Menu
Synthetic skill for sai-overlay deploy tests. Not a real skill.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Atomic SAI skill. Fully-local audio transcription via Whisper (mlx-whisper on Apple Silicon, faster-whisper fallback elsewhere). No audio leaves the machine; no API keys. Accepts a single audio file, a directory, or a podcast-download manifest.json. Writes one .md per input with YAML frontmatter compatible with a rag-index-updater pipeline. Use whenever you need to transcribe audio, run whisper on a file, transcribe all episodes in a folder, or any workflow needs text from audio.
Atomic SAI skill. Download podcast episode audio from an RSS feed or a Spotify show URL (resolved to RSS via the iTunes Search API โ Spotify itself blocks audio downloads). Resume-safe, retry-aware. Emits a manifest.json that downstream skills (local-transcribe, podcast-rag-index) consume. Use whenever you need to download a podcast, grab episodes of a show, pull audio for a Spotify show URL, or any workflow needs raw podcast MP3s as input.
Atomic SAI skill. Index a directory of transcript .md files (YAML frontmatter, one per episode) into an existing ChromaDB RAG store by delegating to a rag-index-updater-style index.py. Pure mechanism โ no operator paths or collection baked in; the caller supplies indexer_scripts / manifest_path directly or via a private config_path. Hash-skips unchanged files. Use whenever you need to index transcripts, add transcripts to a RAG, or embed episodes for semantic lookup.
Fixture for PR 7 (scaffold-claude-code-skill). Simulates a Claude-Code skill discovered in the plugin-install path with no skill.yaml manifest. The scaffold subcommand reads this dir and emits a starter skill.yaml v2 with a single claude_code profile.
| name | sample-alpha |
| description | Synthetic skill for sai-overlay deploy tests. Not a real skill. |
This is a fixture used by tests/runtime/test_overlay_deploy.py to verify
that sai-overlay deploy --target claude_code writes a Claude-Code skill
correctly and that --target cowork produces a valid ZIP package.
The body is intentionally short so test diffs stay readable.
