Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
474 skills found
Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.
SPARC methodology for multi-agent development: systematic Specification, Pseudocode, Architecture, Refinement, and Completion workflows via Claude Flow orchestration.
Production-ready Go development support: concurrency patterns, idiomatic error handling, interface design, testing with testify, and Go best practices for scalable backend services.
Intelligent research agent that automatically routes queries between fast web search, deep multi-source synthesis, and academic database lookups.
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
Map the attack surface of smart contract codebases by identifying and categorizing state-changing entry points.
Unified Python CLI for Tavily AI operations including web search, URL extraction, site crawling, link mapping, and automated deep research reports.
Evidence-based debugging for Python, Node.js, and Java applications using runtime execution traces and diagnostic MCP tools.
Guidance on frontend state management, including global stores like Zustand/Pinia, server state via TanStack Query, and URL state handling.
Enforces a strict evidence-based debugging workflow using structured observation, hypothesis testing, and causality validation to eliminate speculation in technical investigations.
Autonomous recursive execution engine for indiiOS that manages task completion, state verification, and error handling.
Manage, run, and update JS framework benchmarks for the Gea framework, including reporting, HTML result generation, and performance comparisons.