn't make the list. Bookmarks without intent are noise. Start here before building anything from scratch. anthropics/skills — Anthropic's own reference implementations. Read these before writing your own skills; they set the standard for structure, safety, and progressive disclosure. claude-code-action — the headless/CI pattern for running Claude in automated pipelines. Official Plugin Directory — the canonical list of what's been built and sanctioned. Engineering posts worth reading closely: 'How Claude Code Works' (architecture), 'How We Built Our Multi-Agent Research System' (canonical orchestrator/subagent design — this is the reference for Sprint 6), 'Steering Claude Code' (the extension decision framework: when to use hooks vs skills vs subagents), and 'Skills Explained' (progressive disclosure + decision matrices). com — the live reference for Agent SDK, Skills API, MCP docs, and the prompt engineering guide. Check it before trusting anything older than three months. These are the repos and resources that the builder community actually uses — a better signal than vendor marketing. hesreallyhim/awesome-claude-code — the de-facto index. Review it monthly. It's the fastest way to see what's gaining traction in the ecosystem. ComposioHQ/awesome-claude-skills + travisvn/awesome-claude-skills — two curated skill libraries worth cross-referencing. obra/superpowers (~94k stars) and 'Everything Claude Code' (~100k-star class) — high-signal aggregators. awesome-claude-code-toolkit — hooks, commands, plugins; the practical layer. DenisSergeevitch/agents-best-practices — the harness engineering reference. This is where Module 18's risk taxonomy language comes from. Ay-Skills (SEO suite), yusufkaraaslan/SkillSeekers (docs→skill converter), glebis/claude-skills (retrospective and consulting context-builder). Also worth studying: x1xhlol/system-prompts-and-models-of-ai-tools — a reverse-engineered collection of how the best AI products actually prompt. Study these; don't copy them.

Frequently asked questions

Who is "Master Resource Index" for?

This Expert module in AI-Native Operator's Field Manual is for operators, founders and growth teams who run AI in real work and want production-grade judgement. It takes about 5 minutes and ends with a 5-question quiz.

Do I need to code?

Not necessarily. The workflows use operator tools such as Claude, n8n and Lovable; some exercises are easier if you are comfortable editing a config file or prompt template.

What comes before and after this module?

Before "Master Resource Index", take "Pricing, Positioning & the Anti-Commodity Moat" (module 23 of AI-Native Operator's Field Manual). It is the last module of AI-Native Operator's Field Manual; continue with another volume in the curriculum.

Related modules

• Previous
  Pricing, Positioning & the Anti-Commodity Moat

  Price against alternative headcount; moat via compounding library.

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  The Skill Ecosystem

  The repos worth installing, and hygiene rules for third-party skills.

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  From Chatbots to Operating Systems

  The three shifts that turned AI from advisor into operator.