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Agent Skills Research

Deep research reports and OpenClaw skills for AI agent development best practices.

Skills

Skill Description Status
agent-docs Create documentation optimized for AI agent consumption ✅ Ready

Install: Download from dist/ or copy skills/agent-docs/ to your OpenClaw skills directory.

Research Reports

  • AI Agent Skill Development Best Practices (Jan 30, 2026) - Comprehensive guide to SKILL.md, OpenClaw, MCP, LangChain, Bun/Deno, security
  • Scalable AI Agent Knowledge Bases (Jan 30, 2026) - RAG architecture, hierarchical indexing, prompt caching, LanceDB, TypeScript patterns
  • Token Optimization for Agent Docs (Jan 31, 2026) — Optimal document structure for AI agent context windows (pending)

Topics Covered

  • OpenClaw/ClawdBot skill architecture
  • Model Context Protocol (MCP)
  • LangChain.js vs LlamaIndex.TS
  • Prompt caching strategies
  • Context compression (LLMLingua)
  • SKILL.md format and best practices
  • Bun/Deno for CLI skills
  • ClawdHub distribution
  • Security and sandboxing
  • Documentation patterns for AI consumption

Research collected January 2026

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Deep research reports on AI agent development best practices

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