End-to-end production pipeline for Manim mathematical explainer videos with Volcengine TTS narration.

No licenceAuto-check passedMedia & Creative

Install Manim Video With Tts

skills CLI
$ npx skills add dracohu2025-cloud/draco-skills-collection --skill manim-video-with-tts -a claude-code

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

GitHub CLI
$ gh skill install dracohu2025-cloud/draco-skills-collection manim-video-with-tts --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/dracohu2025-cloud/draco-skills-collection.git skills-src && mkdir -p .claude/skills && cp -r skills-src/manim-video-with-tts .claude/skills/manim-video-with-tts && 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/

Facts

Skill name
manim-video-with-tts
GitHub stars
227
Token cost
~3.7k tokens
SKILL.md length
1,284 words
Files
6 (incl. scripts)
Skills in repo
27
Repo updated
First seen
Licence
None found

At a glance

End-to-end production pipeline for Manim mathematical explainer videos with Volcengine TTS narration.

  • Works in 7 steps: Plan → Generate TTS & Measure Durations → Write Manim Code → …
  • Users want: Manim animation + Chinese voiceover
  • SKILL.md covers Trigger Conditions, Pipeline Overview, Prerequisites and Step 1: Plan, plus 10 more sections
  • Runs Python scripts from its folder; calls ffmpeg and ffprobe; reaches hermes.aigc.green; needs VOLCENGINE_TTS_ACCESS_TOKEN

What it does

Manim Video With Tts is an agent skill from dracohu2025-cloud/draco-skills-collection. End-to-end production pipeline for Manim mathematical explainer videos with Volcengine TTS narration. Plan → TTS → Code → Render → Stitch → Deliver. Use when users want: Manim animation + Chinese voiceover, math concept video with synchronized narration, 3Blue1Brown-style explainer with TTS, or any programmatic animation requiring precise audio-visual sync.

Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `README.md`, `scripts/stitch_mux.py` and `scripts/tts_measure.py`).

It sits in Media & Creative, covering Text to speech and voice. It works with Manim, Feishu (Lark) and FFmpeg.

When your agent uses it

  • Users want: Manim animation + Chinese voiceover
  • Math concept video with synchronized narration
  • 3Blue1Brown-style explainer with TTS
  • Any programmatic animation requiring precise audio-visual sync

Example prompts

  • “/manim-video-with-tts”

Requirements

  • Python 3
  • A credential in VOLCENGINE_TTS_ACCESS_TOKEN

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Plan
  2. Generate TTS & Measure Durations
  3. Write Manim Code
  4. Draft Render
  5. Production Render
  6. Stitch & Mux
  7. Deliver

What it can do on your machine

Read from SKILL.md and the folder at commit 26e8975. 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 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • ffmpeg
    • ffprobe

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • hermes.aigc.green

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • VOLCENGINE_TTS_ACCESS_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Manim Video With Tts loads about 3.7k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 1,284 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 1,284 words (~3,748 tokens).

“Use this skill when the user requests:”

— opening of SKILL.md by dracohu2025-cloud
name
manim-video-with-tts
version
1.0.0

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts) in manim-video-with-tts of dracohu2025-cloud/draco-skills-collection.

  • SKILL.md
  • README.md
  • scripts/stitch_mux.py
  • scripts/tts_measure.py
  • templates/plan.md
  • templates/script.py

Open the folder on GitHubat commit 26e8975

Compare with similar skills

Manim Video With Tts 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 With Tts compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Manim Video With Tts this skilldracohu2025-cloud/draco-skills-collection227—~3.7kAutomated safety check: PassNone
Qiaomu Cutjoeseesun/qiaomu-cut-skill372—~6.8kAutomated safety check: NotesMIT
ShowtimeFavioVazquez/showtime220—~3kAutomated safety check: PassMIT
Media ProductionWrongStack/WrongStack371—~1kAutomated safety check: PassMIT
Orchardcore Video ProducerOrchardCMS/OrchardCore8.2k—~2kAutomated safety check: PassBSD-3-Clause
Vox DirectorAlisa0808/vox-director2.2k—~5.6kAutomated safety check: PassMIT

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Questions about Manim Video With Tts

What does Manim Video With Tts do?

End-to-end production pipeline for Manim mathematical explainer videos with Volcengine TTS narration. Manim Video With Tts is an agent skill from dracohu2025-cloud/draco-skills-collection. End-to-end production pipeline for Manim mathematical explainer videos with Volcengine TTS narration.

When should I use Manim Video With Tts?

Manim Video With Tts fits situations like: users want: Manim animation + Chinese voiceover; math concept video with synchronized narration; 3Blue1Brown-style explainer with TTS; any programmatic animation requiring precise audio-visual sync.

How do I install Manim Video With Tts in Claude Code?

Run `npx skills add dracohu2025-cloud/draco-skills-collection --skill manim-video-with-tts -a claude-code`. Or copy the skill folder (manim-video-with-tts in dracohu2025-cloud/draco-skills-collection) into .claude/skills/manim-video-with-tts in your project. Claude Code loads it when a task matches its description.

How do I install Manim Video With Tts in Codex?

Run `npx skills add dracohu2025-cloud/draco-skills-collection --skill manim-video-with-tts -a codex`. Or copy the skill folder (manim-video-with-tts in dracohu2025-cloud/draco-skills-collection) into .agents/skills/manim-video-with-tts in your project. Codex loads it when a task matches its description.

Can I use Manim Video With Tts 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 dracohu2025-cloud/draco-skills-collection --skill manim-video-with-tts -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-with-tts, .gemini/skills/manim-video-with-tts, .github/skills/manim-video-with-tts and .opencode/skills/manim-video-with-tts in your project.

What does Manim Video With Tts need to run?

Going by SKILL.md and its folder, Manim Video With Tts needs Python for the scripts in its folder, the command-line tools its instructions call (ffmpeg and ffprobe) and credentials named VOLCENGINE_TTS_ACCESS_TOKEN. Our summary lists: Python 3; A credential in VOLCENGINE_TTS_ACCESS_TOKEN.

Does Manim Video With Tts access the network?

SKILL.md names 1 domain. In commands or code: hermes.aigc.green; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Manim Video With Tts 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Manim Video With Tts use?

No licence was found for Manim Video With Tts or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Manim Video With Tts use?

About 3.7k tokens (SKILL.md is roughly 15k 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 With Tts?

Skills that share tags, products or a category with Manim Video With Tts: Qiaomu Cut (joeseesun/qiaomu-cut-skill, 372 stars), Showtime (FavioVazquez/showtime, 220 stars), Media Production (WrongStack/WrongStack, 371 stars) and Orchardcore Video Producer (OrchardCMS/OrchardCore, 8.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Manim Video With Tts?

dracohu2025-cloud (a GitHub user) maintains it in dracohu2025-cloud/draco-skills-collection, which has 227 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on September 17, 2026.

Source: dracohu2025-cloud/draco-skills-collection on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.