Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
465 skills found
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.
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.
A stage-driven AI writing agent for structured, repeatable, and reversible long-form content production with human-in-the-loop workflows.
Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.
Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.
Create and configure Hookify rules to watch for specific patterns in files, bash commands, or user prompts.
Systematically extract insights, decisions, and constraints from research documents, technical papers, and architectural design files.
Generate professional MATLAB plain text Live Scripts (.m files) with rich text documentation, mathematical equations, and visualization code following specific formatting standards.
Build systematic evaluation frameworks for AI agents using multi-dimensional rubrics, LLM-as-a-judge, and regression testing to measure performance, quality, and context engineering effectiveness.
Framework for multi-agent collaboration using the Google A2A protocol. Enables messaging, task delegation, and cross-agent coordination for CLI-based AI tools.
Create and edit Obsidian Bases (.base files) with database-like views, complex filters, custom formulas, and data summaries.