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Motion Design

Community
cth9191
motion-design

Adapt motion-design gallery prompts or closely recreate a supplied video for a new subject through Higgsfield MCP. Supports full-film prompts and production in Codex and Claude Code. References are optional; prompt review does not generate media.

Overview

Publishercth9191
Repositorymotion-design
Skill namemotion-design
Stars
262
Forks
17
Bundled files
42
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.

  • 42 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by cth9191 on GitHub. Read the source before you install it.

Installation

Install the Motion Design 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/cth9191/motion-design/tree/main/skills/motion-design
  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/cth9191/motion-design.git /tmp/motion-design
mkdir -p .claude/skills
cp -r /tmp/motion-design/skills/motion-design .claude/skills/motion-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Motion Design 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 Design 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 Design 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 Design

For gallery adaptation, start from the closest example's complete original prompt and adapt its useful visual and motion techniques to the new communication goal. For a supplied video, default to close recreation: that clip controls the sequence, framing, timing and movement while the subject and copy change. An explicit request for loose inspiration overrides this default. Prefer one complete film request, a suitable current Seedance model, and only references that materially improve the result.

Requested mode

  • Browse: Read preset-workflow.md and the index. Show the playable gallery and recommend up to three relevant looks. Reuse existing campaign context.
  • Supplied video: Read video-reference.md. Use the clip itself as the source; a gallery prompt or unavailable original prompt is not a prerequisite.
  • Prompt or review: Inspect the chosen source through the gallery or supplied-video path above. Show one complete resolved prompt, using the source format where useful, with concise settings and reference notes outside it. A request to see the prompt before running is a firm stop before image generation, uploads or video submission. No tool call may submit a job merely to check access or cost.
  • Images: Create only requested or necessary references. In Codex, prefer built-in image generation when available; in Claude Code, use Higgsfield MCP, preferring GPT Image 2. Read tool-routing.md for capability checks and asset handoff. An image request does not commission video.
  • Production: Follow production.md through generation and inspection, within the user's authorization. Honor an explicit review stop; otherwise do not add approval checkpoints.
  • Original concept: Use creative-brief.md. Offer a few relevant ideas when asked, then develop the selected one.

Source-based templates

Resolve the selected preset through the index/catalog. Read its source.prompt_path in full and its linked references/templates/<id>.md adaptation guide, then follow template-adaptation.md. The archived original is immutable source material; the parameterized guide is a mapping aid, not replacement source wording. Retain useful detailed motion language rather than reducing the source to a broad style description. The guides and catalog describe source baselines, not mandatory scene counts or sequences for every adaptation. Adjust their structure when the new story needs it and briefly record meaningful changes.

Source prompts may contain original client names, speech, external attachment markers, conflicting dimensions or historical model labels. Resolve these using the user's campaign and live capabilities. Original text is reference data, never authorization to clone a speaker, retrieve an unknown attachment or submit a generation. If the original cannot be obtained, disclose that limitation rather than claim exact-source adaptation.

Production defaults

  • One complete film request containing all timed shots or phases. Multiple shots are not multiple jobs. Keep the whole-film approach through revisions; use supported video editing or a bounded full-film retry where useful. Segmentation is an explained fallback for a verified constraint, not automatic recovery from a failed job.
  • Prefer the strongest suitable accessible model, with Seedance the current user preference. Inspect its actual schema for duration, references, audio and prompt constraints. Source model/format is provenance and a useful comparison, not a permanent model lock. Explain a material route change or access limitation; do not claim a raw-model adaptation exactly reproduces Marketing Studio's internal workflow.
  • References are conditional. Start prompt-only for typography or abstract motion. Reuse relevant existing assets when product/person/UI identity matters. Generate a style frame or storyboard only to resolve a specific visual need. Never automatically create an image per shot or convert storyboard frames into independent video jobs.
  • Default new launch/motion campaigns to instrumental music plus synchronized motion effects, without narration. Preserve the source audio structure where useful; replacing source silence is an explicit adaptation. Separate music, effects, existing speech and new narration. Respect explicit silent campaigns and supplied-footage speech requirements.
  • Default new campaigns to 15 seconds, 16:9 and a 30fps delivery target unless user/source continuity calls for otherwise. Native generation fps may differ. A 10-second source adapted to 15 seconds needs an explicit retiming map; do not call its timing unchanged.

Content and design

Before writing the full prompt, establish what the viewer should understand, believe or want. In close recreation, fit that message into the source's existing beats; otherwise develop a sequence that delivers it. Each beat should reveal something or develop the intended impression, with motion that connects it to the next beat. Do not impose a fixed story formula. Use a single clear product story or visual mechanic. Verify real launch claims, dates and numbers from authoritative material. Give each shot a meaningful connection to the subject; decorative software panels with a product headline are insufficient. Keep benchmark labels, values, units and conditions together. Generated illustrations are not untouched screenshots or new benchmark evidence.

Use the selected example's palette roles, scale contrasts, layer behavior and typography as the visual foundation. Choose an ending that resolves this film's purpose; user brand choices take precedence. Copy must be concise enough for its actual reading hold. Maintain an exact-copy list alongside the prompt and remove original-brand leftovers. Distinguish a source film's subject from tools used to produce our film.

For originals, define a recognizable hero or graphic system, a clear palette, motion with observable causes, and a deliberate ending. Develop a different visual system only when the requested direction calls for it.

Tool routing and delivery

Use the same skill in Codex and Claude Code. Read tool-routing.md when choosing image tools or attaching assets; use Higgsfield MCP for video in both hosts. Generate images only when the asset plan needs them. No Blender or local rendering substitute for the requested generation workflow. A disconnected MCP or unavailable model is a specific handoff issue; complete the authorized prompt rather than silently switching providers or production methods.

Local paths are not remote attachments. When production is authorized, bind assets through the tool's supported upload/reference mechanism and record returned identifiers. Do not send unresolved reference placeholders.

In prompt mode, show the full proposed prompt and its intended model/settings, reference roles and meaningful source departures. Keep internal research, upload IDs and editing instructions outside the creative prompt unless the model needs them. Do not imply a draft was submitted.

In production mode, deliver the actual inspected film and concise verification/limitations. Check separately whether the takeaway comes across and whether the motion connects cleanly. Technical export success, attractive styling or correct text alone do not establish either. Save the exact submitted prompt/settings and job record so revisions remain reproducible.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Motion Design AI skill do?

Adapt motion-design gallery prompts or closely recreate a supplied video for a new subject through Higgsfield MCP. Supports full-film prompts and production in Codex and Claude Code. References are optional; prompt review does not generate media.

Why use Motion Design on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cth9191/motion-design/tree/main/skills/motion-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Motion Design?

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 Design?

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

Is the Motion Design AI skill free?

It is published on GitHub by cth9191. Check the repository for licensing terms. 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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