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Snapshot Oct 29, 2026 · 12:05 UTC · version 1.1.0

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{
  "description": "Export a Descript project's transcript as text in txt, markdown, html, rtf, or srt.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 197
    }
  ],
  "name": "export-transcript",
  "skill_md_contents": "---\nname: export-transcript\ndescription: Export a Descript project's transcript as text in txt, markdown, html, rtf, or srt.\n---\n\n# Export Transcript\n\n## When to use\n\n- When the user wants the spoken text of a project as a transcript\n- When they ask for captions or a written record of a composition\n\n## Instructions\n\n1. Locate the project with `search_drive` (or `list_projects` if filtering/paginating the project list), then use `get_project` to retrieve its composition IDs.\n2. If the project has more than one composition, confirm which one and pass its `composition_id` explicitly.\n3. Call `export_transcript` with the project ID, composition ID, and a `format` (`txt`, `markdown`, `html`, `rtf`, or `srt`). Use `include_speaker_labels`, `include_markers`, and `timecodes` if the user asks for them.\n4. `export_transcript` is synchronous — it returns the transcript content directly in the response. There is no `job_id`; do not call `wait_for_job`.\n5. Give the returned transcript content to the user in the requested format.\n"
}

SHA-256 of public snapshot: ae4016a8d9061ef3c665b9bf1dded213c3a532748bf941af9f9f4eae7032957f