spark-forge

GPT-Image2-Skill combines a curated prompt gallery, an Agent Skill, and the `gpt-image` CLI for OpenAI image generation and editing. You can request gallery examples in natural language from Codex, Claude Code, OpenClaw, Hermes, and similar runtimes, or copy prompts into the command line and adapt them for posters, UI mockups, game interfaces, photography, maps, typography, or reference-image edits. The repository also explains prompt structure in English and Chinese. Scientific figures are framed as references or reproducible workflow targets, not unchecked final publication assets.

Agent Sprite Forge turns natural-language requests into a structured 2D game-asset workflow. An agent generates raw visuals, then local processors remove backgrounds, split frames, validate results, and export PNGs, sprite sheets, GIFs, layered maps, and scene data for Godot, Unity, or other 2D projects. Standard sprite and map skills require built-in image generation. The denser video-to-sprite workflow depends on Grok Build's image-to-video tools, though exported frames can be reprocessed locally with ffmpeg and Pillow.

Ian Handdrawn PPT helps Codex turn articles, course notes, outlines, or talks into a visual sequence before generating the pages. It produces a 21:9 cover, 16:9 hand-drawn Chinese explanation images, and a contact sheet for reviewing consistency. The workflow is suited to article illustrations, lessons, and knowledge cards, but its deliverables are PNG page images rather than editable PPTX, PDF, vector, or interactive files.

Use pixeltamer from Claude Code, Codex CLI, OpenCode, Cursor, or another skill-aware agent to generate, edit, or compose images with gpt-image-2. It structures prompts, selects an available backend, and reloads each result for a visual check before reporting success. Authentication can use an OpenAI API key or a signed-in Codex client. Mask-based inpainting and parallel variant generation require the API backend, while standard editing and composition can use either backend.