SAI-podcast-download

Trigger manifest — podcast-download (atomic, autonomous)

Code: skills/podcast-download/ Manifest: skill.yaml (4-tier cascade) Entry point: runner.py → run(inputs)

Cascade plan

1. resolve_feed       (rules) → Spotify URL → RSS via iTunes Search API
2. list_episodes      (rules) → parse RSS, filter by since_date / max_episodes
3. download_each      (rules) → fetch missing audio (retries, resume-safe)
4. write_manifest     (rules) → emit manifest.json; ready_to_propose

All tiers are deterministic Python. No LLM calls. No external auth required.

Invocation

.venv/bin/python3.12 \
  skills/podcast-download/runner.py run \
  --inputs-json '{
    "spotify_show_url": "https://open.spotify.com/show/<spotify-show-id>",
    "output_dir":       "~/Media/podcasts/<show-slug>",
    "since_date":       "2020-01-01",
    "max_episodes":     0
  }'

Either spotify_show_url or feed_url is required. max_episodes: 0 means all. Invoke runners by absolute path (folder names use hyphens, so python -m won't import).

Standard manifest shape

{
  "workflow_id": "podcast-download",
  "feed_url":    "https://.../feed.xml",
  "episodes": [
    {
      "episode_id":  "<sha1-hex>",
      "title":       "...",
      "pub_date":    "YYYY-MM-DD",
      "audio_path":  "/abs/path/to/file.mp3",
      "audio_url":   "https://...",
      "show_title":  "..."
    }
  ],
  "download_results": {"downloaded": [...], "skipped": [...], "failed": [...]}
}

Composes with

• SAI-local-transcribe — feeds manifest.episodes[].audio_path into Whisper
• SAI-podcast-rag-index — writes transcripts into the ChromaDB index