Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Turn voice recordings into actionable intelligence. Semantic search, action items, meeting context.
What This Skill Does
Pocket AI is a wearable device that records meetings, calls, and conversations, then transcribes and indexes them. The API exposes semantic search across all recordings, plus endpoints for listing recordings, filtering by tags, and downloading audio.
Semantic search finds relevant moments by meaning across every recording, so a query like 'manufacturing restructuring decisions' returns results even when those exact words were never spoken.
When to use it
- Searching what was discussed with a specific person last week
- Pulling action items from yesterday's team calls
- Finding what decisions were made about a project topic
- Reviewing conversation context before a follow-up meeting
- Surfacing follow-ups that were mentioned but never written down
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: What action items came out of my meetings today?
- 1Send POST to /public/search with query 'action items tasks follow up today'
- 2Parse relevantMemories array for entries with action_item in the sources field
- 3Extract content, recordingDate, and speakers from each matching memory
- 4Format results as a list grouped by recording title
A list of action items with timestamps, speaker labels, and source recording dates
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.