emdashcodes

quill-export

Extract meeting recordings and transcripts from the Quill macOS app database. Outputs formatted markdown with speaker identification, transcripts, and metadata. Use when working with Quill meeting data.

emdashcodes 13 1 Updated 7mo ago

Resources

3
GitHub

Install

npx skillscat add emdashcodes/claude-code-plugins/quill-export

Install via the SkillsCat registry.

SKILL.md

Quill Meeting Export

Overview

Extract meeting data from Quill (macOS meeting recording app) and generate formatted markdown output with speaker-identified transcripts, meeting metadata, and Quill's AI-generated notes.

This skill provides:

  1. Database extraction from Quill's SQLite database
  2. Speaker name mapping from contact records
  3. Transcript formatting with speaker identification
  4. Markdown generation with YAML frontmatter
  5. Meeting search by ID or fuzzy name matching

When to Use This Skill

Activate when working with Quill meeting data:

  • Extracting meeting transcripts
  • Converting Quill recordings to markdown
  • Searching for meetings by name
  • Getting meeting metadata and participants

Workflow

Step 1: List Available Meetings

Show recent meetings from Quill:

python3 ~/.claude/skills/quill-export/scripts/export_meeting.py list [limit]

Output (to stderr):

  • Meeting ID (UUID)
  • Title
  • Date and time
  • Duration
  • Meeting type

Step 2: Export Meeting

Export meeting by ID or search term:

# By exact ID
python3 ~/.claude/skills/quill-export/scripts/export_meeting.py export 76490ffc-d751-4a2a-9ef5-df4d3ddce442

# By fuzzy search term
python3 ~/.claude/skills/quill-export/scripts/export_meeting.py export "orchestrator"

Output (to stdout):

  • Complete markdown document
  • YAML frontmatter with metadata
  • Transcript with real speaker names (if tagged in Quill)
  • Original Quill-generated notes
  • Audio file links

Fuzzy Search Behavior:

  • Case-insensitive partial matching
  • If single match: Exports automatically
  • If multiple matches: Lists options (stderr) and exits
  • If no matches: Error message and exit

Step 3: Use the Markdown Output

The markdown is printed to stdout, allowing flexible usage:

# Save to file
python3 export_meeting.py export "meeting name" > output.md

# Pipe to other tools
python3 export_meeting.py export <id> | pbcopy

# Capture in a variable (from another script/tool)
markdown=$(python3 export_meeting.py export <id>)

Database Schema

The script queries Quill's SQLite database at ~/Library/Application Support/Quill/quill.db.

See references/quill-schema.md for complete schema documentation including:

  • Meeting table structure
  • Transcript JSON format
  • ContactMeeting speaker mapping
  • Meeting type classifications

Speaker Name Mapping

The script automatically maps anonymous speaker IDs to real names:

How it works:

  1. Queries ContactMeeting table for speaker IDs
  2. Looks up contact names in Contact table
  3. Replaces speaker IDs (e.g., SPK-abc123) with real names in transcript

When names are available:

**James LePage:** Hello, how are you?
**Ember:** I'm doing well, thanks!

When names are not available:

**SPK-mvjxhzyf43:** Hello, how are you?
**SPK-h6xiau6chjv:** I'm doing well, thanks!

Meeting Type Classification

Meetings are categorized as work or personal based on type:

Work types:

  • 1on1, internal_product, internal_sync, internal_standup
  • existing_vendor:customer, other

Personal types:

  • personal, self_note, medical:patient

Category appears in YAML frontmatter type field.

Markdown Output Format

---
meeting_id: {UUID}
type: work|personal
date: YYYY-MM-DD
start_time: HH:MM
duration: X minutes
participants: ["Name 1", "Name 2"]
tags: ["meeting", "type", ...]
---

# {Meeting Title}

## Summary

_AI summary will be generated here_

## Key Discussion Points

_Key points will be extracted here_

## Action Items

_Action items will be extracted here_

## Related

_Links to related tasks and projects_

## Original Quill Notes

{Quill's AI-generated meeting notes}

## Transcript

**Speaker:** Transcript text...

## Audio

[Recording](file:///path/to/audio.m4a)

Audio File Handling

Audio files remain in Quill's directory:

  • Location: ~/Library/Application Support/Quill/meetings/
  • Linked using file:// absolute URLs
  • Only the combined audio file is linked (*-combined.m4a)

Error Handling

Meeting not found:

  • Prints error to stderr
  • Exit code 1

Multiple search matches:

  • Lists all matching meetings to stderr
  • Prompts user to be more specific
  • Exit code 1

Database errors:

  • Connection failures reported to stderr
  • Exit code 1

Usage Examples

List recent meetings:

python3 export_meeting.py list 10

Export by ID:

python3 export_meeting.py export 76490ffc-d751-4a2a-9ef5-df4d3ddce442 > meeting.md

Export by name search:

python3 export_meeting.py export "AI Discussion" > meeting.md

Integration with other tools:

# Copy to clipboard
python3 export_meeting.py export "sync meeting" | pbcopy

# Save with custom filename
python3 export_meeting.py export <id> > ~/Notes/$(date +%Y-%m-%d)-meeting.md

Resources

scripts/export_meeting.py

Python script for extracting meeting data and generating markdown.

Functions:

  • connect_db() - Connect to Quill database
  • get_speaker_names(conn, meeting_id) - Map speaker IDs to names
  • list_recent_meetings(conn, limit) - List meetings
  • search_meetings(conn, search_term) - Fuzzy search by title
  • get_meeting(conn, meeting_id) - Fetch meeting data
  • format_transcript(transcript, speaker_names) - Format with names
  • format_meeting_markdown(meeting) - Generate markdown output

references/quill-schema.md

Complete Quill database schema documentation.

assets/meeting-template.md

Template showing markdown structure and formatting.