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Found 41 Skills
Edit images with OpenAI GPT Image 2 (the `/edit` endpoint of ChatGPT Images 2.0) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents GPT Image Edit's strengths (preservation language, multilingual in-image text editing, multi-reference up to 10 images, layout / typography precision), the schema, and when to route to Nano Banana Edit / Flux Kontext / GPT Image 2 t2i instead. Calls `runcomfy run openai/gpt-image-2/edit` through the local RunComfy CLI. Triggers on "gpt image edit", "gpt-image-edit", "chatgpt image edit", "edit with gpt image 2", or any explicit ask to edit with this model.
Upgrade a coded website to award-tier, editorially-crafted design using fal.ai. Takes a local HTML file or a dev-server URL, screenshots it, has an opus-4.7 vision model write a gpt-image-2 edit prompt, uses fal-ai/gpt-image-2/edit to produce the redesigned reference image, then opus-4.7 vision writes a Markdown build-spec with a "Hard constraints" section + a tokens.json. Also supports iterate (screenshot implemented site → delta-spec vs reference) and greenfield generate (brief → mockup → single-file HTML). Invoke when the user says "improve the design", "make it world-class", "redesign this landing page", "upgrade this site", "design pass", or points at a local HTML / dev server for a visual review.
Build a fully-interactive 3D character-selector experience powered entirely by fal.ai. Generates stylized characters (FLUX.2 / GPT-Image-2), rigged animated GLBs (Meshy v6), themed companion creatures, per-character PATINA floor textures, looped Seedance video backgrounds, and a Three.js scene with palette swaps, breathing reflections, transition effects and a CREATE-YOUR-OWN flow.
Generate 2D pixel art game assets, characters, sprite sheets, background removal, and game backgrounds. Trigger for "pixel art character", "sprite sheet", "walk cycle", "game sprites", "isometric sprites", "side-scroller assets", "RPG character sprites", "idle animation", "attack animation", "jump animation", "game background", "parallax background", "isometric map", "2D game art", "pixel art animation". Covers character generation (nano-banana-pro / gpt-image-2), sprite sheet animation (nano/edit or gpt-image-2/edit), background removal (Bria), and background generation (parallax layers or isometric map).
imagine is a multi-provider command-line tool for generating and editing images via Google Gemini, Google Vertex AI, and OpenAI (gpt-image-2).
Single-image generation skill for posters, key art, and editorial illustrations. Defaults to gpt-image-2 but is provider-agnostic — the same workflow drives Flux, Imagen, or Midjourney via the active upstream tooling. Output is one or more PNG/JPEG files saved to the project folder.
Generate or edit images using OpenAI GPT Image API (gpt-image-2, gpt-image-1, etc). Use ONLY when the user explicitly names OpenAI or GPT as the provider: "gpt image", "openai image", "generate image with openai", "用 openai 画图", "用 GPT 生成图片". For generic image requests without a provider, use nanobanana-skill instead. Do NOT use for diagrams (架构图/流程图) — draw those with Mermaid or code.
Use when the user asks for stagefight or a task matching the examples below. Generate a viral "fan-filmed staged fight" clip — POV phone footage of two costumed performers having a choreographed cosplay battle on an elaborate themed stage at a live outdoor event, with a believable live-stage effect (smoke / colored fire / water geyser) and a crowd in the foreground filming. A gpt-image-2 stage still → image-to-video (Seedance, ~10s, 16:9). The advertiser-safe "theatrical performance" framing is what gets fight content past moderation. Triggers: "/stagefight", "make a staged fight video", "fan-filmed cosplay fight", "ninja/samurai stage battle", "that staged fight trend". Requires the pika MCP.
Generate images or videos via CawCut official node capabilities using the local `cawcut` CLI. Defaults: gpt-image-2 for image/edit; Seedance 2.0 for video when live discovery is unavailable. Use when: "generate an image", "make a video", "text-to-image", "text to image", "text-to-video", "text to video", "image-to-image", "image to image", "edit/stylize/remix this image", "image-to-video", "image to video", "animate this photo", "omni-to-video", "omni to video", "/cawcut-generate", or free-form content descriptions (e.g. "a cute little hedgehog"). Supports text-to-image, text-to-video, image-to-image, image-to-video, and omni-to-video. Checks the App catalog first; hands off to cawcut-app-run on a similar App match. Requires `cawcut` installed and `cawcut auth login` completed. NOT for: running an App already chosen (use cawcut-app-run), app discovery/browsing ("what apps are there", "what can an app generate"), OAuth setup alone, or Web UI-only flows without the CLI.
Generate brand-quality product images via mode-specific prompt enhancement on Higgsfield's gpt_image_2 model. The single entry point for any professional brand visual involving a product. Use when: "make a product photo", "studio shot", "lifestyle photo", "in use", "Pinterest pin", "hero banner", "website header", "carousel", "Meta ads", "ad creatives", "model wearing", "virtual try-on", "person holding product", "closeup with hands", "levitating product", "floating", "splash shot", "CGI style", "surreal product", "restyle", "Christmas version", "in [aesthetic] style", or any request involving a product, brand, or paid social creative. Modes: product_shot, lifestyle_scene, closeup_product_with_person, pinterest_pin, hero_banner, social_carousel, ad_creative_pack, virtual_model_tryout, conceptual_product, restyle. Backend assembles the final prompt — never write gpt_image_2 prompts freehand. Always go through this skill. NOT for: raw text-to-image with no brand/product (use higgsfield-generate), branded marketing video with avatars (use higgsfield-generate's Marketing Studio), Soul Character training (use higgsfield-soul-id).
Create personalized live sports broadcast fan-cam videos with genmedia. Use this for realistic spectator cutaways, stadium or arena crowd reactions, broadcast screenshots, sports TV shots, scoreboard overlays, TV channel bugs, and identity-preserving fan reaction videos from a user photo.
Generate interactive HTML presentations with professional ElevenLabs voiceover narration synced to slides. Supports dual article/slides mode, scroll-reveal animations, GPT Image 2 illustrations, and configurable detail levels. Use this skill when the user wants to create a presentation, slide deck, narrated briefing, research report with voiceover, or any content that should be presentable as both a readable article and a navigable slide deck. Also triggers on "make a presentation", "create slides", "present this", "narrated deck", "voiceover slides", "briefing with audio", or requests to turn research/notes into a shareable presentation. Works with any content — research findings, meeting summaries, proposals, educational material.