Advanced AI research powered by real-time web search and reasoning
Perplexity AI provides advanced research capabilities with real-time web search integration. Unlike traditional search, Perplexity combines information gathering with AI reasoning to synthesize comprehensive answers with full citations. Perfect for agents that need to research complex topics and provide well-sourced insights.
Copy the command below and run it in your OpenClaw installation:
openclaw skills add perplexity-aiAdded real-time search, improved source attribution, faster response times
Deploy OpenClaw on Hostinger in 5 minutes with this skill pre-configured.
Composio is the most powerful integration skill for OpenClaw — it connects your agent to 860+ external tools and services through a single installation. Instead of building custom authentication pipelines for every service, Composio handles OAuth, API keys, and session management automatically. Connect to GitHub, Slack, Gmail, Notion, Linear, Jira, HubSpot, Stripe and hundreds more without writing a single line of auth code.
Web Browsing is the single most installed skill on ClawHub with over 180,000 installs and for good reason — without it your OpenClaw agent is a chatbot running on stale training data. This official first-party skill gives your agent the ability to navigate real web pages, extract content, follow links, fill forms and interact with live websites exactly as a human would. Research tasks, documentation lookups, price monitoring, competitor analysis and fact-checking all start here. It is the foundation that most advanced agent workflows are built on top of.
Tavily is the leading search skill for agent research pipelines and one of the most recommended alternatives to raw web search on ClawHub. Unlike standard search skills that return a list of links for your agent to parse, Tavily returns AI-synthesised answers with source citations attached. Ask it a research question and you get a direct answer with references — not ten blue links to sift through. This dramatically reduces the number of follow-up steps your agent needs to take, saving tokens and time. Widely used in multi-step research agents and competitive intelligence pipelines.