Downloads represent real user actions and should not be filtered by
browse-ready criteria. Skills count and contributors remain filtered.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add comprehensive data curation system to clean up the 197K skill
dataset and show only quality browse-ready skills to users.
Phase 1 — Database exploration:
- Explore scripts (explore.ts, explore.mjs, explore.sql) for analysis
- Discovered: 69% duplicates, 77% aggregator/fork noise
Phase 2 — Data cleanup and classification:
- Schema: 6 new curation columns + 4 indexes
- curate.mjs: 8-step pipeline (classify, dedup, fork detection, etc.)
- Result: 197K → 60K unique → 16K browse-ready skills
- Bug fix: securityStatus was computed but never stored during crawl
Phase 3 — UI browse-ready filters:
- browseReadyFilter applied to 17+ query functions
- Homepage stats show accurate browse-ready counts
- Stats API filtered (previously had no WHERE clause)
- Category counts recalculated (e.g. 45K → 3.1K)
- Featured skills exclude duplicates and aggregators
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Open-source marketplace for AI Agent skills.
Features:
- Next.js 15 web app with i18n (en/fa)
- CLI tool for skill installation (npx skillhub)
- GitHub crawler/indexer with multi-strategy discovery
- Security scanning for all indexed skills
- Self-hostable with Docker
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
