Overview
- Skill Key
- and3rn3t/apple-photos-cleaner
- Author
- and3rn3t
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/and3rn3t/apple-photos-cleaner
- Latest Commit SHA
- d3bfe1c9423253908cb251638fc7202a186e58b3
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Apple Photos Cleaner 技能。 若已安装,则直接安装 Apple Photos Cleaner 技能。
# Apple Photos Cleaner Comprehensive toolkit for analyzing and cleaning up Apple Photos libraries. Goes beyond what Photos.app offers: intelligent junk detection, detailed storage analysis, duplicate finding with quality scoring, timeline recaps for storytelling, and smart export planning. ## Overview Apple Photos is great at organizing and syncing photos, but it's not so great at cleanup. This skill fills that gap: - **Library Analysis** — Get the big picture: counts, storage, date ranges, people, quality distribution - **Junk Finder** — Identify screenshots, low-quality photos, burst leftovers, old screenshots - **Duplicate Finder** — Find duplicates using Apple's detection + timestamp/dimension matching - **Storage Analyzer** — Detailed breakdown by year, type, file format, growth trends, storage hogs - **Timeline Recap** — Generate narrative summaries of photo activity for any date range - **Smart Export** — Plan organized exports by year/month, person, album, or location; AppleScript export - **Best Photos / Hidden Gems** — Surface high-quality photos you haven't favorited - **People Analyzer** — Deep analysis of people: co-occurrence, trends over time, best photos per person - **Location Mapper** — Cluster GPS coordinates into locations, identify trips, offline reverse geocoding - **Scene Search** — Search by ML-detected content (beach, dog, food) or generate content inventory - **Photo Habits** — Behavioral analytics: time-of-day, day-of-week, streaks, seasonal trends - **On This Day** — See what you photographed on today's date in prior years - **Album Auditor** — Find orphan photos, empty albums, overlap between albums - **Cleanup Executor** — Batch move junk to trash via AppleScript with confirmation - **Live Photo Analyzer** — Compare Live Photos vs stills, find conversion candidates, storage impact - **Shared Library** — Analyze Shared Library vs personal: contributors, content splits, storage - **iCloud Status** — Check iCloud sync coverage: synced...
# Apple Photos Cleaner Analyze, audit, and clean up your Apple Photos library by querying its SQLite database directly. Goes beyond what Photos.app offers: intelligent junk detection, detailed storage analysis, duplicate finding with quality scoring, timeline recaps, people analytics, location mapping, and more. > **Safety:** All operations are read-only database queries. No photos are modified or deleted without explicit user action through the cleanup executor. ## Requirements - **macOS** (accesses the Photos SQLite database) - **Python 3.9+** (uses stdlib only — no external runtime dependencies) ## Setup ```bash # Clone the repo git clone https://github.com/and3rn3t/apple-photos-cleaner.git cd apple-photos-cleaner # Install dev/test dependencies make install ``` ## Commands Every script lives in `scripts/` and outputs **JSON** by default (for piping / AI consumption). Add `--human` for readable terminal output. | Script | Purpose | |---|---| | `library_analysis.py` | Big-picture stats: counts, storage, date ranges, quality distribution | | `junk_finder.py` | Identify screenshots, low-quality photos, burst leftovers | | `duplicate_finder.py` | Find duplicates via Apple's detection + timestamp/dimension matching | | `storage_analyzer.py` | Breakdown by year, type, format; growth trends; storage hogs | | `timeline_recap.py` | Narrative summaries of photo activity for any date range | | `smart_export.py` | Plan organized exports by year/month, person, album, or location | | `best_photos.py` | Surface high-quality photos you haven't favorited | | `people_analyzer.py` | People co-occurrence, trends over time, best photos per person | | `location_mapper.py` | Cluster GPS coordinates into locations, identify trips | | `scene_search.py` | Search by ML-detected content (beach, dog, food) or browse inventory | | `photo_habits.py` | Time-of-day, day-of-week, streaks, seasonal trends | | `on_this_day.py` | Photos from today's date in prior years | | `album_auditor....
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