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Found 11,172 Skills
Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments with MLflow - framework-agnostic ML lifecycle platform
Reviews React Flow code for anti-patterns, performance issues, and best practices. Use when reviewing code that uses @xyflow/react, checking for common mistakes, or optimizing node-based UI implementations.
GitOps workflows and patterns using ArgoCD and Flux for declarative Kubernetes deployments. Use when implementing CI/CD for Kubernetes, managing multi-environment deployments, or adopting declarative infrastructure practices.
Guides the agent through building LLM-powered applications with LangChain and stateful agent workflows with LangGraph. Triggered when the user asks to "create an AI agent", "build a LangChain chain", "create a LangGraph workflow", "implement tool calling", "build RAG pipeline", "create a multi-agent system", "define agent state", "add human-in-the-loop", "implement streaming", or mentions LangChain, LangGraph, chains, agents, tools, retrieval augmented generation, state graphs, or LLM orchestration.
Enforces strict refactoring workflow for TypeScript/React codebases. Use when refactoring files with multiple exports, splitting components/hooks/utils, moving inline types to types/, and enforcing post-refactor quality gates.
Handle structured co-authoring of professional documentation. Use for proposals, technical specs, and RFCs. Use proactively when a collaborative drafting process (Gathering -> Refinement -> Testing) is needed. Examples: - user: "Draft a technical RFC for the new API" -> follow Stage 1 context gathering - user: "Refine the introduction of this proposal" -> use iterative surgical edits - user: "Test if this document is clear for readers" -> run reader testing workflow
General Bugfix Workflow Knowledge Base, including TDD process, output format specifications, confidence scoring standards, and general best practices. Applicable to all tech stacks (backend/frontend/e2e).
Deterministic AI engineering workflow with multi-agent teams. Triggers: architect mode, consistency sweep, pipeline audit, team workflow
Test-Driven Development workflow specialist using RED-GREEN-REFACTOR cycle for test-first software development. Use when developing new features from scratch, creating isolated modules, or when behavior specification drives implementation. Do NOT use for refactoring existing code (use moai-workflow-ddd instead) or when behavior preservation is the primary goal.
Guides subagent coordination through implementation workflows. Use when orchestrating multiple agents, managing workflow phases, or determining autonomous execution mode. Defines scale determination, document requirements, and stop points.
Create Dockerfiles, docker-compose configurations, and container workflows for Python projects with UV. Use when containerizing applications, setting up development environments, or deploying with Docker.
Implement a feature or fix based on a Linear issue