Claude Code skill: end-to-end YouTube production pipeline run by a persistent per-channel agent team (researcher + uploader long-lived, topic-runner
Claude Code skill: end-to-end YouTube production pipeline run by a persistent per-channel agent team (researcher + uploader long-lived, topic-runner ad-hoc, cap 3
YouTube Content Workflow is a Claude Code skill that turns a Notion content calendar into scheduled YouTube videos end-to-end: pick a channel, generate SUCCESS-framework titles, run NotebookLM deep research, generate an Explainer video in the channel's language, transcribe it, draft the description, build the thumbnail (preferring Nano Banana Pro), generate tags, and schedule upload — never public.
The skill orchestrates external MCPs at runtime. Install these in your Claude environment before first use — Phase 0 of the skill probes each one and halts with the exact missing-tool name if any are absent. - Notion MCP — read the content calendar, write per-channel context - NotebookLM MCP — notebook_create, research_start (deep mode), studio_create, download_artifact ·
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| youtube-content | workflow** (~/.claude/skills/youtube-content-workflow/SKILL.md) - End-to-end YouTube production pipeline. Trigger: /youtube-content-workflow |
{
"mcpServers": {
"maagpi-youtube-workflow-skill": {
"command": "npx",
"args": ["-y", "youtube-content-workflow"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
The skill orchestrates external MCPs at runtime. Install these in your Claude environment before first use — Phase 0 of the skill probes each one and halts with the exact missing-tool name if any are absent. - Notion MCP — read the content calendar, write per-channel context - NotebookLM MCP — notebook_create, research_start (deep mode), studio_create, download_artifact ·
Store entities, relations and observations in a local knowledge graph with the reference Memory MCP server.
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Your assistant inside the workspace — read channels, search history, post messages and tame the noise.
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