agentsclimarketplace

Image editing

Skill event4u-app/agent-config/src/skills/image-editing

Universal AI Agent OS — audited skills, governance rules, replayable state. One contract, every host agent.

Install
npx -y skills add event4u-app/agent-config --skill image-editing

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 7 stars7 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Edit an existing image — inpaint, background swap, variation — via providers that support it. Use when editing/modifying/inpainting an image or making variations.

SKILL.md

5.5 KB, as published. Nobody here has run it

image-editing

Edit or vary an existing image: inpaint masked regions, swap backgrounds, produce variations from a seed, or upscale — routed to providers that support the edit API, with governance applied before delivery. All adapters are scaffold-tier (dry-run) until promoted to stable.

When to use

  • User asks to edit, modify, inpaint, or make a variation of an existing image.
  • Background removal or swap on a provided asset.
  • Upscaling or restyling an existing render from a prior generation run.
  • Any task that starts from an image rather than a blank brief.

Procedure

  1. Identify the edit type — classify the request: inpaint (replace a masked region), background (remove or swap), variation (alternate version of the same subject), or upscale (resolution increase).
  2. Confirm provider support — not all providers support image editing. GPT Image 2 and gemini-image both expose an edit/inpaint endpoint. Flux and Recraft support variation via seed/ref-image only; Ideogram is largely generate-only. Check the provider's capability before proceeding.
  3. Route the provider via image-provider-routing — route to a provider whose adapter exposes an edit endpoint for the required edit type. Selecting a generate-only provider for an inpaint task will fail silently.
  4. Author the edit instruction via prompt-engineering-image — write the edit prompt in the target provider's grammar. For inpaint, describe what fills the masked region. For variation, carry the original seed/ref-image path forward.
  5. Invoke the adapter (dry-run today) — run src/scripts/ai-image/adapters/<provider>.sh with the assembled params including the source image path and, for inpaint, the mask path. Validate the returned artifact path or dry-run confirmation. All adapters are experimental (scaffold-tier); no live editing occurs until a maintainer promotes the adapter via provider-lifecycle-discipline.
  6. Apply rights and disclosure governance — run the rights check (image-likeness-and-rights) when the source image or edit instruction involves a real person's likeness, a brand mark, or a named living artist's style. Attach the AI-disclosure footer per media-governance-routing before delivering output.

Output format

  1. Edit plan — edit type, chosen provider, routing rationale, and prompt string ready to copy.
  2. Provider + params — adapter file reference, source image path, mask path (if inpaint), key params (aspect ratio, strength, seed/ref-image for variation).
  3. Artifact path / dry-run note — the path returned by the adapter, or an explicit note: "adapter is experimental (scaffold-tier) — dry-run plan only; no edited asset until promotion per provider-lifecycle-discipline."

Gotcha

  • Scaffold-tier adapters produce plans, not pixels — adapters for GPT Image 2, gemini-image, Flux, and Recraft are scaffold-tier (dry-run only). This skill produces the edit blueprint + dry-run confirmation; actual edits require a maintainer to capture a smoke trace and promote the adapter to stable. Claiming an edited asset exists when no adapter is stable misleads the caller.
  • Not all providers support editing — Ideogram and Recraft are primarily generate-only; they do not expose a mask-based inpaint endpoint. Routing an inpaint task to them silently falls back to generation from scratch, discarding the source image entirely.
  • Variation needs the original seed or ref-image — requesting a variation without carrying the seed value or ref-image path from the original generation will produce a stylistically unrelated result. The seed/ref-image is the only reliable continuity lever for variation workflows.

Do NOT

  • Do NOT assume every provider supports image editing — check provider capability before routing; a generate-only provider will discard the source image.
  • Do NOT skip image-likeness-and-rights when the source image or edit prompt involves a real person's face, a brand mark, or a named living artist's style.
  • Do NOT claim a live edit is produced while adapters are scaffold-tier — surface the dry-run caveat explicitly every time.
  • Do NOT use this skill for generating a new image from scratch — route that to image-generation instead.

See also

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.