| name | podcast-production |
| description | Plan, generate, mix, and publish a daily multi-persona podcast episode using podcast_plan + podcast_generate, with optional HeyGen video and YouTube upload flow. |
| metadata | {"argent":{"emoji":"podcast","skillKey":"podcast-production","requires":{"envAny":"[Truncated]"}}} |
Podcast Production
Use this skill when the user asks to create/ship podcast episodes end-to-end.
Primary Tools
podcast_plan: normalize script/personas, produce podcast_generate payload + runbook
podcast_generate: one-shot ElevenLabs dialogue render + optional FFmpeg intro/outro/bed mix
podcast_publish_pipeline: one-call orchestrator for audio -> HeyGen -> YouTube metadata -> thumbnail -> optional YouTube upload
heygen_video: avatar/voice discovery, HeyGen video generation, status polling, downloads
youtube_metadata_generate: YouTube title + description + chapters + thumbnail brief
youtube_thumbnail_generate: generate final thumbnail image asset
sessions_spawn / sessions_send: dispatch research minions/family agents
web_search / web_fetch: source and verify stories
Daily Flow (Autonomous)
- Research swarm
- Spawn 2-6 research agents focused on model releases, infra, pricing, and notable papers.
- Require source URLs and publication timestamps for each claim.
- Merge into a short ranked shortlist (3-5 stories + 1 deep dive).
- Script planning
- Build a host/cohost script with clear segments.
- Call
podcast_plan with personas (1-3), script, and publish targets.
- Reuse
podcast_plan.podcast_generate output as the direct next call payload.
- Audio generation
- Call
podcast_generate exactly once for dialogue rendering.
- If music assets exist, pass
music.intro_path, music.outro_path, music.bed_path.
- Keep
ducking: true for speech clarity unless the user asks otherwise.
- Publish operations
- Spotify: use Spotify for Creators web flow for episode publish.
- HeyGen (optional): generate avatar/headless video from script/audio.
- For scene cuts/B-roll style sequencing, pass
scenes[] to heygen_video so each entry maps to one video_inputs[] scene.
- Default Argent avatar ID for this setup:
885b0ad5cd61488b8a9828ff0e244e15 (pass as default_avatar_id, or set HEYGEN_DEFAULT_AVATAR_ID).
- YouTube packaging: run
youtube_metadata_generate, then youtube_thumbnail_generate.
- For creator-style long descriptions, use:
description_style: "creator_longform"
style_profile_path: "skills/podcast-production/references/youtube-style-creator-longform.json"
- YouTube upload (optional): upload video using YouTube Data API workflow.
- Record outcomes
- Save URLs, episode title/date, and blockers into memory/tasks.
- Log follow-up improvements for tomorrow's run.
Constraints
- Do not split dialogue into per-line TTS files unless one-shot generation fails.
- Keep persona count between 1 and 3.
- Treat publishing as separate from generation; generation success does not imply publish success.
- If a platform publish step fails, still deliver usable audio/video artifacts and report exact failure.
Quick Start Payload Shape
{
"title": "Bleeding Edge Episode",
"personas": [
{ "id": "argent", "voice_id": "cgSgspJ2msm6clMCkdW9", "aliases": ["ARGENT", "HOST"] },
{ "id": "juniper", "voice_id": "aMSt68OGf4xUZAnLpTU8", "aliases": ["JUNIPER"] }
],
"script": "ARGENT: ...\nJUNIPER: ...",
"publish": { "spotify": true, "heygen": true
Use the returned podcast_generate object directly in the next tool call.
One-Call Pipeline Example
{
"mode": "run",
"podcast_generate": {
"title": "Bleeding Edge Episode",
"dialogue": [
{ "text": "[energetic] You're listening to Argent.", "voice_id": "cgSgspJ2msm6clMCkdW9" },
{ "text": "[warm] Juniper here.", "voice_id": "aMSt68OGf4xUZAnLpTU8" }
],
"model_id": "eleven_v3",
"output_format": "mp3_44100_192"
},
"heygen": {
"enabled": true,
"wait_for_completion": true
References