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Found 1,993 Skills
Choose and implement Clay validated architecture blueprints for different scales. Use when designing new Clay integrations, choosing between monolith/service/microservice architectures, or planning migration paths for Clay applications. Trigger with phrases like "clay architecture", "clay blueprint", "how to structure clay", "clay project layout", "clay microservice".
API Gateway patterns for routing, authentication, rate limiting, and service composition in microservices architectures. Use when implementing API gateways, building BFF layers, or managing service-to-service communication at scale.
Audit project documentation against the codebase and fix drift. Run before PRs or after major changes. Compares documented architecture, test counts, and file paths against actual state.
Apply production-ready LangChain SDK patterns for chains, agents, and memory. Use when implementing LangChain integrations, refactoring code, or establishing team coding standards for LangChain applications. Trigger with phrases like "langchain SDK patterns", "langchain best practices", "langchain code patterns", "idiomatic langchain", "langchain architecture".
Use when the user asks about internal code, implementations, patterns across repositories, or needs to understand how something is built. Triggers on "how is X implemented", "where is the code for", "find the implementation of", "what repos contain", "who wrote the code for", or code architecture questions about internal systems.
Complete fullstack development mastery covering modern web architectures, automation tools, AI integration, and production deployment practices
Guide feature development for React applications with architecture focus. Covers Zustand/Redux patterns, IndexedDB usage, component systems, lazy loading strategies, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.
Enterprise Java development skill covering Spring ecosystem, microservices, design patterns, performance optimization, and Java best practices. Use this skill when building enterprise Java applications, working with Spring Boot, implementing microservices, or need guidance on Java architecture and performance tuning.
Guide feature development for full-stack applications with architecture focus. Covers Next.js App Router patterns, NestJS backend services, database models, data workflows, and seamless integration. Use when adding new features, refactoring existing code, or planning major changes.
Homelab infrastructure management with Terragrunt, OpenTofu, and Terraform patterns. Use when: (1) Planning or applying infrastructure changes to dev/integration/live clusters, (2) Adding/modifying machines in inventory.hcl, (3) Creating or updating units and stacks, (4) Working with feature flags, (5) Running validation (fmt, validate, test, plan), (6) Understanding the units→stacks→modules architecture, (7) Working with HCL configuration files, (8) Bare-metal Kubernetes provisioning or Talos configuration. Triggers: "terragrunt", "terraform", "opentofu", "tofu", "infrastructure code", "IaC", "inventory.hcl", "networking.hcl", "HCL files", "add machine", "add node", "cluster provisioning", "bare metal", "talos config", "task tg:", "infrastructure plan", "infrastructure apply", "stacks", "units", "modules architecture" Always use task commands (task tg:*) instead of running terragrunt directly.
Galaxy project development conventions and skill routing guide. ALWAYS load this skill when working in a Galaxy codebase. Routes to appropriate skills: use /galaxy-db-migration for database/Alembic/schema changes, /galaxy-api-endpoint for creating REST API endpoints/FastAPI routers, /galaxy-testing for running or writing tests, /galaxy-linting for code formatting/linting/type checking. Use galaxy-explorer agent for codebase architecture questions.
This skill analyzes code for design quality improvements across 8 dimensions: Naming, Object Calisthenics, Coupling & Cohesion, Immutability, Domain Integrity, Type System, Simplicity, and Performance. Ensures rigorous, evidence-based analysis by: (1) Understanding code flow first via implementation-analysis protocol, (2) Systematically evaluating each dimension with specific criteria, (3) Providing actionable findings with file:line references. Triggers when users request: code analysis, design review, refactoring opportunities, code quality assessment, architecture evaluation.