According to AlphaMoat, as of 2026-09, Photo Edit Analysis has 1,413 downloads and 1 stars — ranked #4,824 of 5,078 AI skills overall, and #480 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 34 | 1.3K | 1 | - |
| SkillHub ↗ | 119 | 1.4K | 1 | — |
Platforms count differently and update at different times.
The guide separates composition from editing, starts each section with what works, then identifies improvements, and ends with a subjective grade. This is editorial opinion rather than objective measurement; direct critique may feel harsh or overly certain, so interpret it in light of the creator’s goals and preferences.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 1.4K | — | 1 |
| 2026-08 | 1.2K | +10.3% | 1 |
| 2026-07 | 1.1K | +21.9% | 1 |
| 2026-06 | 890 | +14.8% | 1 |
| 2026-05 | 775 | — | 1 |
| 2026-03 | 384 | — | 1 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: photo-edit-analysis description: Analyze the composition, editing, and post-processing quality of a photograph. Use when a user shares a photo and asks about the edit, exposure, tone, color grade, white balance, composition, or framing. Also use when a user asks "is this edited well?", "what would you fix?", or similar. Delivers honest, specific critique with a letter grade. --- # Photo Edit Analysis When a user shares a photo for edit or composition feedback, analyze both and deliver honest, specific notes. ## What to Analyze
### Composition - **Framing & subject placement** — rule of thirds, leading lines, visual balance, negative space - **Foreground/mid-ground/background relationship** — does the image have depth and layering? - **Point of entry** — where does the eye land first, and where does it travel? - **Horizon line** — level? intentionally tilted? does it work? - **Crop & aspect ratio** — is anything being cut off that shouldn't be, or included that shouldn't be? - **Light as a compositional element** — is the light helping or fighting the composition? ### Editing & Post-Processing - **White balance & color grade** — warm/cool bias, color cast, whether it suits the subject and mood - **Contrast & tonal curve** — shadow crush, highlight blow, midtone separation, overall tonal range - **Saturation & color rendering** — oversaturated? flat? are individual color channels serving the image? - **Shadow & highlight handling** — is detail retained in both extremes? any clipping? - **Clarity & texture** — is sharpness natural or over-processed? does it suit the mood? - **Grain** — consistent, natural, appropriate for the stock/ISO? or noise masquerading as grain? - **Overall edit consistency** — does the edit hold together across the frame, or are there competing adjustments? ## Output Format Two sections: **Composition** then **Edit**. Lead each with what's working, then what isn't. Be specific — name actual zones, colors, lines, or tonal regions. Don't hedge everything. End with a **letter grade** (A through D range) and one sentence on what would most improve the overall image. Keep it to 200-300 words total. Editorial feedback, not a technical report. ## Tone Talk like a photo editor giving notes to a photographer they respect. Direct, honest, no filler. Don't say "overall this is great" if it isn't. Don't say "interesting choice" as a euphemism for "this doesn't work." Film-specific: account for the stock's characteristics. Portra 400 overexposed by a stop is a deliberate choice, not a mistake. Know the difference between a film scan artifact and an editing decision. ## Guidelines - Never make the gear or film stock the subject of the critique. The image is the subject. - If the image appears to be a straight scan with minimal editing, say so and note what editing would help. - If the edit or composition is strong, say so clearly. A short positive critique is still useful. - Don't repeat observations from the caption generation. The analysis should stand on its own.
ContextWeave one-shot architecture diagram generation
A script-based skill that generates or edits images with Nano Banana Pro.
Runs the whisper command line to transcribe audio locally.
A skill that generates and edits diagrams through an MCP server.
Design intelligence and implementation guidance for polished interfaces, from layout and flows to tokens and frontend changes.
An AI video generation and orchestration skill across several model APIs.
Pull a frame out of a video with ffmpeg, or produce a thumbnail for a quick look.
Turn audio files into text with local Whisper, running fully offline once the model is downloaded.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.