Generate and normalize 2D sprite animations. Use when the user asks for full-strip generation from approved source frames, consistent anchor and scale normalization, or preview assets for browser-game animation.
npx skills add https://github.com/openai/plugins --skill sprite-pipeline
Use this skill for 2D sprite generation and normalization. This workflow is intentionally anchored around one approved frame and a whole-strip generation pass because frame-by-frame generation drifts too easily.
This skill is 2D-specific. If the request is for 3D characters, meshes, or materials, route back through ../game-studio/SKILL.md.
../../scripts/build_sprite_edit_canvas.py.../../scripts/normalize_sprite_strip.py.../../scripts/render_sprite_preview_sheet.py.Always preserve these invariants in the prompt:
Always ask for:
For live asset generation or edits, use the installed imagegen skill in this workspace. This skill defines the game-specific process; imagegen handles the API-backed generation or edit execution.
Create a reference canvas:
python3 scripts/build_sprite_edit_canvas.py \
--seed output/sprites/idle-01.png \
--out output/sprites/hurt-edit-canvas.png \
--frames 4 \
--slot-size 256 \
--canvas-size 1024
Normalize a raw strip:
python3 scripts/normalize_sprite_strip.py \
--input output/sprites/hurt-raw.png \
--out-dir output/sprites/hurt \
--frames 4 \
--frame-size 64 \
--anchor output/sprites/idle-01.png \
--lock-frame1
Render a preview sheet:
python3 scripts/render_sprite_preview_sheet.py \
--frames-dir output/sprites/hurt \
--out output/sprites/hurt-preview.png \
--columns 4
../../references/sprite-pipeline.md../game-ui-frontend/SKILL.mdCreate beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.
Publish Markdown articles to X (Twitter) Articles editor with proper formatting. Use when user wants to publish a Markdown file/URL to X Articles, or mentions "publish to X", "post article to Twitter", "X article", or wants help with X Premium article publishing. Handles cover image upload and converts Markdown to rich text automatically.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Take openai/sprite-pipeline from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.