Agent skill · design visual · aiskillstore
image-edit
Edit images on RunComfy — this skill is a smart router that matches the user's intent to the right edit model in the RunComfy catalog. Picks Nano Banana Edit (batch up to 20, identity-preserving default), OpenAI GPT Image 2 Edit (multilingual in-image text rewrite, multi-ref composition, layout precision), Flux Kontext Pro (single-ref high-fidelity local edit), or Z-Image Turbo Inpaint (mask-driven precise region edit). Bundles each model's documented prompting patterns so the skill gets sharper edits without burning iterations on the wrong model. Calls `runcomfy run <vendor>/<model>/edit` through the local RunComfy CLI. Triggers on "image edit", "edit image", "image-to-image", "i2i", "swap background", "remove object", "rewrite headline", or any explicit ask to edit a single or batch of images.
Why this skill is useful
Adds specific prompting patterns and model selection logic for image editing that the AI wouldn't reliably generate on its own.
What it needs
Requires runcomfy installed locally. About 7k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Image Edit — Pro Pack on RunComfy runcomfy.com · Nano Banana Edit · GPT Image 2 Edit · Flux Kontext · Z-Image Inpaint · GitHub Image edit, intent-routed. This skill doesn't lock you to one model — it picks the right edit model in the RunComfy catalog based on what the user actually wants: batch identity-preservation, multilingual text rewrite, single-shot precise edit, or mask-driven region replacement. Pick the right model for the user's intent User intent Model Why --- --- --- Batch edit 1–20 images consistently (SKU gallery, A/B variants) Nano Banana Edit Up to 20 input images per call; locked aspect/resolution for series Swap background, preserve subject identity Nano Banana Edit Strong identity preservation under "keep X unchanged" prompts Localized object removal / addition with spatial language ("the left object", "upper-right corner") Nano Banana Edit Honors directional spatial scope Multilingual / non-Latin in-image text rewrite (Japanese kana, Cyrillic, Arabic) GPT Image 2 Edit Strongest in class for multilingual typography Multi-reference composition (subject from img1, scene from img2, palette from img3) GPT Image 2 Edit Numbered refs route cues correctly Layout-precise repositioning ("move headline from top-right to bottom-center") GPT Image 2 Edit Directional language honored at layout level Identity preservation across translated headline variants GPT Image 2 Edit Same source asset → many language variants, identity stable Single-shot precise local edit ("she's now holding an orange umbrella") Flux Kontext Pro Single-ref single-instruction, high-fidelity preservation Mask-driven object removal (cables, watermarks, distractions) Z-Image Turbo Inpaint Mask-required, strength-tunable, edge-consistent Mask-driven region replacement (full background swap with mask) Z-Image Turbo Inpaint High strength + clean mask = clean replacement Default if unspecified Nano Banana Edit Most flexible, supports both single and batch The agent reads this table, classifies …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/image-edit