Agent skill

Manim Video

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed.

MITAuto-check passedMedia & Creative

Install Manim Video

skills CLI

$ npx skills add affaan-m/ECC --skill manim-video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC manim-video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/manim-video .claude/skills/manim-video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "manim-video" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/manim-video into .claude/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manim-video", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/affaan-m/ECC/tree/main/skills/manim-video

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add affaan-m/ECC --skill manim-video -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC manim-video --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/manim-video .agents/skills/manim-video && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "manim-video" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/manim-video into .agents/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manim-video", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add affaan-m/ECC --skill manim-video -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC manim-video --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/manim-video .cursor/skills/manim-video && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "manim-video" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/manim-video into .cursor/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manim-video", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/affaan-m/ECC.git --path skills/manim-video

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add affaan-m/ECC --skill manim-video -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC manim-video --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/manim-video .gemini/skills/manim-video && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "manim-video" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/manim-video into .gemini/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manim-video", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install affaan-m/ECC manim-video

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add affaan-m/ECC --skill manim-video -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/manim-video .github/skills/manim-video && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "manim-video" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/manim-video into .github/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manim-video", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add affaan-m/ECC --skill manim-video -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install affaan-m/ECC manim-video --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/manim-video .opencode/skills/manim-video && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "manim-video" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/manim-video into .opencode/skills/manim-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "manim-video", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: manim-video
GitHub stars: 277k
Used in: 1 other repo
Token cost: ~727 tokens
SKILL.md length: 347 words
Files: 2 (incl. assets)
Skills in repo: 683
Repo updated: Oct 11, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed.

Works in 7 steps: Define the core visual thesis in one… → Break the concept into 3 to 6 scenes. → Decide what each scene proves. → …
The user wants a clean animated explainer rather than a generic talking-head script
SKILL.md covers When to Activate, Tool Requirements, Default Output and Workflow, plus 6 more sections
Runs Python scripts from its folder

What it does

Manim Video is an agent skill from affaan-m/ECC. Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including assets (for example `assets/network_graph_scene.py`).

It sits in Media & Creative, covering Diagrams and Motion graphics. It works with Manim. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

When your agent uses it

The user wants a clean animated explainer rather than a generic talking-head script
Tasks that involve Diagrams
Tasks that involve Motion graphics

Example prompts

“/manim-video”

Requirements

Python 3

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

Define the core visual thesis in one sentence.
Break the concept into 3 to 6 scenes.
Decide what each scene proves.
Write the scene outline before writing Manim code.
Render the smallest working version first.
Tighten typography, spacing, color, and pacing after the render works.
Hand off to the wider video stack only if it adds value.

What it can do on your machine

Read from SKILL.md and the folder at commit 2d515e4. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Manim Video loads about 727 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 347 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~67
When it runs · the whole SKILL.md, loaded when a task matches: ~727

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 347 words, ~727 tokens.

Download SKILL.mdSave it as .claude/skills/manim-video/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: manim-video
description: Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.
metadata.origin: ECC

Manim Video

Use Manim for technical explainers where motion, structure, and clarity matter more than photorealism.

When to Activate

the user wants a technical explainer animation
the concept is a graph, workflow, architecture, metric progression, or system diagram
the user wants a short product or launch explainer for X or a landing page
the visual should feel precise instead of generically cinematic

Tool Requirements

manim CLI for scene rendering
ffmpeg for post-processing if needed
video-editing for final assembly or polish
remotion-video-creation when the final package needs composited UI, captions, or additional motion layers

Default Output

short 16:9 MP4
one thumbnail or poster frame
storyboard plus scene plan

Workflow

Define the core visual thesis in one sentence.
Break the concept into 3 to 6 scenes.
Decide what each scene proves.
Write the scene outline before writing Manim code.
Render the smallest working version first.
Tighten typography, spacing, color, and pacing after the render works.
Hand off to the wider video stack only if it adds value.

Scene Planning Rules

each scene should prove one thing
avoid overstuffed diagrams
prefer progressive reveal over full-screen clutter
use motion to explain state change, not just to keep the screen busy
title cards should be short and loaded with meaning

Network Graph Default

For social-graph and network-optimization explainers:

show the current graph before showing the optimized graph
distinguish low-signal follow clutter from high-signal bridges
highlight warm-path nodes and target clusters
if useful, add a final scene showing the self-improvement lineage that informed the skill

Render Conventions

default to 16:9 landscape unless the user asks for vertical
start with a low-quality smoke test render
only push to higher quality after composition and timing are stable
export one clean thumbnail frame that reads at social size

Reusable Starter

Use assets/network_graph_scene.py as a starting point for network-graph explainers.

Example smoke test:

bash

manim -ql assets/network_graph_scene.py NetworkGraphExplainer

Output Format

Return:

core visual thesis
storyboard
scene outline
render plan
any follow-on polish recommendations

video-editing for final polish
remotion-video-creation for motion-heavy post-processing or compositing
content-engine when the animation is part of a broader launch

Files

SKILL.md and 1 other file (assets) in skills/manim-video of affaan-m/ECC.

SKILL.md
assets/network_graph_scene.py

Open the folder on GitHubat commit 2d515e4

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 9, 2026.

hashgraph-online/awesome-codex-pluginsplugins/Colin4k1024/tsp/skills/manim-video

Compare with similar skills

Manim Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Manim Video compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Manim Video this skillaffaan-m/ECC	277k	1 repos	~727	Automated safety check: Pass	MIT	today
Motion Canvas VideoWrongStack/WrongStack	371	—	~957	Automated safety check: Pass	MIT	yesterday
Tesseract Motionmirage-hq/Tesseract	130	—	~1.1k	Automated safety check: Pass	Custom licence	9 days ago
Manim VideoHybridAIOne/hybridclaw	159	—	~4.7k	Automated safety check: Notes	MIT	today
Manim Video Productionbrowser-use/video-use	29k	6 repos	~3k	Automated safety check: Pass	MIT	2 days ago
Qiaomu Cutjoeseesun/qiaomu-cut-skill	372	—	~6.8k	Automated safety check: Notes	MIT	13 days ago

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Questions about Manim Video

What does Manim Video do?

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Manim Video is an agent skill from affaan-m/ECC. Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed.

When should I use Manim Video?

Manim Video fits situations like: the user wants a clean animated explainer rather than a generic talking-head script; tasks that involve Diagrams; tasks that involve Motion graphics.

How do I install Manim Video in Claude Code?

Run `npx skills add affaan-m/ECC --skill manim-video -a claude-code`. Or copy the skill folder (skills/manim-video in affaan-m/ECC) into .claude/skills/manim-video in your project. Claude Code loads it when a task matches its description.

How do I install Manim Video in Codex?

Run `npx skills add affaan-m/ECC --skill manim-video -a codex`. Or copy the skill folder (skills/manim-video in affaan-m/ECC) into .agents/skills/manim-video in your project. Codex loads it when a task matches its description.

Can I use Manim Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill manim-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/manim-video, .gemini/skills/manim-video, .github/skills/manim-video and .opencode/skills/manim-video in your project.

What does Manim Video need to run?

Going by SKILL.md and its folder, Manim Video needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Manim Video access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Manim Video safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Manim Video use?

Manim Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Manim Video use?

About 727 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Manim Video?

Skills that share tags, products or a category with Manim Video: Motion Canvas Video (WrongStack/WrongStack, 371 stars), Tesseract Motion (mirage-hq/Tesseract, 130 stars), Manim Video (HybridAIOne/hybridclaw, 159 stars) and Manim Video Production (browser-use/video-use, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Manim Video?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Manim Video

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Manim Video

When to Activate

Tool Requirements

Default Output

Workflow

Scene Planning Rules

Network Graph Default

Render Conventions

Reusable Starter

Output Format

Related Skills

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from affaan-m/ECC

Related

Questions about Manim Video