tavily-web
Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
609 skills found
Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.
Expert-level Phaser 3 game development agent. Handles scene architecture, Arcade/Matter physics, asset pipelines, sprite animations, and performance optimization for 2D web games.
Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.
Design and document REST or GraphQL APIs, including endpoint definitions, pagination, filtering, versioning, and OpenAPI/Swagger specifications.
Expert guidance for Logseq plugin development, specifically optimized for the new database architecture, API integration, and property management.
Proven patterns for extracting, caching, and processing analytics data from GA4 and GSC using MCP servers.
Perform network protocol reverse engineering, including packet capture, traffic analysis, protocol dissection, and custom format documentation.
A CTF solver agent that performs triage on challenges, identifies the vulnerability category, and routes tasks to specialized skills for web, pwn, crypto, forensic, and reverse engineering analysis.
Manage, sync, and apply AI agent skills, kits, and presets using the Skills Hub CLI. Streamline your project setup by browsing catalogs, inspecting configurations, and deploying curated instruction policies and skill packages.
Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.
6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.