Secure, per-user semantic email search across Gmail, Outlook, and IMAP histories.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install igpt-email-intelligence
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 igpt-email-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
iGPT Email Search is a robust retrieval tool built for developers looking to add deep inbox intelligence to their Openclaw Skills library. It utilizes the iGPT API to provide a hybrid search engine that combines semantic vector search with traditional keyword matching. This allows AI agents to understand the intent behind a search, finding relevant threads based on meaning and context rather than just matching characters. By indexing the full email history, it overcomes the limitations of standard provider-specific searches, offering a unified interface for all connected email datasources.
First, install the required Python package:
pip install igptai
Then, configure your authentication by setting your API key as an environment variable:
export IGPT_API_KEY="your-api-key-here"
Ensure the target user has authorized their email datasource via the iGPT dashboard or API.
The skill processes search requests and returns ranked message objects. The following parameters define the search schema:
| Parameter | Type | Required | Description |
|---|---|---|---|
| query | string | Yes | The natural language or keyword query |
| user | string | Yes | Unique identifier to scope the search to a specific user |
| date_from | string | No | Start date filter (YYYY-MM-DD) |
| date_to | string | No | End date filter (YYYY-MM-DD) |
| max_results | integer | No | Maximum number of results to return (default is ranked by relevance) |
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