youtube-data
About
This skill fetches structured YouTube data like transcripts, metadata, and search results via a third-party API, bypassing Google API quotas. It triggers on URLs, creator names, or any implicit need for YouTube content analysis. It requires only a TranscriptAPI key and internet access, but cannot handle uploads or account management.
Quick Install
Claude Code
Recommendednpx 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/youtube-dataCopy and paste this command in Claude Code to install this skill
Documentation
YouTube Data
YouTube data access via TranscriptAPI.com — lightweight alternative to Google's YouTube Data API.
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.
API Reference
Full OpenAPI spec: transcriptapi.com/openapi.json — consult this for the latest parameters and schemas.
Video Data (transcript + metadata) — 1 credit
curl -s "https://transcriptapi.com/api/v2/youtube/transcript\
?video_url=VIDEO_URL&format=json&include_timestamp=true&send_metadata=true" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
Response:
{
"video_id": "dQw4w9WgXcQ",
"language": "en",
"transcript": [
{ "text": "We're no strangers to love", "start": 18.0, "duration": 3.5 }
],
"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"
}
}
Search Data — 1 credit
curl -s "https://transcriptapi.com/api/v2/youtube/search?q=QUERY&type=video&limit=20" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
Video result fields: videoId, title, channelId, channelTitle, channelHandle, channelVerified, lengthText, viewCountText, publishedTimeText, hasCaptions, thumbnails
Channel result fields (type=channel): channelId, title, handle, url, description, subscriberCount, verified, rssUrl, thumbnails
Channel Data
Channel endpoints accept channel — an @handle, channel URL, or UC... ID. No need to resolve first.
Resolve handle to ID (free):
curl -s "https://transcriptapi.com/api/v2/youtube/channel/resolve?input=@TED" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
Returns: {"channel_id": "UCsT0YIqwnpJCM-mx7-gSA4Q", "resolved_from": "@TED"}
Latest 15 videos with exact stats (free):
curl -s "https://transcriptapi.com/api/v2/youtube/channel/latest?channel=@TED" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
Returns: channel info, results array with videoId, title, published (ISO), viewCount (exact number), description, thumbnail
All channel videos (paginated, 1 credit/page):
curl -s "https://transcriptapi.com/api/v2/youtube/channel/videos?channel=@NASA" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
Returns 100 videos per page + continuation_token for pagination.
Search within channel (1 credit):
curl -s "https://transcriptapi.com/api/v2/youtube/channel/search\
?channel=@TED&q=QUERY&limit=30" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
Playlist Data — 1 credit/page
Accepts playlist — a YouTube playlist URL or playlist ID.
curl -s "https://transcriptapi.com/api/v2/youtube/playlist/videos?playlist=PL_ID" \
-H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
-H "User-Agent: YourAgent/1.0"
Returns: results (videos), playlist_info (title, numVideos, ownerName, viewCount), continuation_token, has_more
Credit Costs
| Endpoint | Cost | Data returned |
|---|---|---|
| transcript | 1 | Full transcript + metadata |
| search | 1 | Video/channel details |
| channel/resolve | free | Channel ID mapping |
| channel/latest | free | 15 videos + exact stats |
| channel/videos | 1/page | 100 videos per page |
| channel/search | 1 | Videos matching query |
| playlist/videos | 1/page | 100 videos per page |
Errors
| Code | Meaning | Action |
|---|---|---|
| 401 | Bad API key | Check key |
| 402 | No credits | transcriptapi.com/billing |
| 403/1010 | Cloudflare block | Add or fix User-Agent header |
| 404 | Not found | Resource doesn't exist |
| 408 | Timeout | Retry once |
| 422 | Validation error | Check param format |
Free tier: 100 credits, 300 req/min.
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
polymarket
MetaThis skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.
creating-opencode-plugins
MetaThis skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
