Motion Graphic Placement logo

Motion Graphic Placement

CommunityPopular
0xsline
motion-graphic-placement

Add motion graphics at the right moments without blocking the story. Use when the user wants to enhance talking-head, lecture, tutorial, interview, podcast, or creator videos with motion graphics.

Overview

Publisher0xsline
RepositoryOpenChatCut
Skill namemotion-graphic-placement
Stars
1.9K
Forks
277
Bundled files
Instructions only
LicenseAGPL-3.0
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 0xsline on GitHub. Read the source before you install it.

Installation

Install the Motion Graphic Placement 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.
  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/0xsline/OpenChatCut.git /tmp/OpenChatCut
mkdir -p .claude/skills
cp -r /tmp/OpenChatCut/src/agent/skills/motion-graphic-placement .claude/skills/motion-graphic-placement
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Motion Graphic Placement 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 Graphic Placement 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 Graphic Placement 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 Graphic Placement

Use this skill to plan where motion graphics should appear, what type each one should be, and how to keep them readable, rhythmic, and consistent with the video.

Goals

  • Reinforce important speech moments without covering the speaker or subtitles.
  • Match MG type to the semantic function of the line.
  • Keep density high enough for retention but sparse enough to avoid fatigue.
  • Maintain one visual language across the whole edit.

Workflow

  1. Read project state, transcript, active design style, video aspect ratio, and visible speaker layout.
  2. Identify the video structure:
    • hook
    • problem or setup
    • body / proof / steps
    • summary / CTA
  3. Decide motion-graphic density:
    • long-form landscape: usually one meaningful MG every 5-8 seconds, tighter in the first 15 seconds
    • short-form portrait: usually one meaningful MG every 3-5 seconds, with stronger rhythm
    • reduce density when the speaker's face, gesture, or screen recording already carries the moment
  4. Pick MG types from semantic triggers.
  5. Review the plan before generation:
    • no repeated form in a row unless intentionally templated
    • no overlays on face, hands, product focal point, or subtitle area
    • no unnecessary full-screen takeover when a card, strip, badge, or annotation is enough
  6. Generate or reuse MGs.
  7. Place each MG against the relevant transcript moment.
  8. Verify screenshots at target frames and fix anything that blocks content, feels mistimed, or carries template residue.

Semantic Triggers

Speech patternGood MG direction
strong opinion, conclusion, key quotehighlight sentence or quote card
numbers, percentages, pricesnumber card, counter, chart, price card
steps, lists, sequencepoint list, flow steps, timeline
comparison or choicecomparison card, split card, VS card
warning or mistakewarning card or caution badge
question, suspense, hookquestion card, hook text
self-intro, guest, rolename tag or lower-third
source, screenshot, comment, evidencesource card or annotation
CTACTA card

Placement Rules

  • Always inspect the frame before placing an overlay.
  • Place MGs away from the speaker's face, hands, active product area, and subtitles.
  • Landscape: side cards work well when the speaker is clearly on the opposite side; bottom strips must sit above subtitles.
  • Portrait: keep the bottom 15-20% clear for captions and interaction UI.
  • Full-screen MGs should be reserved for hooks, chapter transitions, dense data, or moments where the original footage adds little value.
  • After a full-screen MG, leave enough breathing room before the next overlay.

Style And Reuse

  • Use the active Design Style when the project has one.
  • Same-role MGs should reuse a confirmed template or code structure and change only the content.
  • New-role MGs can borrow style, but should not inherit irrelevant template text, charts, labels, or layout.
  • After generation, inspect the visual output. If old template text or wrong structure appears, fix the asset instead of trusting props.

Quality Checks

  • Every MG has a reason tied to a speech beat.
  • Text can be read at playback size.
  • Adjacent MGs vary in form, position, or rhythm.
  • No face/subtitle/product obstruction.
  • Visual style is consistent but not repetitive.
  • The final edit feels clearer, not busier.

Frequently asked questions

What does the Motion Graphic Placement AI skill do?

Add motion graphics at the right moments without blocking the story. Use when the user wants to enhance talking-head, lecture, tutorial, interview, podcast, or creator videos with motion graphics.

Why use Motion Graphic Placement on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/0xsline/OpenChatCut/tree/main/src/agent/skills/motion-graphic-placement. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Motion Graphic Placement?

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 Graphic Placement?

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

Is the Motion Graphic Placement AI skill free?

Yes. It is published on GitHub by 0xsline under the AGPL-3.0 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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