Search Skill
0This skill allows you to search the web and get relevant results optimized for LLM consumption. It supports various search depth modes and includes advanced filtering options.
000Updated 2mo ago
Web Search
Quick InstallView Source
$ npx skills add https://github.com/tavily-ai/skills --skill searchOverview
About This Skill
Tavily Search Skill enables AI agents to find relevant web information and return results optimized for language model consumption. The skill supports configurable search depths, domain filtering, and time range constraints to refine queries. It integrates with Claude Code, Cursor, and other AI agents through the Tavily CLI, requiring authentication with a Tavily API key. Use it as the first step in research workflows before extracting specific content from URLs or crawling websites for comprehensive information gathering.
How to Use
Install via npx and authenticate using OAuth or API key.
Use Cases
Retrieve search results with relevant snippets for content generation.
Filter search results by date, country, and other criteria.
Use automatic OAuth for hassle-free authentication while searching.
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/tavily-ai/skills --skill searchAlternative Install (Git Clone)
git clone https://github.com/tavily-ai/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Search the web for [TOPIC] with a focus on [DATA_TYPE] and return the most relevant results. Use a [SEARCH_DEPTH] search depth and apply filters for [FILTER_CRITERIA]. Prioritize authoritative sources and summarize key findings in a structured format.
Example Output
## Search Results for "AI in Healthcare 2024" ### **Top 5 Findings** 1. **FDA Approves AI-Powered Diagnostic Tool** - *Source*: FDA.gov (June 2024) - *Summary*: The FDA cleared an AI tool for early-stage breast cancer detection, reducing false positives by 30%. - *Link*: [FDA Press Release](https://www.fda.gov) 2. **Hospital Adoption Trends** - *Source*: Healthcare IT News (May 2024) - *Summary*: 68% of U.S. hospitals now use AI for predictive analytics, up from 45% in 2023. 3. **Ethical Concerns** - *Source*: Nature Medicine (April 2024) - *Summary*: Researchers warn about bias in AI models trained on underrepresented patient data. 4. **Cost Savings** - *Source*: McKinsey & Company (2024 Report) - *Summary*: AI in healthcare could save $150B annually by 2030 through automation and efficiency. 5. **Regulatory Challenges** - *Source*: HIPAA Journal (March 2024) - *Summary*: New guidelines proposed for AI transparency in patient data handling. ### **Key Data Points** - **Adoption Rate**: 68% (2024 vs. 45% in 2023) - **ROI**: $150B annual savings potential - **Regulatory Focus**: FDA, HIPAA updates ### **Sources** - [FDA.gov](https://www.fda.gov) - [Healthcare IT News](https://www.healthcareitnews.com) - [Nature Medicine](https://www.nature.com/nm) - [McKinsey & Company](https://www.mckinsey.com) - [HIPAA Journal](https://www.hipaajournal.com)
Find the right skills for your stack
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan