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.
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---
name: quill-export
description: 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.
---
# 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:
```bash
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:
```bash
# 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:
```bash
# 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:**
```markdown
**James LePage:** Hello, how are you?
**Ember:** I'm doing well, thanks!
```
**When names are not available:**
```markdown
**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
```markdown
---
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:**
```bash
python3 export_meeting.py list 10
```
**Export by ID:**
```bash
python3 export_meeting.py export 76490ffc-d751-4a2a-9ef5-df4d3ddce442 > meeting.md
```
**Export by name search:**
```bash
python3 export_meeting.py export "AI Discussion" > meeting.md
```
**Integration with other tools:**
```bash
# 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.