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Web search, content extraction, crawling, and research capabilities using Tavily API
--- name: tavily-web-4ef753bcc884 description: "Web search, content extraction, crawling, and research capabilities using Tavily API" risk: unknown source: community date_added: "2026-02-27" --- # tavily-web ## Overview Web search, content extraction, crawling, and research capabilities using Tavily API ## When to Use - When you need to search the web for current information - When extracting content from URLs - When crawling websites ## Installation ```bash npx skills add -g BenedictKing/tavily-web ``` ## Step-by-Step Guide 1. Install the skill using the command above 2. Configure Tavily API key 3. Use naturally in Claude Code conversations ## Examples See [GitHub Repository](https://github.com/BenedictKing/tavily-web) for examples. ## Best Practices - Configure API keys via environment variables ## Troubleshooting See the GitHub repository for troubleshooting guides. ## Related Skills - context7-auto-research, exa-search, firecrawl-scraper, codex-review --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior API design decisions, database schema choices, and error handling patterns. Cache API response templates for consistent error formatting. ```bash # Check for prior backend/API context before starting python3 execution/memory_manager.py auto --query "API design patterns and architecture decisions for Tavily Web" ``` ### Storing Results After completing work, store backend/API decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "API architecture: REST with HATEOAS, JWT auth, rate limiting at 100 req/min per tenant" \ --type decision --project <project> \ --tags tavily-web backend ``` ### Multi-Agent Collaboration Share API contract changes with frontend agents so they update their client code, and with QA agents for test coverage. ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \ --project <project> ``` ### Agent Team: Code Review After implementation, dispatch `code_review_team` for two-stage review (spec compliance + code quality) before merging. <!-- AGI-INTEGRATION-END -->--- name: tavily-web-4ef753bcc884 description: "Web search, content extraction, crawling, and research capabilities using Tavily API" risk: unknown source: community date_added: "2026-02-27" --- # tavily-web ## Overview Web search, content extraction, crawling, and research capabilities using Tavily API ## When to Use - When you need to search the web for current information - When extracting content from URLs - When crawling websites ## Installation ```bash npx skills add -g BenedictKing/tavily-web ``` ## Step-by-Step Guide 1. Install the skill using the command above 2. Configure Tavily API key 3. Use naturally in Claude Code conversations ## Examples See [GitHub Repository](https://github.com/BenedictKing/tavily-web) for examples. ## Best Practices - Configure API keys via environment variables ## Troubleshooting See the GitHub repository for troubleshooting guides. ## Related Skills - context7-auto-research, exa-search, firecrawl-scraper, codex-review --- <!-- AGI-INTEGRATION-START --> ## AGI Framework Integration > **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)** > Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills) ### Memory-First Protocol Retrieve prior API design decisions, database schema choices, and error handling patterns. Cache API response templates for consistent error formatting. ```bash # Check for prior backend/API context before starting python3 execution/memory_manager.py auto --query "API design patterns and architecture decisions for Tavily Web" ``` ### Storing Results After completing work, store backend/API decisions for future sessions: ```bash python3 execution/memory_manager.py store \ --content "API architecture: REST with HATEOAS, JWT auth, rate limiting at 100 req/min per tenant" \ --type decision --project <project> \ --tags tavily-web backend ``` ### Multi-Agent Collaboration Share API contract changes with frontend agents so they update their client code, and with QA agents for test coverage. ```bash python3 execution/cross_agent_context.py store \ --agent "<your-agent>" \ --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \ --project <project> ``` ### Agent Team: Code Review After implementation, dispatch `code_review_team` for two-stage review (spec compliance + code quality) before merging. <!-- AGI-INTEGRATION-END -->
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.