technickai/openclaw-config/apple-photos
Claude Code and agent skill by technickai/openclaw-config
- community
Checking that the SKILL.md file is still in the repository.
Query, inspect, and export photos from the macOS Apple Photos library using osxphotos. Find photos by person, album, keyword, or date range. Export candidates for curation workflows.
Install
npx vskill@latest install technickai/openclaw-config/apple-photosSKILL.md
Apple Photos
Query and export from the macOS Photos library. Three subcommands cover the typical workflow: discover people, search with filters, export to a folder.
Subcommands
people
List face clusters with photo counts.
query
Search photos by person, album, keyword, and date range.
Filters: --person, --album, --keyword, --after, --before, --favorite, --edited, --movies, --newest-first
export
Copy matched photos to a destination folder. Never modifies the Photos library.
Add --edited to prefer edited versions. Use --dry-run to preview without copying.
Workflow
- Run
peopleto confirm the face label exists. - Run
queryto search and preview matches. - Run
exportto copy a batch to a working folder. - Use vision or local tools to score, sort, crop, and retouch the exports.
Guardrails
- Never modify the Photos library directly — export copies only.
- Face labels can be incomplete. Spot-check results.
- For large exports, start with
--dry-runor a narrow date range.
Fallbacks
- If face labels are incomplete, query by album/date and review manually.
- If a photo only exists in Google Photos or shared links, use browser retrieval.
- If the user wants deep retouching, export first, then use external editors.
Requirements
- macOS with Photos.app
osxphotosPython library (auto-installed via UV on first run)
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/apple-photos/SKILL.md
Popularity
- Repository stars
- 71
- Repository forks
- 13
- 7-day trend score
- 21
Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 May 2026, 5 months ago.
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