minutes-record

Skill Path

Before running helper scripts or opening bundled references, set:

export MINUTES_SKILLS_ROOT="$(git rev-parse --show-toplevel)/.agents/skills/minutes"
export MINUTES_SKILL_ROOT="$MINUTES_SKILLS_ROOT/minutes-record"

/minutes-record

Record audio from the microphone, transcribe it locally with whisper.cpp, and save as searchable markdown.

How it works

Recording is a two-step process — start and stop. Between those two commands, audio is captured continuously from the default input device.

Start recording:

minutes record
# Or with a title:
minutes record --title "Weekly standup with Alex"

The process runs in the foreground. It captures audio from whatever input device is active — the built-in MacBook mic for in-person conversations, or a BlackHole virtual audio device for system audio (Zoom, Meet, Teams calls).

Stop recording:

minutes stop

This sends a signal to the recording process, which then:

1. Stops audio capture
2. Transcribes the audio locally via whisper.cpp (no cloud, no data leaves the machine)
3. Saves the transcript as a markdown file in ~/meetings/
4. Prints the output path and word count as JSON

Live transcript during recording:

While recording, Minutes streams a real-time transcript to ~/.minutes/live-transcript.jsonl. You can read it with:

minutes transcript                    # all lines
minutes transcript --since 42         # lines after cursor
minutes transcript --since 5m         # last 5 minutes
minutes transcript --status           # check if active

This lets you follow what's being discussed mid-meeting. The live output is rougher than the final transcript produced after stop -- it prioritizes speed over accuracy.

Check status:

minutes status

Returns JSON: {"recording": true, "pid": 12345} or {"recording": false}

What you get

A markdown file at ~/meetings/YYYY-MM-DD-title.md with:

• YAML frontmatter (title, date, duration, type)
• Timestamped transcript
• Summary, decisions, and action items (if LLM summarization is configured)