Agent skill

Vocabulary Video Pipeline

by dracohu2025-cloud in dracohu2025-cloud/draco-skills-collection

基于 Remotion 的词汇视频自动化生成 skill。输入一个英文单词，自动跑完诊断、TTS 音频、节奏分割、视频渲染、飞书上传和成本汇报。

Install Vocabulary Video Pipeline

skills CLI

$ npx skills add dracohu2025-cloud/draco-skills-collection --skill vocabulary-video-pipeline -a claude-code

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

GitHub CLI

$ gh skill install dracohu2025-cloud/draco-skills-collection vocabulary-video-pipeline --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/vocabulary-video-pipeline .claude/skills/vocabulary-video-pipeline && 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 "vocabulary-video-pipeline" agent skill from https://github.com/dracohu2025-cloud/draco-skills-collection/tree/main/vocabulary-video-pipeline into .claude/skills/vocabulary-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vocabulary-video-pipeline", 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/dracohu2025-cloud/draco-skills-collection/tree/main/vocabulary-video-pipeline

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 dracohu2025-cloud/draco-skills-collection --skill vocabulary-video-pipeline -a codex

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

GitHub CLI

$ gh skill install dracohu2025-cloud/draco-skills-collection vocabulary-video-pipeline --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/dracohu2025-cloud/draco-skills-collection.git skills-src && mkdir -p .agents/skills && cp -r skills-src/vocabulary-video-pipeline .agents/skills/vocabulary-video-pipeline && 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 "vocabulary-video-pipeline" agent skill from https://github.com/dracohu2025-cloud/draco-skills-collection/tree/main/vocabulary-video-pipeline into .agents/skills/vocabulary-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vocabulary-video-pipeline", 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 dracohu2025-cloud/draco-skills-collection --skill vocabulary-video-pipeline -a cursor

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

GitHub CLI

$ gh skill install dracohu2025-cloud/draco-skills-collection vocabulary-video-pipeline --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/dracohu2025-cloud/draco-skills-collection.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/vocabulary-video-pipeline .cursor/skills/vocabulary-video-pipeline && 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 "vocabulary-video-pipeline" agent skill from https://github.com/dracohu2025-cloud/draco-skills-collection/tree/main/vocabulary-video-pipeline into .cursor/skills/vocabulary-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vocabulary-video-pipeline", 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/dracohu2025-cloud/draco-skills-collection.git --path vocabulary-video-pipeline

--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 dracohu2025-cloud/draco-skills-collection --skill vocabulary-video-pipeline -a gemini-cli

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

GitHub CLI

$ gh skill install dracohu2025-cloud/draco-skills-collection vocabulary-video-pipeline --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/dracohu2025-cloud/draco-skills-collection.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/vocabulary-video-pipeline .gemini/skills/vocabulary-video-pipeline && 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 "vocabulary-video-pipeline" agent skill from https://github.com/dracohu2025-cloud/draco-skills-collection/tree/main/vocabulary-video-pipeline into .gemini/skills/vocabulary-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vocabulary-video-pipeline", 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 dracohu2025-cloud/draco-skills-collection vocabulary-video-pipeline

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 dracohu2025-cloud/draco-skills-collection --skill vocabulary-video-pipeline -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/dracohu2025-cloud/draco-skills-collection.git skills-src && mkdir -p .github/skills && cp -r skills-src/vocabulary-video-pipeline .github/skills/vocabulary-video-pipeline && 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 "vocabulary-video-pipeline" agent skill from https://github.com/dracohu2025-cloud/draco-skills-collection/tree/main/vocabulary-video-pipeline into .github/skills/vocabulary-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vocabulary-video-pipeline", 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 dracohu2025-cloud/draco-skills-collection --skill vocabulary-video-pipeline -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 dracohu2025-cloud/draco-skills-collection vocabulary-video-pipeline --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/dracohu2025-cloud/draco-skills-collection.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/vocabulary-video-pipeline .opencode/skills/vocabulary-video-pipeline && 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 "vocabulary-video-pipeline" agent skill from https://github.com/dracohu2025-cloud/draco-skills-collection/tree/main/vocabulary-video-pipeline into .opencode/skills/vocabulary-video-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vocabulary-video-pipeline", 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: vocabulary-video-pipeline
GitHub stars: 227
Token cost: ~958 tokens
SKILL.md length: 190 words
Files: 8 (incl. scripts, assets)
Skills in repo: 27
Repo updated: Sep 17, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

基于 Remotion 的词汇视频自动化生成 skill。输入一个英文单词，自动跑完诊断、TTS 音频、节奏分割、视频渲染、飞书上传和成本汇报。

Works in 3 steps: 每个单词必须包含 origin-chain → Director 校验是必经之门 → TTS 截断已自动防护
Tasks that involve Text to speech and voice
SKILL.md covers 使用场景, 工作流, 快速使用 and 目录结构, plus 4 more sections
Runs Python scripts from its folder; calls python3, pip and npm

What it does

Vocabulary Video Pipeline is an agent skill from dracohu2025-cloud/draco-skills-collection. 基于 Remotion 的词汇视频自动化生成 skill。输入一个英文单词，自动跑完诊断、TTS 音频、节奏分割、视频渲染、飞书上传和成本汇报。

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and assets (for example `README.md`, `scripts/director_validate.py` and `scripts/generate_audio_beats.py`).

It sits in Media & Creative, covering Text to speech and voice and Video production. It works with Remotion. The licence is MIT.

When your agent uses it

Tasks that involve Text to speech and voice
Tasks that involve Video production

Example prompts

“/vocabulary-video-pipeline”

Requirements

Python 3
Node.js

Workflow steps

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

每个单词必须包含 origin-chain
Director 校验是必经之门
TTS 截断已自动防护

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 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
- pip
- npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- github.com
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

Vocabulary Video Pipeline loads about 958 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 190 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~25
When it runs · the whole SKILL.md, loaded when a task matches: ~958

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:44

3. 已配置 `.env` 中的火山引擎 TTS 参数

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

The full file from dracohu2025-cloud/draco-skills-collection at commit 26e8975, republished under its MIT licence (© dracohu2025-cloud). 190 words, ~958 tokens.

Download SKILL.mdSave it as .claude/skills/vocabulary-video-pipeline/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.

name: vocabulary-video-pipeline
description: 基于 Remotion 的词汇视频自动化生成 skill。输入一个英文单词，自动跑完诊断、TTS 音频、节奏分割、视频渲染、飞书上传和成本汇报。
version: 1.0.0
author: Hermes Agent
license: MIT

vocabulary-video-pipeline

基于 Remotion 的词汇视频自动化生成流水线。输入一个英文单词，自动生成带中文讲解、TTS 音频和动态视觉效果的教育视频。

使用场景

生成面向中小学生的英文单词解释视频
需要一键从单词到视频的自动化流程
需要 TTS 音频与视觉动画节奏完美同步

工作流

输入单词
    ↓
diagnose → 推荐模板 + 生成草稿 JSON（强制包含 origin-chain）
    ↓
generate_audio_beats → TTS + 静音检测 + 节奏数据 + 尾部静音填充
    ↓
Director signoff → 校验 beats/视觉/音频匹配，不通过则阻断
    ↓
Remotion render → MP4
    ↓
Feishu upload + 成本报告

快速使用

前提

已克隆 vocabulary-video-pipeline 项目到本地
已安装 Node.js、npm、Python 3
已配置 .env 中的火山引擎 TTS 参数
已安装 lark-cli 并登录（用于飞书上传）
已安装 Python 依赖：pip install pydub

配置环境变量

bash

export VOCAB_VIDEO_PROJECT_ROOT=/path/to/vocabulary-video-pipeline

若不设置，脚本会自动搜索常见路径。

生成视频

bash

python3 scripts/generate_word_video.py --word breakfast

只生成草稿

bash

python3 scripts/generate_word_video.py --word breakfast --draft-only

只生成音频和节奏

bash

python3 scripts/generate_word_video.py --word breakfast --audio-only

跳过某些步骤

bash

python3 scripts/generate_word_video.py --word breakfast --skip-render --skip-upload

强制跳过 Director 校验（不推荐）

bash

python3 scripts/generate_word_video.py --word breakfast --skip-director

目录结构

vocabulary-video-pipeline/
  SKILL.md                          # 本文件
  README.md                         # 面向外部用户的说明
  scripts/
    generate_word_video.py          # 统一入口脚本（6步流程）
    director_validate.py            # Director 校验器
    generate_audio_beats.py         # TTS + 静音检测
    diagnose_word.py                # 模板诊断引擎
    tts_cost_report.py              # 成本统计
  assets/
    preview-*.jpg                   # 效果预览图

模板库

场景	类型	用途
`hero-word`	入题	展示单词、音标、标签
`origin-chain`	词源	展示词汇历史演变
`meaning-compare`	辨析	对比近义词
`full-screen-mood`	氛围	情绪化场景描述
`quote-page`	引用	英文名句 + 中文翻译
`answer-cards`	问答	三问答卡片
`ending-summary`	总结	公式 + 要点 + 结语

关键经验：草稿内容需要人工/LLM 填充

npm run diagnose:word 只会生成一个带有 props 和 beats 空壳的骨架 JSON。在执行 TTS 和渲染之前，必须填充以下内容：

每个 scene 的 props：标题、副标题、卡片文案、颜色等
每个 scene 的 beats：这是 TTS 的口播稿，必须是 流畅的叙事讲解，不是碎片化的要点列表

TTS 口播稿风格要求

不要念 PPT：不能是"第一点…第二点…"的生硬拼凑
必须是连贯的、有起承转合的叙事性讲解
视觉元素只是配合音频节奏出现的辅助，而不是被念出来的标签

强制约束

1. 每个单词必须包含 origin-chain

diagnose_word.py 会在任何策略下自动插入 origin-chain。如果某个单词的词源不明确，可以写它的派生历史或语义演变，不能空着。

2. Director 校验是必经之门

director_validate.py 在渲染之前执行，校验以下内容：

词源强制：检查是否包含 origin-chain
beats 数量：按场景类型验证 beats 数量是否匹配（如 ending-summary = points + 2）
关键词匹配：检查 beats 文案中是否包含对应的 point/card/node 关键词
音频时长：确保每个 scene 的音频时长 ≥ lastBeat.endFrame + 40帧
防止词源重复：若已存在 origin-chain，ending-summary 的 beats 中禁止再出现"拉丁语""源自古英语""词根""演变"等词源关键词（避免叙事断裂）

未通过 Director signoff 的 draft，pipeline 会被强制中断，不会进入渲染。

3. TTS 截断已自动防护

generate_audio_beats.py 会自动给每个 scene 的 MP3 追加静音尾部，player.tsx 与 Root.tsx 的时长计算也已统一为 lastBeat.endFrame + 40。所以只要草稿正确，不需要手动调整就能避免截断。

已知陷阱

TTS 语言必须是 `zh-CN`

火山引擎 Seed-TTS 2.0 在不指定 language 时，可能会默认输出繁体中文发音（如把"吗"读成"嗎"、"话"读成"話"）。

修复方式：在调用火山 TTS API 的 audio 参数中显式指定：

json

{
  "audio": {
    "voice_type": "...",
    "language": "zh-CN"
  }
}

已在 generate_audio_beats.py 中固定此参数。如果未来换用其他 TTS 服务，也需要确认有类似的 Simplified Chinese 锁定机制。

Files

SKILL.md and 7 other files (scripts, assets) in vocabulary-video-pipeline of dracohu2025-cloud/draco-skills-collection.

SKILL.md
README.md
assets/preview-breakfast.jpg
assets/preview-lemonade.jpg
assets/preview-tariff.jpg
scripts/director_validate.py
scripts/generate_audio_beats.py
scripts/generate_word_video.py

Open the folder on GitHubat commit 26e8975

Compare with similar skills

Vocabulary Video Pipeline 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.

Vocabulary Video Pipeline compared with similar skills
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Ergo Remotion Videoitwanger/toBeBetterJavaer	18k	—	~1.1k	Automated safety check: Pass	None	yesterday
Remotion Topic ExplainerCuongyd196/remotion-cuongit-template	171	—	~2.2k	Automated safety check: Notes	None	1 mo ago
Remotion Topic ExplainerCuongyd196/remotion-cuongit-template	171	—	~1.4k	Automated safety check: Notes	None	1 mo ago
Transition BoardGTKottman/mortiflix-oss	499	—	~2.2k	Automated safety check: Pass	AGPL-3.0	2 days ago
Make Tsxhassancs91/claude-youtube-editor	328	—	~1.9k	Automated safety check: Notes	MIT	1 mo ago

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Works with

Remotion

Questions about Vocabulary Video Pipeline

What does Vocabulary Video Pipeline do?

基于 Remotion 的词汇视频自动化生成 skill。输入一个英文单词，自动跑完诊断、TTS 音频、节奏分割、视频渲染、飞书上传和成本汇报。. Vocabulary Video Pipeline is an agent skill from dracohu2025-cloud/draco-skills-collection.

When should I use Vocabulary Video Pipeline?

Vocabulary Video Pipeline fits situations like: tasks that involve Text to speech and voice; tasks that involve Video production.

How do I install Vocabulary Video Pipeline in Claude Code?

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

How do I install Vocabulary Video Pipeline in Codex?

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

Can I use Vocabulary Video Pipeline 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 vocabulary-video-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vocabulary-video-pipeline, .gemini/skills/vocabulary-video-pipeline, .github/skills/vocabulary-video-pipeline and .opencode/skills/vocabulary-video-pipeline in your project.

What does Vocabulary Video Pipeline need to run?

Going by SKILL.md and its folder, Vocabulary Video Pipeline needs Python for the scripts in its folder and the command-line tools its instructions call (python3, pip and npm). Our summary lists: Python 3; Node.js.

Does Vocabulary Video Pipeline access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Vocabulary Video Pipeline safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Vocabulary Video Pipeline use?

Vocabulary Video Pipeline is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vocabulary Video Pipeline use?

About 958 tokens (SKILL.md is roughly 3.8k 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 Vocabulary Video Pipeline?

Skills that share tags, products or a category with Vocabulary Video Pipeline: Ergo Remotion Video (itwanger/toBeBetterJavaer, 18k stars), Remotion Topic Explainer (Cuongyd196/remotion-cuongit-template, 171 stars), Remotion Topic Explainer (Cuongyd196/remotion-cuongit-template, 171 stars) and Transition Board (GTKottman/mortiflix-oss, 499 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vocabulary Video Pipeline?

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.

Install Vocabulary Video Pipeline

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

vocabulary-video-pipeline

使用场景

工作流

快速使用

前提

配置环境变量

生成视频

只生成草稿

只生成音频和节奏

跳过某些步骤

强制跳过 Director 校验（不推荐）

目录结构

模板库

关键经验：草稿内容需要人工/LLM 填充

推荐实际步骤

TTS 口播稿风格要求

强制约束

1. 每个单词必须包含 origin-chain

2. Director 校验是必经之门

3. TTS 截断已自动防护

已知陷阱

TTS 语言必须是 zh-CN

Files

Compare with similar skills

Similar skills

More from dracohu2025-cloud/draco-skills-collection

Related

Questions about Vocabulary Video Pipeline

TTS 语言必须是 `zh-CN`