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Motion Reference Workflow

Community
witnesstodark
motion-reference-workflow

Prepare and select character motion references, or transfer approved motion to a human reference for a later mocap workflow.

Overview

Publisherwitnesstodark
Repositorymr-mak-workspace
Skill namemotion-reference-workflow
Stars
545
Forks
183
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 witnesstodark on GitHub. Read the source before you install it.

Installation

Install the Motion Reference Workflow 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/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/motion-reference-workflow
  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/witnesstodark/mr-mak-workspace.git /tmp/mr-mak-workspace
mkdir -p .claude/skills
cp -r /tmp/mr-mak-workspace/.agents/skills/motion-reference-workflow .claude/skills/motion-reference-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Motion Reference Workflow 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 Motion Reference Workflow 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 Motion Reference Workflow 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.

Motion references

Resolve whether the user needs a character reference video for authored animation or human footage for a later mocap tool. The camera follows that purpose. Character-first and human-first are both valid; preserve the user's chosen route.

Establish the opening pose, action, contact point, recovery, duration and camera. Use the approved character identity. Before a new video, verify its first-frame pose instead of relying on a model to invent the correct start. Keep framing stable enough to read the relevant limbs and contacts.

Choose the provider/model from the user's selection or current discovery. Use the fal or Higgsfield module for execution and recovery. The number of candidates comes from the task; do not impose a costly fixed batch.

Review support changes, strike readability, foot contact, impossible joints, interpenetration, unwanted camera motion and loop seams. Keep candidate names and decisions stable. Preserve longer source motion when creating a shorter gameplay variant, and record event times in seconds as well as frames.

For an appearance transfer, use the accepted video as motion authority and the approved human/reference image for appearance. Preserve camera and timing; do not recreate the action from text. Check the transferred limbs and contacts. Generated human-looking footage is not itself captured skeleton data. A later mocap extraction and its quality checks remain separate work.

Keep a small take ledger: source, prompt or edit intent, provider/model, local result, observed problems and decision. Distinguish generated, reviewed, selected and approved. Carry the selected take's identity into the animation handoff. For a creature-to-human transfer, verify which limb represents each contact and reject anatomy changes that destroy the original action. Preserve the original and any timed trim; do not replace a motion reference with a new performance merely because its appearance is cleaner.

Example: a two-second robot walk loop with fixed camera and readable foot contacts. A successful clip must loop cleanly and retain the approved robot; remote completion alone does not establish those properties.

Frequently asked questions

What does the Motion Reference Workflow AI skill do?

Prepare and select character motion references, or transfer approved motion to a human reference for a later mocap workflow.

Why use Motion Reference Workflow on TypingMind?

Because you install it once and use it with any model. Motion Reference Workflow 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 Motion Reference Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/witnesstodark/mr-mak-workspace/tree/main/.agents/skills/motion-reference-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Motion Reference Workflow?

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 Motion Reference Workflow?

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

Is the Motion Reference Workflow AI skill free?

Yes. It is published on GitHub by witnesstodark 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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