Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Formulates web search queries and analyzes the resulting information. Adapts search strategies to different information needs and synthesizes findings.
Runs Tavily and Exa search, answer, and extraction applications through the inference.sh CLI. Supports source discovery, content aggregation, fact-checking, and retrieval for agents and RAG pipelines.
Supports web search, content extraction, and direct answers using Tavily and Exa apps. Applies to research, fact-checking, content aggregation, RAG pipelines, and agent workflows.
Provides AI-powered search, direct answers, and content extraction through Tavily and Exa. Supports research, fact-checking, content aggregation, RAG pipelines, and agent workflows.
Uses Tavily and Exa search, answer, and extraction apps through the inference.sh CLI. Supports research, fact-checking, content aggregation, and information gathering for agents and RAG pipelines.
Supports AI-powered search, direct answers, and page content extraction. Useful for research, fact-checking, content aggregation, and retrieval pipelines.
Provides AI-powered search, content extraction, and direct answers through Tavily and Exa apps. Supports research, fact-checking, content aggregation, RAG pipelines, and agents.
Uses Tavily and Exa through the inference.sh CLI for web search, content extraction, and direct answers. Supports research, fact-checking, content aggregation, RAG pipelines, and agent information gathering.
Uses Tavily and Exa through the inference.sh CLI for web search, content extraction, and direct answers. Supports research, fact-checking, content aggregation, RAG pipelines, and agent information gathering.
Gather current, verified information from the web through systematic search queries, grounding checks, and authoritative source citation. Use for time-sensitive topics, API lookups, and fact-checking.
Provides guidance on high-impact SEO, Open Graph metadata, and Schema.org JSON-LD for Person, Physician, and ScholarlyArticle entities. Targets Google Lighthouse 100/100 performance optimization for personal and academic websites.
Severity scoring, scorecard computation, confidence levels, and remediation tracking for web accessibility audits. Use when computing page accessibility scores (0-100 with A-F grades), tracking remediation progress across audits, or generating cross-page comparison scorecards.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
A name only tells half the story. Search the full description and instructions to find the right fit.
Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name