The problem: 2,000 skills, no map
Claude Code skills exploded across 2025 and into 2026. The official registry at skills.sh and the parallel ecosystem on GitHub now expose well over 2,000 public skills — covering everything from frontend-design patterns to azure-deploy to nano-banana-pro image generation. The format won. Every serious AI coding agent — Claude Code, Cursor, OpenSeek, Codex — now ships some flavor of "loadable context package".
But there is no ranked, install-weighted, searchable index. The registry lists skills alphabetically, paginates them across dozens of pages, and doesn't surface install volume in a way you can sort. You discover a useful skill one of three ways: someone tweets it, you scroll forever, or you already know the author/repo combo. None of those scale past a few hundred skills.
So I built one. orangebot.ai/skills is a ranked, filterable index of 1,998 public Claude Code skills sorted by weekly install volume, tagged by domain, with individual detail pages for the top 50 highest-installed entries. It is the page I wanted six months ago and didn't have.
This post is the build log. Three parts: the stack (boring on purpose), the SEO crisis I walked into and the fix that shipped today, and what the install data actually says about where AI coding tools are headed in 2026.
