readai

Fetch and manage Read AI meeting data - summaries, transcripts, action items, and engagement metrics. Use when the user asks about meetings, meeting notes, meeting summaries, action items from meetings, who said what in a meeting, meeting transcripts, Read AI data, or wants to set up Read AI webhooks. Also use for searching past meetings, generating meeting digests, or pulling meeting analytics.

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Install skill "readai" with this command: npx skills add brandons7/readai

Read AI Integration

Pull meeting intelligence from Read AI via REST API or webhook receiver.

Auth

Two data sources supported:

  1. Limitless Pendant (primary) - Captures all conversations including meetings via API
  2. Read AI Webhook - Real-time meeting summaries pushed from Read AI

API key stored at ~/.config/readai/api-key (same as Limitless key if using pendant).

# One-time setup
mkdir -p ~/.config/readai
echo "YOUR_API_KEY" > ~/.config/readai/api-key
chmod 600 ~/.config/readai/api-key

For Limitless: Get key from limitless.ai dashboard. For Read AI API: Get key from Read AI Dashboard > Settings > Integrations > API Keys.

Quick Commands

List Recent Meetings

python3 scripts/list_meetings.py              # Last 7 days
python3 scripts/list_meetings.py --days 30    # Last 30 days
python3 scripts/list_meetings.py --today      # Today only
python3 scripts/list_meetings.py --json       # JSON output

Get Meeting Details

python3 scripts/readai_client.py get <meeting_id>
python3 scripts/readai_client.py get <meeting_id> --transcript   # Full transcript
python3 scripts/readai_client.py get <meeting_id> --actions      # Action items only

Search Meetings

python3 scripts/search_meetings.py "quarterly review"
python3 scripts/search_meetings.py "budget" --days 30
python3 scripts/search_meetings.py "action items" --speaker "Brandon"

Export Meeting Summary

python3 scripts/readai_client.py export <meeting_id>             # Markdown
python3 scripts/readai_client.py export <meeting_id> --format json

Webhook Setup

For real-time meeting data, set up the webhook receiver:

  1. Run: python3 scripts/webhook_receiver.py --port 9010
  2. In Read AI Dashboard > Settings > Integrations > Webhooks
  3. Add URL: http://<your-server>:9010/webhook/readai

Webhook data is stored in ~/.readai/meetings/YYYY-MM-DD/.

See references/api-reference.md for full API documentation.

Data Structure

Meetings include:

  • Summary - AI-generated meeting recap
  • Transcript - Full speaker-attributed transcript
  • Action Items - Tasks with assignees
  • Topics - Key discussion topics
  • Participants - Attendees with engagement metrics
  • Decisions - Key decisions made
  • Duration/Timing - Start, end, duration

Local Data

Data is stored/symlinked at ~/.readai/:

~/.readai/
├── meetings/                # Webhook-received meetings
│   └── YYYY-MM-DD/
│       ├── <timestamp>_<title>.json
│       └── <timestamp>_<title>.md
├── lifelogs/                # Limitless pendant data (symlink)
│   └── YYYY-MM-DD/
│       ├── raw_lifelogs.json
│       ├── entries.json
│       └── digest.md
└── index.json               # Meeting index for search

Limitless Lifelog Pull

# Pull today's pendant data (includes meetings)
python3 scripts/limitless_pull.py --today

# Pull specific date
python3 scripts/limitless_pull.py 2026-02-19

# Pull with AI summary
python3 scripts/limitless_pull.py --today --ai

Source Transparency

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