| name | audio-transcription |
| description | Transcribe a project-local audio recording, generate subtitles, analyze a recording, or produce meeting notes from audio using local FunASR. |
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 npm --prefix "..." run install:asr command shown by the attachment or MCP diagnostic. It points at the PilotDeck source checkout or installed app directory:
npm --prefix "<PilotDeck directory>" run install:asr
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
- Identify the registered audio attachment path in the session message.
- 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.
- Call
mcp__funasr__transcribe_audio with language: "auto". This is the only language value supported by the local SenseVoice CLI.
- Preserve timestamped segments for subtitles, verbatim transcripts, or auditable meeting records.
- 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.
