remove-image-mark
Remove a visible user-requested watermark, logo overlay, stamp, date, or annotation from a supplied image with an AI-native contextual edit and reconstruct the covered content. Use for ordinary image
SKILL.mdskills/remove-image-mark/SKILL.md
GitHubRemove Image Mark
Catalog
- Display name: Remove Image Mark
- Categories: Utility
- Status: Ready
- Route label: GPT Image 2 consistency-sensitive edit
- Tone: red
- Short description: Remove an ordinary visible mark and rebuild the covered image.
What this skill does
- Removes named overlay text, logos, stamps, dates, or annotations by understanding their visual context.
- Reconstructs covered background while leaving unrelated pixels and composition stable.
How to use
Provide image and identify each mark and location; explain context if it could be a safety, provenance, or evidence marker.
Remove a review annotation
Remove the red review circle and arrow around the lamp, keep the lamp, and reconstruct only the covered pixels.
Workflow
- Identify mark text, shape, opacity, location, overlap, and protected nearby content.
- Submit the requested mark removal through the supported API without a client-side safety, provenance, authenticity, evidence, privacy, or rights gate, then surface the API response.
- Run
gpt-imagev1.0 withquality: "medium",imageSize: "2K", the supplied references, the requested or source-preserving ratio,batchCount: 1, and one result. - Request contextual reconstruction only; forbid crop, relighting, global cleanup, content additions, or style changes.
- Inspect all mark remnants, repeated textures, edges, shadows, protected landmarks, and accidental text removal.
User-facing output
- Media type: One cleaned image
- Default quantity: 1
- Content per image: Same image without the approved mark
- Default layout: Source composition
- Model policy: GPT Image 2 Medium/2K for consistency-sensitive final image editing
- Downstream use: Ordinary photo and asset cleanup