youtube

# YouTube Fetch the full transcript of any YouTube video and turn it into whatever the user needs — summaries, blog posts, social content, quotes, show notes, or raw text. Then package videos for upload: high-CTR thumbnails, SEO titles, and descriptions. ## Routing | User intent | Where to go | | --- | --- | | Transcript, summary, repurposing, quotes, chapters | This guide (below) | | Thumbnails, style cloning, SEO titles/descriptions | `references/thumbnails.md` | ## Requirements - **Hyper MCP installed.** [https://app.hyperfx.ai/mcp](https://app.hyperfx.ai/mcp) - **Sandbox text workflows:** require `ai_functions_run` in the connected catalog and the sandbox toolkit. These scripts run inline LLM calls through the sandbox tool bridge. - **YouTube toolkit enabled** at [https://app.hyperfx.ai/apps](https://app.hyperfx.ai/apps) — provides `youtube_video_transcripts_fetch` and `youtube_videos_read`. - Thumbnail workflows additionally need the image generation and sandbox toolkits. If `search("youtube_video_transcripts_fetch")` does not find `youtube_video_transcripts_fetch`, stop and tell the user to enable the YouTube toolkit in Hyper. ### How to run the tools in this skill Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you: | Surface | Find a tool | Run it | | --- | --- | --- | | MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call("<name>", {...})` | | ...