How to Get Started with Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API in Your AI Workflow

Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API is a powerful AI agent skill that extends your assistant with new capabilities. Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API. This guide walks you through installing Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API: npx clawhub@latest --dir ~/.claude/skills install openclaw-aisa-search-web-academic-tavily

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to data & analytics to trigger Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API

More Use Cases for Intelligent search for agents. Multi-source retrieval with confidence scoring - web, academic, and Tavily in one unified API