Smart Search for Openclaw

A sophisticated search utility that merges general web browsing with deep academic retrieval for comprehensive research flows.

bibaofeng
v1.0.0
Apr 17, 2026
0
740
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install smart-search-aisa

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Smart Search?

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.

Smart Search Use Cases

  • Investigating technical benchmarks for AI models where both news and academic papers are relevant.
  • Performing comprehensive market research that requires data from public websites and scholarly journals.
  • Fact-checking current events against scientific data or historical archives.
  • Building knowledge bases that require a mix of high-velocity web data and high-authority academic sources.

How Smart Search Works

  1. The AI agent identifies a need for a multi-faceted research pass involving both general and academic data.
  2. The skill invokes the bundled Python client to communicate with the AISA backend.
  3. The system executes a dual-query strategy to scan public web indexes and academic repositories simultaneously.
  4. Results are filtered and merged into a cohesive data structure for the agent to process.
  5. The integrated intelligence within this member of the Openclaw Skills family ensures that the most relevant citations are prioritized for the final output.

Smart Search Setup

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

Smart Search Data Schema & Taxonomy

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.

Smart Search Advanced Features

  • Unified AISA search mode for simultaneous multi-domain retrieval.
  • Intelligent blending of disparate data sources into a single, structured research stream.
  • Native support for Python 3 environments within the Openclaw Skills ecosystem.
  • Optimized for open-weight reasoning models requiring high-context retrieval.

SKILL.md


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