A sophisticated search utility that merges general web browsing with deep academic retrieval for comprehensive research flows.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-search-aisa
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 smart-search-aisa using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Smart Search is a specialized tool designed to provide AI agents with a balanced perspective on complex queries. By bridging the gap between real-time web coverage and scholarly depth, it allows for a more nuanced information gathering process. This skill is a core component for developers looking to expand their library of Openclaw Skills with high-fidelity retrieval capabilities.
Built to leverage the AISA search mode, it streamlines the discovery of both news and peer-reviewed papers. Instead of managing multiple search protocols, agents can utilize this single skill to perform an exhaustive research pass that captures the full spectrum of available information, from industry trends to theoretical foundations.
To get started with Smart Search, ensure you have python3 installed and an active AISA API key. Set your environment variable and run the client as follows:
export AISA_API_KEY="your-key"
python3 scripts/search_client.py
The skill manages data through a structured Python-based client that returns JSON objects containing both web and academic metadata.
| Property | Description |
|---|---|
| source_type | Categorizes the result as 'web' or 'academic'. |
| snippet | A summary of the findings or the abstract of a paper. |
| link | The direct URL to the source material. |
| relevance_score | A weighted value determining the result's fit for the query. |
| metadata | Versioning and author details required for Openclaw Skills compatibility. |
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