2d-character-rig-animation
Production guidance for reusable layered 2D character rigs in browser-rendered and video media. Use for SVG hierarchies, pivots and constraints, FK/IK planning, pose and facial libraries, acting, cycles, deterministic handoff, crop variants, and rig QA; not for character concept continuity, 3D armatures, or motion-capture solving.
Profile →npx skills add calesthio/generative-media-skills --skill 2d-character-rig-animation --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 2D character rig animation Use this skill after the character design and approved model/reference sheets exist. Its job is to turn that design into a reusable performance system whose parts stay connected, poses remain on-model, facial states read clearly, and animation can be reproduced across shots and runtimes. The rig may be SVG, layered vector art, raster cutouts, a bone-and-mesh puppet, or
What does the 2d-character-rig-animation skill do?
Production guidance for reusable layered 2D character rigs in browser-rendered and video media. Use for SVG hierarchies, pivots and constraints, FK/IK planning, pose and facial libraries, acting, cycles, deterministic handoff, crop variants, and rig QA; not for character concept continuity, 3D armatures, or motion-capture solving.
How do I install it?
Run `npx skills add calesthio/generative-media-skills --skill 2d-character-rig-animation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From calesthio/generative-media-skills, a repository with 112 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.