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.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
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.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
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.