Set up, migrate, and maintain a project's documentation for maximum AI context efficiency using Claude Code's native mechanisms. Builds a 2-layer system (`.claude/rules/*.md` for the AI + `docs/*.md` for humans) that cuts startup tokens 20-40% vs custom summary patterns. Triggers — "set up docs structure", "optimize docs for AI", "install .claude/rules", "migrate _lite to rules", "audit docs", "sy
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Docs Architect — AI-Optimized Documentation (v2)
Build and maintain documentation that rides on Claude Code's native loading mechanisms. Cuts AI token consumption by 20–40% versus the v1 custom-summary pattern while preserving all information and giving humans a clean reference.
Core principle
Docs are a knowledge base. The AI receives only what is strictly necessary per task. v2 uses the official .claude/rules/ mechanism with two loading modes:
Always-loaded rules — frontmatter
[Description truncada. Veja o README completo no GitHub.]
