favorites-curator

Build and maintain a local favorites catalog from installed repositories, apps, skills, extensions, and hooks. Use when the user asks to create, refresh, curate, scan, or summarize a favorites collection, software inventory, skill inventory, or daily digest of useful local resources.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

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Install skill "favorites-curator" with this command: npx skills add luw2007/favorites-curator

Favorites Curator

Maintain a file-backed catalog of useful local resources.

Do First

  1. Run scripts/scan_favorites.py to refresh entries and the latest snapshot.
  2. Run scripts/daily_digest.py to compare the latest snapshot with the previous one and produce a digest.
  3. Run scripts/notify_candidates.py when the user wants short notification copy for notable items.

Paths

  • Entries: favorites/entries/
  • Snapshots: favorites/snapshots/
  • Reports: favorites/reports/
  • Cache: favorites/enrichment-cache.json
  • Skill code: skills/favorites-curator/
  • Naming and schema notes: references/naming-and-model.md

Covered Sources

  • ~/ai git repositories
  • brew installed formulae and casks
  • /Applications and ~/Applications
  • ~/.codex/skills
  • ~/.claude/skills
  • ~/.agents/skills
  • ~/.openclaw/workspace/skills
  • ~/.openclaw/extensions
  • ~/.openclaw/hooks

Expected Workflow

Refresh catalog

python3 skills/favorites-curator/scripts/scan_favorites.py

Use --limit-source to iterate on one source:

python3 skills/favorites-curator/scripts/scan_favorites.py --limit-source brew

Generate daily digest

python3 skills/favorites-curator/scripts/daily_digest.py

This produces a Markdown report with:

  • new entries
  • updated entries
  • likely similar items worth deduping or cross-referencing
  • notable items worth surfacing

Emit notification copy

python3 skills/favorites-curator/scripts/notify_candidates.py

Use --top N to cap the number of lines.

Data Rules

  • Prefer local metadata over online enrichment.
  • Leave missing fields empty or mark them as inferred in field_sources.
  • Keep filenames ASCII, sortable, and machine-friendly.
  • Store one entry per file.
  • Update the same entry file on re-scan instead of creating duplicates.

Output Contract

Each entry file must keep these fields in frontmatter:

  • name
  • author
  • data_type
  • install_path
  • install_time
  • update_time
  • summary
  • simple_usage
  • source_url

Other helper fields are allowed when useful for automation.

Notes

  • The scripts are local-first and safe to run repeatedly.
  • brew info --json=v2 --installed is used once per scan; avoid tight cron loops.
  • Read references/naming-and-model.md before changing filename rules or schema.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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