Individual skill
still-image-retouching-finishing
Provider-independent still-image post-production skill for RAW/rendered intake, nondestructive development, exposure, white balance, tone, color, ICC proofing, masking, repair, compositing, truthful retouching by genre, generative disclosure, sharpening, noise, resampling, variants, metadata, export, QA, rights, and ethical finishing. Use when an agent must plan, perform, direct, or review still photography retouching and finishing for print, web, social, archive, publication, or client delivery; do not use for image-generation APIs, video grading, or campaign-specific production strategy.
skills/production/post-production/still-image-retouching-finishing/SKILL.md
Source commit 8c85352d5d75d4dcbe58480bd138e37b9742bab1
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- No
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- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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- 239
- Repository last updated
- Jul 14, 2026
- License
- MIT
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# Still Image Retouching and Finishing
This skill is for finishing existing still images. It assumes there is a captured, scanned, rendered, or composited source image and that the agent's job is to make production decisions about development, retouching, color, metadata, output, and review. It is tool-agnostic: Lightroom, Camera Raw, Capture One, Darktable, RawTherapee, Affinity Photo, Photoshop, GIMP, command-line processors, DAM systems, RIP software, and lab portals are possible instruments, but the skill's decisions are about craft and delivery rather than any one vendor.
Use it for:
- RAW intake, rendered-file intake, selects, versioning, sidecars, and handoff notes.
- Nondestructive development: exposure, white balance, tone mapping, lens corrections, local masks, snapshots, proof copies, layers, smart objects, adjustment stacks, and reversible repair.
- Color-managed finishing: working spaces, embedded profiles, monitor profiling, ICC soft proofing, rendering intents, output profiles, print proofing, and web/social conversions.
- Retouching: dust, sensor spots, blemishes, flyaways, fabric wrinkles, product cleanup, architecture perspective, food freshness, documentary limits, compositing cleanup, and client/legal review.
- Generative fill or AI repair decisions only as post-production interventions on existing stills, including disclosure, provenance, and rights notes.
- Sharpening, noise reduction, resampling, crop variants, batch consistency, metadata, accessibility metadata, export recipes, QA, and archive/delivery packages.
Do not use it for: