Keep discovery metadata in a curated local catalog
Keep discovery metadata in a curated local catalog for predictable builds, accepting explicit synchronization work.
A curated portfolio of reusable SKILL.md capabilities for Claude Code, OpenAI Codex, Cursor, and other AI coding agents.

Reusable SKILL.md capabilities are scattered across repositories and are difficult to compare by purpose, host compatibility, maturity, and install path.
Catalog facts can drift from source repositories and package releases.
Remote GitHub README fetching can fail or be rate-limited.
Heterogeneous Markdown must render safely and consistently without implying every skill has identical support.
TanStack Start routes and React catalog UI; typed local catalog/search/filter model; remote README fetch/render pipeline with retry/source fallback; build-time metadata, sitemap, and Netlify deployment.
TanStack Start routes and React catalog UI.
Typed local catalog/search/filter model.
Remote README fetch/render pipeline with retry/source fallback.
Build-time metadata, sitemap, and Netlify deployment.
Keep discovery metadata in a curated local catalog for predictable builds, accepting explicit synchronization work.
Render source documentation while retaining direct-source fallbacks when fetches fail.
Use one featured entry and structured status/compatibility fields so comparisons remain consistent.

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