Agents
AI agents and automation
code-explorer
by troykelly
Use when asked to trace existing codepaths or explicitly asked to run the code-explorer subagent.
autonomous-operation
by troykelly
Use when starting any work session - establishes autonomous operation mode, overriding token limits and time pressure to work until goal is achieved
ms-agent-framework-docs
by jasonz-ncc42
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
Add AGENTS.md Within Directory
by strativd
Generate an optimized AGENTS.md file after analyzing the directory/codebase for context.
create-beads-orchestration
by AvivK5498
Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.
silent-failure-hunter
by troykelly
Use when asked to detect silent failures/weak error handling or explicitly asked to run the silent-failure-hunter subagent.
agent-memory-mcp
by ngxtm
"A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions)."
agentform
by AvivK5498
Create and debug Agentform AI agent configurations (.af files). Use when: (1) Creating new agentform projects or workflows (2) Debugging agentform syntax errors (3) Adding MCP server integrations (4) Configuring agents, models, policies, or capabilities (5) Writing workflow steps with routing and human approval Agentform is "Infrastructure as Code for AI agents" - declarative .af files define agents, workflows, and policies.
etherscan-api
by sablier-labs
This skill should be used when the user asks to "check ETH balance", "query ERC-20 balance", "get wallet balance", "check token holdings", "query Etherscan", or mentions Etherscan API, blockchain balance queries, or multi-chain balance lookups.
apex-os-bad-boy
by fratilanico
"The ultimate agent productivity system - 45+ skills with intelligent recommendations, risk-based planning levels, and systematic workflows for maximum efficiency."
agent-manager-skill
by ngxtm
"Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling."
langchain-docs
by jasonz-ncc42
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
dispatching-parallel-agents
by hxk622
"当面临 2+ 个独立任务时使用，这些任务可以并行处理，无共享状态或顺序依赖。Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies. Dispatch one agent per independent problem domain."
agent-evaluation
by ngxtm
"Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring\u2014where even top agents achieve less than 50% on re..."
ms-agent-framework-docs
by jasonz-ncc42
Local Microsoft Agent Framework documentation reference. Use when asked about Microsoft Agent Framework, building AI agents in .NET or Python, MCP servers/clients, durable agents, agent tools, Teams/WebChat adapters, or agent-to-agent communication.
langchain-docs
by jasonz-ncc42
Local LangChain AI documentation reference. Use when asked about LangChain, LangGraph, agents, chains, prompts, memory, tools, retrieval, RAG, vector stores, document loaders, or building LLM applications.
Agent Framework Azure Hosted Agents
by ngxtm
Unified multi-agent skill system for AI coding assistants (Claude Code, Cursor, Copilot, Gemini) with 414+ skills, 38 agents, and 57 commands. Features smart tech detection, per-project installation, and auto-sync from upstream sources.
security-reviewer
by troykelly
Use when explicitly asked to run the security-reviewer subagent or when another skill requires the security-reviewer agent card.
agent-memory-systems
by ngxtm
"Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector s..."
castari-deploy
by castari
This skill should be used when the user asks to "deploy to castari", "deploy my agent", "deploy agent to production", "castari deploy", "push agent to castari", "ship my agent", "set up castari", or needs help with Castari CLI installation, authentication, agent scaffolding, or deployment to cloud sandboxes.
spec-reviewer
by EnzeD
Review and challenge spec documents against the project's codebase, best practices, and guidelines. Spawns a team of parallel agents to analyze consistency, code reuse, performance, scope, and testability. Use when the user says "challenge", "review spec", "check spec", "audit spec", or asks to validate a spec file against the codebase. Triggers on spec file paths (e.g., specs/037-hover-brackets-info.md).
multi-agent-ai-projects
by ilude
Guidelines for multi-agent AI and learning projects with lesson-based structures. Activate when working with AI learning projects, experimental directories like .spec/, lessons/ directories, STATUS.md progress tracking, or structured learning curricula with multiple modules or lessons.
agent-debugger
by AvivK5498
Systematic debugging toolkit for AI agentic workflows in customer support. Use when diagnosing issues with AI agents including wrong responses, tool/function calling problems, conversation loops, stuck states, or performance/latency issues. Works with any framework (LangChain, custom agents, Claude API) and accepts conversation logs, API logs, tool execution logs, and agent configurations.
agent-tool-builder
by ngxtm
"Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessar..."