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.
174 skills found
Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.
MPC-based multi-chain wallet SDK and CLI for AI agents and developers. Perform secure, threshold-signed crypto operations (send, swap, sign) across 40+ blockchains without seed phrases.
An AI-powered skill that automatically retrieves relevant project context from your RAG knowledge base for complex coding tasks.
Context Engineering agent skill to initialize, generate, and execute comprehensive implementation blueprints (PRPs) for one-pass software development.
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
A professional UI/UX design guide for web and mobile. Features 50+ styles, 99 UX guidelines, and 97 color palettes. Supports multi-stack recommendations for React, Vue, Next.js, and more.
Standardized skill for Claude Code agents to dynamically query OpenRouter model recommendations and metadata via the Claudish CLI.
Rust language server (rust-analyzer) providing code intelligence, real-time diagnostics, and refactoring support for .rs projects.
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Orchestrate Codex CLI for efficient parallel coding, task automation, and session-managed workflows to optimize token usage and development speed.
Automated LSP detection, installation, and configuration for intelligent code analysis, navigation, and diagnostics.
Aggressively prune grammatical scaffolding and filler text from inputs to optimize LLM token usage while retaining core semantic content.