Best Search Skills for AI Agents
This guide uses the /learn command to install skills. Install it first if you haven't already.
Search is one of the most fundamental capabilities an AI agent can have. Without it, your agent is limited to what it already knows. With the right search skills, it can find real-time information, research topics, and pull data from across the web.
agentskill.sh has an extensive collection of search skills covering web search, academic research, code search, and news monitoring. With 69,000+ skills across 20+ platforms, you'll find a search tool for every research workflow. Here are the best search skills available right now.
Multi-Engine and Intelligent Search
Web Search Plus by OpenClaw
The web-search-plus skill is the most versatile search tool in the directory. It uses intelligent auto-routing with multi-signal analysis to automatically select the best search provider for each query. Whether it's Serper for Google results, Tavily for AI-optimized research, or Exa for semantic search, this skill picks the right engine for the job.
Install it:
/learn @openclaw/web-search-plus
Tavily Search Pro by OpenClaw
The tavily-search-pro skill is an AI search platform with 5 modes: Search (web, news, and finance), Extract (URL content), Crawl (website crawling), Map (site mapping), and structured research. It's purpose-built for AI agents and returns concise, relevant results optimized for language models.
/learn @openclaw/tavily-search-pro
Exa by OpenClaw
For semantic search, exa provides neural web search and code context via the Exa AI API. Unlike keyword-based search, Exa understands the meaning behind your query and returns conceptually relevant results. Great for finding documentation, code examples, research papers, and similar content.
/learn @openclaw/exa
Google Search
Google Search by OpenClaw
The google-search skill provides direct access to Google search results through the Custom Search Engine API. It supports web search with live information, documentation lookup, and general web queries. The most straightforward way to give your agent Google search capabilities.
/learn @openclaw/google-search
Serper Web Search by OpenClaw
The serper-web-search skill accesses Google search via the Serper API. It supports web search with full page content extraction, handling the common pattern of searching for pages and then reading their content. If you have a Serper API key, this is a fast and reliable Google search option.
/learn @openclaw/serper-web-search
Google Search Grounding by OpenClaw
For search powered by Gemini, google-search-grounding uses Google's Gemini Search Grounding as the primary engine with Custom Search JSON API as a fallback. It combines AI-grounded search with traditional web results for comprehensive coverage.
/learn @openclaw/google-search-grounding
Code Search
GitHub Search by Majiayu000
The github-search skill searches GitHub for repositories, code, and usage examples using the gh CLI. It handles repo discovery, code search across millions of repos, and finding specific implementations. When your agent needs to find how others have solved a similar problem, this is the skill to use.
/learn @majiayu000/github-search
GitHub Code Search by Majiayu000
For even more targeted code searches, github-code-search searches GitHub code across millions of repositories using grep.app. It finds code patterns, library usage examples, and specific implementations faster than browsing repos manually.
/learn @majiayu000/github-code-search
Social Media Search
Xpoz Social Search by OpenClaw
The xpoz-social-search skill searches Twitter, Instagram, and Reddit posts in real time. It finds social media mentions, tracks hashtags, discovers influencers, and analyzes engagement across platforms. One skill for searching all major social networks.
/learn @openclaw/xpoz-social-search
News Monitoring
Google News API by OpenClaw
The google-news-api skill scrapes structured news data from Google News automatically. Your agent can search for news on any topic, track industry trends, and compile daily briefings. It returns structured results with titles, sources, and publication dates.
/learn @openclaw/google-news-api
Search by NeverSight
For Google search via API, the search skill uses the Bright Data SERP API to search Google. It returns structured JSON results with title, link, and description. A good option if you're already using Bright Data for other data collection work.
/learn @neversight/search
Getting Started
All these skills install in seconds. Open your AI agent (Claude Code, Cursor, Copilot, or any supported platform), type the /learn command, and you're set.
If you're new to agent skills, start with the /learn install guide to set up the command. Then browse the full collection of research and data skills on agentskill.sh to find more tools for your workflow.
Search skills pair naturally with other skill categories. Check out the best web crawling skills for AI agents to go deeper on the pages your agent finds, or the best Google tools skills for integrating search data with Google Sheets and Analytics.
New search skills are added to agentskill.sh every week. If you've built a search integration, submit it to make it available to thousands of AI agent users.
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