Rig logo

Rig

Organization
with-pebbly
rig

Split a character onto named layers — head, torso, arms, legs — so it can be animated by moving cels instead of redrawing pixels. Use before animating anything, or when limbs are baked into one layer.

Overview

Publisherwith-pebbly
Repositoryaseprite-ai-artist
Skill namerig
Stars
456
Forks
28
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by with-pebbly on GitHub. Read the source before you install it.

Installation

Install the Rig AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/with-pebbly/aseprite-ai-artist/tree/main/skills/rig
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/with-pebbly/aseprite-ai-artist.git /tmp/aseprite-ai-artist
mkdir -p .claude/skills
cp -r /tmp/aseprite-ai-artist/skills/rig .claude/skills/rig
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rig in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rig on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rig is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Rig a character for animation

Pixels baked into a single layer cannot be animated without redrawing them. Rig first; separating a finished sprite later is more work than building it split.

The standard rig

Bottom to top, so nearer parts draw over farther ones:

arm-near     ← camera-side arm
leg-near
head
torso
arm-far      ← partly hidden by the torso; this is what sells depth
leg-far
shadow       ← ground contact, if the style has one

Add weapon, cape, hair-front, hair-back as the design needs. Keep names stable — every later call refers to them by name.

Two limbs with the same name — arm-near inside two different groups, say — make later calls ambiguous: passing just the name fails, naming every match, until you pass a group/child path (e.g. torso/arm-near) instead.

Building it fresh

One batch, one undo step:

layer batch=[
  {op:"create", name:"shadow"},
  {op:"create", name:"leg-far"},
  {op:"create", name:"arm-far"},
  {op:"create", name:"torso"},
  {op:"create", name:"head"},
  {op:"create", name:"leg-near"},
  {op:"create", name:"arm-near"},
]

Then draw each part on its own layer from the start.

Splitting an existing sprite

When the art is already baked into one layer:

  1. sprite_info to see what you have, and look op="ascii" to find exact part boundaries. Guessing at coordinates here is how limbs get clipped.
  2. Create the rig layers (above).
  3. For each part, in one draw call per target layer:
    draw layer="head" ops=[{ kind:"blit", from:{x:12,y:4,width:8,height:8}, to:{x:12,y:4} }]
    blit copies from the source layer; skipTransparent keeps the copy clean.
  4. Clear the copied region from the original layer, or rename the original to flat-original and hide it. Prefer hiding — if a boundary was wrong you want the original still there.
  5. look op="preview" with the original hidden. The sprite should look unchanged. If a limb lost pixels, the boundary was wrong.

Overlap matters

A limb needs a pixel or two of overlap with the torso, or a gap appears the moment it rotates. Copy generously and let the stacking order hide the excess.

Then

aseprite:animate.

Related

rules://06-layers-and-rigging, rules://03-silhouette-and-form, rules://31-anatomy-and-pose for where the joints really are.

Frequently asked questions

What does the Rig AI skill do?

Split a character onto named layers — head, torso, arms, legs — so it can be animated by moving cels instead of redrawing pixels. Use before animating anything, or when limbs are baked into one layer.

Why use Rig on TypingMind?

Because you install it once and use it with any model. Rig is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rig in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/with-pebbly/aseprite-ai-artist/tree/main/skills/rig. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rig?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rig?

As many as you like. As long as a model supports skills, you can use Rig with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rig AI skill free?

Yes. It is published on GitHub by with-pebbly under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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