index-docs

A searchable index extracts sections and keywords from docs and code files, then generates search.json, quick-ref.md, and glossary.md artifacts. index-docs automates this by scanning your docs/ and src/ directories, parsing Markdown and code exports, and producing cross-linked indexes under .claude/index/ for fast context lookup.

Indexing documentation creates a unified search layer that maps documentation to code references and keywords. index-docs config-driven loading parses your existing Markdown and code, extracts relevant sections, builds cross-references, and outputs structured indexes so you retrieve context instantly instead of hunting through files.

Yes. index-docs indexes both documentation and source code simultaneously, producing separate docs-index.json and code-index.json artifacts plus a unified search.json. This enables cross-reference building between your Markdown docs and code exports, letting you search and retrieve results that link both formats together.

Incremental refresh updates only changed sections instead of re-indexing everything, reducing processing time on large projects. index-docs supports optional incremental refresh to detect updates in your docs/ and src/ and regenerate only affected indexes and metadata.json, speeding up iteration during active documentation work.

index-docs parses Markdown (via markdown-toc) and code exports, extracting sections and keywords from both. It works with YAML configuration for flexible loading, accepts code references and documentation as inputs, and produces structured JSON indexes, quick-reference Markdown, and glossary artifacts.

Yes. Indexing documentation and code accelerates onboarding by enabling fast context discovery and code-to-doc mapping. index-docs generates searchable indexes and quick-reference guides specifically for brownfield projects, letting new members retrieve relevant sections and code references instantly instead of navigating unorganized documentation.