关于
The transcript skill extracts and processes spoken content from YouTube videos via an external API. It handles tasks like summarization, transcription, translation, and fact-checking when a video link or ID is provided. Developers need to set a `TRANSCRIPT_API_KEY` environment variable for the skill to function.
快速安装
Claude Code
推荐npx skills add ZeroPointRepo/youtube-skills -a claude-code/plugin add https://github.com/ZeroPointRepo/youtube-skillsgit clone https://github.com/ZeroPointRepo/youtube-skills.git ~/.claude/skills/transcript在 Claude Code 中复制并粘贴此命令以安装该技能
技能文档
Transcript
Fetch video transcripts via TranscriptAPI.com.
Setup
If $TRANSCRIPT_API_KEY is not set, read references/auth-setup.md and follow the instructions there to get and store the key.
Required Headers
Every request needs two headers:
- Authorization:
Bearer $TRANSCRIPT_API_KEY - User-Agent: your agent's name and version if known (e.g.
HermesAgent/0.11.0,ClaudeCode/1.0). Version is optional — agent name alone is fine. Do not omit this header or send a bare default — Cloudflare will return a 403 (error code 1010) and block the request.
GET /api/v2/youtube/transcript
curl -s "https://transcriptapi.com/api/v2/youtube/transcript\
?video_url=VIDEO_URL&format=text&include_timestamp=true&send_metadata=true" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
| Param | Required | Default | Values |
|---|---|---|---|
video_url | yes | — | YouTube URL or 11-char video ID |
format | no | json | json, text |
include_timestamp | no | true | true, false |
send_metadata | no | false | true, false |
Accepts: full URLs (youtube.com/watch?v=ID), short URLs (youtu.be/ID), shorts (youtube.com/shorts/ID), or bare video IDs.
Default: Always use format=text&include_timestamp=true&send_metadata=true unless user specifies otherwise.
Response (format=json):
{
"video_id": "dQw4w9WgXcQ",
"language": "en",
"transcript": [
{ "text": "We're no strangers to love", "start": 18.0, "duration": 3.5 },
{ "text": "You know the rules and so do I", "start": 21.5, "duration": 2.8 }
],
"metadata": {
"title": "Rick Astley - Never Gonna Give You Up",
"author_name": "Rick Astley",
"author_url": "https://www.youtube.com/@RickAstley",
"thumbnail_url": "https://i.ytimg.com/vi/dQw4w9WgXcQ/maxresdefault.jpg"
}
}
Response (format=text):
{
"video_id": "dQw4w9WgXcQ",
"language": "en",
"transcript": "[00:00:18] We're no strangers to love\n[00:00:21] You know the rules...",
"metadata": {...}
}
Errors
| Code | Meaning | Action |
|---|---|---|
| 401 | Bad API key | Check key or re-setup |
| 402 | No credits | Top up at transcriptapi.com/billing |
| 403/1010 | Cloudflare block | Add or fix User-Agent header |
| 404 | No transcript | Video may not have captions enabled |
| 408 | Timeout | Retry once after 2s |
| 429 | Rate limited | Wait and retry |
Tips
- For long videos, summarize key points first, offer full transcript on request.
- Use
format=jsonwhen you need precise timestamps for quoting specific moments. - Use
include_timestamp=falsefor clean text suitable for translation or analysis. - 1 credit per successful request. Errors don't cost credits.
- Free tier: 100 credits, 300 req/min.
GitHub 仓库
常见问题
什么是 transcript Skill?
transcript 是一个 Claude Skill,作者为 ZeroPointRepo。Skill 将 Claude 按需加载的说明和资源打包,让 Claude 无需额外提示即可执行与 transcript 相关的任务。
如何安装 transcript?
使用本页的安装命令:将 transcript 作为插件添加到 Claude Code,或将其仓库克隆到 skills 目录,然后重启 Claude 以加载该 Skill。
transcript 属于哪个分类?
transcript 属于其他分类。
transcript 可以免费使用吗?
可以。transcript 已收录在 AIMCP,可免费安装。
相关推荐技能
LlamaGuard是Meta推出的7-8B参数内容审核模型,专门用于过滤LLM的输入和输出内容。它能检测六大安全风险类别(暴力/仇恨、性内容、武器、违禁品、自残、犯罪计划),准确率达94-95%。开发者可通过HuggingFace、vLLM或Sagemaker快速部署,并能与NeMo Guardrails集成实现自动化安全防护。
这个Claude Skill帮助开发者优化云成本,通过资源调整、标记策略和预留实例来降低AWS、Azure和GCP的开支。它适用于减少云支出、分析基础设施成本或实施成本治理策略的场景。关键功能包括提供成本可视化、资源规模调整指导和定价模型优化建议。
该Skill为开发者提供体育博彩数据分析工具,可分析盘口、大小球和特殊投注,识别价值投注机会。它整合历史数据和情景统计,生成包含时间戳的结构化Markdown报告。适用于需要快速获取博彩市场洞察的娱乐或教育类应用开发。
这个Skill使用bitsandbytes库量化大语言模型,能在GPU内存有限时通过8位或4位量化减少50-75%内存占用,同时保持精度损失最小。它支持INT8、NF4、FP4等多种量化格式,可与HuggingFace Transformers无缝集成,适用于需要部署更大模型或加速推理的场景。还提供QLoRA训练和8位优化器支持,让开发者能轻松实现高效模型压缩。
