Audio Transcription

Use this Skill only when the user explicitly asks to transcribe audio, create subtitles, analyze a recording, or make meeting notes from a recording. Do not invoke ASR merely because an audio attachment is present.

PilotDeck provides this Skill itself; there is no Skill file to install. First check whether mcp__funasr__transcribe_audio is available. If its local runtime or models are missing, run the exact installation command shown by the attachment or MCP diagnostic. Source checkouts use npm:

npm --prefix "<PilotDeck directory>" run install:asr

Installed desktop apps invoke their bundled Node and scripts/install-asr.mjs directly. Use the displayed command through the Bash tool; do not substitute a system Node or npm installation.

The installer downloads the platform-specific official FunASR llama.cpp runtime and the local models. It does not require Docker, Python, or a cloud API. After it completes, retry mcp__funasr__transcribe_audio in the same session.

For platform, cache, download-source, and network troubleshooting details, read ../../docs/funasr-installation.md relative to this Skill directory.

Workflow

1. Identify the registered audio attachment path in the session message.
2. Pass that project-local host path directly as audio_path; do not convert it to a container path. The tool rejects paths outside the current project, including symlinks that escape it.
3. Call mcp__funasr__transcribe_audio with language: "auto". This is the only language value supported by the local SenseVoice CLI.
4. Preserve timestamped segments for subtitles, verbatim transcripts, or auditable meeting records.
5. Only after transcription, summarize, translate, or extract action items as requested.

Constraints

• Do not use read_file to decode audio.
• Do not send the audio to a cloud service or substitute a different ASR provider without the user's direction.
• The tool is intentionally limited to a real local file inside the active project.