A specialized skill for AI agents to retrieve, search, and analyze voice recordings, transcripts, and AI-generated summaries from Pocket AI devices.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install heypocket-reader
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install heypocket-reader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Pocket Transcripts is a bridge between your physical Pocket AI recording hardware and your AI-driven workspace. By leveraging a reverse-engineered API, this skill allows users to programmatically access voice data stored on heypocket.com. As part of the Openclaw Skills ecosystem, it empowers AI agents to process raw recordings into actionable insights, making it an essential tool for those who rely on high-fidelity voice notes for their daily productivity.
Whether you need to pull a specific meeting transcript or search through months of voice memos, this skill provides the necessary endpoints to interface with Pocket's cloud infrastructure. By integrating with Openclaw Skills, you can automate the flow of voice data directly into your notes, project management tools, or knowledge bases.
To use this within the Openclaw Skills framework, follow these steps to authenticate your session:
~/.claude/skills/browser/start.js --profile
~/.claude/skills/browser/nav.js https://app.heypocket.com
~/.pocket_token.json:python3 scripts/reader.py extract
Note: Tokens are valid for approximately one hour and require a refresh using the extraction script when expired.
The skill utilizes the PocketRecording and PocketSummarization data models to organize retrieved information.
| Field | Type | Description |
|---|---|---|
| id | String | Unique identifier for the recording |
| title | String | User-defined or auto-generated title |
| recorded_at | DateTime | Timestamp of the audio capture |
| duration_str | String | Human-readable length (e.g., '5:30') |
| tags | List | Array of strings for categorization |
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