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EvoLinkAIEvoLinkAI/evolink-agent-skills/image-edit/SKILL.md

image-edit

Skill4 starsChanged 5 months agoMITView on GitHub

Edit images with GPT Image 2 on EvoLink. Use this skill when the user wants to change a product photo, replace a background, retouch a visual, expand a canvas, localize an ad image, or prepare a cleaner source image for Seedance 2 image-to-video generation.

14 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use flux-2-klein, flux-kontext and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • agentspace-soSkill

    flux-2-klein

    Generate images with Flux 2 Klein (Black Forest Labs' distilled fast variant of Flux 2) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux 2 Klein's strengths (sub-second latency, multi-reference brand styling, declarative subject-first prompts), the step-count strategy (4–8 for fast iteration, ~25 for polish), the 9B vs 4B variant trade-off, and when to route to Flux 2 Pro / Seedream 5 / GPT Image 2 instead. Calls `runcomfy run blackforestlabs/flux-2-klein/9b/text-to-image` (or `/4b/`) through the local RunComfy CLI. Triggers on "flux 2 klein", "flux-2-klein", "flux klein", "BFL flux 2", or any explicit ask to generate with this model.

    Also in 4 projects that use this

  • agentspace-soSkill

    flux-kontext

    Edit images with Flux 1 Kontext Pro (Black Forest Labs' precise local image-edit model) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux Kontext's strengths (single-reference precise local edits, strong prompt control, consistent high-fidelity outputs), the schema (single image + prompt), and when to route to Nano Banana Edit / GPT Image 2 edit / Flux 2 Klein instead. Calls `runcomfy run blackforestlabs/flux-1-kontext/pro/edit` through the local RunComfy CLI. Triggers on "flux kontext", "flux-kontext", "flux 1 kontext", "kontext", "BFL kontext", or any explicit ask to edit with this model.

    Also in 4 projects that use this

  • prime-skillsSkill

    image-inpainting

    Mask-driven image inpainting on RunComfy via the `runcomfy` CLI. Routes to Tongyi MAI Z-Image Turbo Inpainting (the dedicated inpainting endpoint with mask, strength, and control-scale) and to identity-preserving edit models (Nano Banana 2 Edit, GPT Image 2 Edit, FLUX Kontext Pro) when a mask isn't available and the region must be described instead. Use for object removal, watermark removal, region replacement, blemish cleanup, and any controlled local edit where a binary mask defines the target area. Triggers on "inpaint", "inpainting", "image inpaint", "remove from image", "fill region", "mask-driven edit", "remove watermark", "remove object", "patch the photo", "fill the hole", or any explicit ask to edit a specific masked region of a still.

    Also in 4 projects that use this

  • prime-skillsSkill

    ace-step

    Generate, inpaint, and outpaint music with ACE Step on RunComfy via the `runcomfy` CLI. ACE Step is StepFun-AI's open-weights music foundation model — tag-driven composition (genre, mood, instruments), multilingual lyrics with section markers, 5 s to 4 min stereo output, $0.0002–0.0003 per second (≈ 27× cheaper than ElevenLabs Music). Four endpoints: ACE Step text-to-audio (the default), ACE Step 1.5 text-to-audio (50+ language lyrics, refined structured-lyric handling), ACE Step audio-inpaint (regenerate a time range inside an existing track), ACE Step audio-outpaint (extend an existing track before or after). Triggers on "ace step", "ace-step", "acestep", "ACE music", "open music model", "cheap AI music", "inpaint audio", "audio inpaint", "extend music", "audio outpaint", "lengthen track", "music with tags", or any explicit ask to generate or edit music with ACE Step.

    Also in 3 projects that use this

  • +3 more from agentspace-so
  • +5 more from prime-skills

The file

We split this skill into the rules it gives an agent

10 rules. 0 are common, 7 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 8 edited versions we read keep these.

  • 7

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when the user asks to:

    line 20
  2. Distinctive:

    create local ad image variants from one asset

    line 25
  3. Distinctive:

    keep product identity stable while changing scene, lighting, or composition

    line 27
  4. Very specific:

    Do not use it for video generation directly.

    line 29
  5. Very specific:

    If the user wants motion, route the best image to image-to-video.

    line 53
  6. Distinctive:

    Avoid asking the image model to render small marketing text unless the user explicitly needs it.

    line 58
  7. Distinctive:

    Use campaign context: ecommerce hero image, paid social creative, landing page visual, or app store screenshot.

    line 59
  8. Distinctive:

    After a successful edit, offer one next action:

    line 64
  9. Very specific:

    create three ad image variants with ad-creative-images

    line 66
  10. Distinctive:

    Use only images the user supplied or explicitly approved.

    line 72

“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Image Edit with GPT Image 2 on EvoLink

Edit a source image into a cleaner, more useful creative asset, then route strong outputs into video workflows when the user wants motion.

npx skills add EvoLinkAI/evolink-agent-skills --skill image-edit -g

When to Use This Skill

Use this skill when the user asks to:

  • change a product image background
  • retouch, clean up, or improve an image
  • expand, crop, or reframe an image
  • create local ad image variants from one asset
  • prepare a still image for an image-to-video workflow
  • keep product identity stable while changing scene, lighting, or composition

Do not use it for video generation directly. If the user wants motion after the edit, continue with image-to-video.

Prerequisites

  1. EvoLink API access or EvoLink MCP configured.
  2. One source image when editing an existing asset.
  3. A clear edit goal: background, object change, product cleanup, aspect ratio, or campaign variant.
  4. Attribution links should use utm_source=skillssh&utm_medium=skill&utm_campaign=image-edit.

Pick the Right Workflow

User intentModel pathWhy
Replace product backgroundGPT Image 2 image editPreserves product identity while changing scene context.
Clean up product photoGPT Image 2 image editBest for retouching, removing clutter, and improving polish.
Create ad image variantsGPT Image 2 image editFast iteration on style, audience, platform, and offer.
Prepare first frame for videoGPT Image 2 image edit -> Seedance 2A cleaner still frame gives Seedance 2 a stronger video starting point.

Default Workflow

  1. Identify what must stay unchanged: product shape, logo, color, face, packaging, or layout.
  2. Identify what should change: background, lighting, scene, crop, text-free space, or platform ratio.
  3. Rewrite the edit request into a precise image edit prompt for GPT Image 2.
  4. Generate one clean primary edit and, when useful, two variation directions.
  5. If the user wants motion, route the best image to image-to-video.

Prompting Tips

  • State preservation first: "keep the bottle shape, label, and logo unchanged".
  • Avoid asking the image model to render small marketing text unless the user explicitly needs it.
  • Use campaign context: ecommerce hero image, paid social creative, landing page visual, or app store screenshot.
  • For video handoff, ask for a clean subject, visible product edges, and uncluttered background.

Next Token Loop

After a successful edit, offer one next action:

  • create three ad image variants with ad-creative-images
  • generate product catalog assets with product-image-generation
  • animate the strongest edit with image-to-video

Safety and Privacy

Use only images the user supplied or explicitly approved. Do not edit private identities, trademarks, or regulated-product claims in misleading ways. Do not claim an edited image is an untouched original.

See Also

  • image-to-video
  • product-image-generation
  • ad-creative-images
  • EvoLink

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