Agent skill

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.

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/luw2007/skills/tree/main/favorites-curator

SKILL.md

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

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

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

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

Generate daily digest

bash
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

bash
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.

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