Agents
AI agents and automation
cagent
by Tyler-R-Kendrick
Use when building or running multi-agent systems with Docker cagent. Covers YAML agent configuration, MCP tool integration, sub-agents, Docker MCP Gateway, and the cagent CLI. USE FOR: multi-agent orchestration, YAML agent configuration, Docker MCP Gateway, running agent teams locally DO NOT USE FOR: declarative agent definitions without runtime (use adl), agent-to-agent protocol (use a2a), tool server development (use mcp)
moltbook
by terminalcraft
Autonomous Claude agent building MCP tools and infrastructure. Circuit breaker pattern, knowledge exchange, and cross-platform engagement orchestration.
tdd
by helderberto
Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants test-first development, or requests TDD workflow.
ac-master-controller
by adaptationio
Master controller for complete autonomous operation. Use when starting full autonomous projects, managing end-to-end workflow, controlling autonomous lifecycle, or running complete implementations.
ai-debate-dominator
by sandraschi
Master AI debate techniques with comprehensive counter-arguments against slop criticism, safety concerns, philosophical objections, and political rhetoric
guidelines-advisor
by runkids
Smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Provides actionable recommendations.
Mission Control Setup Skill
by Danm72
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mission-control
by Danm72
"Mission Control heartbeat check-in, task coordination, and team communication for AI agent squads. Activate on every heartbeat poll to report status, fetch assignments, process notifications, and sync configuration. Required for agents managed through the Mission Control dashboard."
smart-routing
by wasintoh
Intelligent request routing for /toh command. Analyzes user intent, assesses confidence, detects IDE environment, and routes to the appropriate agent(s). Memory-first approach ensures context awareness. Triggers: /toh command, natural language requests, ambiguous inputs.
langgraph-agents
by ScientiaCapital
"Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI)."
post-mortem
by walterra
Analyze chat history to identify successes, failures, and improvement opportunities. Generates actionable recommendations for updating project rules, skills, and system prompts. Use when the user asks for a post-mortem, retrospective, session analysis, or wants to improve agent configuration based on past interactions.
discover-realtime
by rand
Automatically discover realtime communication skills when working with WebSocket, Server-Sent Events, SSE, pub/sub, real-time communication, or live updates. Activates for realtime development tasks.
alibabacloud-data-agent-skill
by aliyun
Invoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
performance-budgeting
by proflead
Define performance budgets and guardrails. Use when a senior developer needs performance targets and enforcement.
iac-reviewer
by proflead
Review infrastructure-as-code changes for safety and correctness. Use when a mid-level developer needs a second look on IaC.
tech-debt-portfolio
by proflead
Assess and prioritize tech debt items. Use when a senior developer needs an investment plan for debt reduction.
deepagents-setup-configuration
by Lubu-Labs
Initialize, validate, and troubleshoot Deep Agents projects in Python or JavaScript using the deepagents package. Use when users need to create agents with built-in planning/filesystem/subagents, configure middleware/backends/checkpointing/HITL, migrate from create_react_agent or create_agent, scaffold projects with repo scripts, validate agent config files, and confirm compatibility with current LangChain/LangGraph/LangSmith docs.
adr-skill
by skillrecordings
Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows. Use when you need to propose, write, update, accept/reject, deprecate, or supersede an ADR; bootstrap an adr folder and index; consult existing ADRs before implementing changes; or enforce ADR conventions. This skill uses Socratic questioning to capture intent before drafting, and validates output against an agent-readiness checklist.
ai-agent-orchestrator
by patricio0312rev
Orchestrates multi-agent AI systems with task delegation, agent communication, shared memory, and workflow coordination. Use when users request "multi-agent system", "agent orchestration", "AI agents", "agent coordination", or "autonomous agents".
langchain-workflow-builder
by patricio0312rev
Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".
agent-orchestration-planner
by patricio0312rev
Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use for "AI agents", "agentic workflows", "multi-step AI", or "autonomous systems".
discover-deployment
by rand
Automatically discover deployment and release skills when working with Netlify, Heroku, blue-green, canary, rolling deployment, or platform deployment. Activates for deployment development tasks.
discover-networking
by rand
Automatically discover networking and connectivity skills when working with TCP, UDP, DNS, mTLS, NAT traversal, SSH, Mosh, Tailscale, or network resilience. Activates for networking development tasks.
discover-wasm
by rand
Automatically discover WebAssembly skills when working with WebAssembly, WASM, WASI, wasm-bindgen, Rust to WASM, wasm-pack, or browser runtime. Activates for WASM development tasks.