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Found 1,983 Skills
Saves, retrieves, and searches structured context (reasoning, decisions, trade-offs) behind AI-generated code, linked to git commits. Use when the developer says "save this session with GitWhy", asks about past context or decisions, or wants to push context to a PR. Also use after significant implementation work, debugging sessions, or architecture decisions.
Invoke MassGen's multi-agent system for general-purpose tasks, evaluation, planning, or spec writing. Use whenever you want multiple AI agents to tackle a problem, need outside perspective on your work, a thoroughly refined plan, or a well-specified set of requirements. Perfect for: writing, code generation, research, design, analysis, pre-PR review, complex project planning, feature specification, architecture decisions, or any task where multi-agent iteration produces better results than working alone.
Use when designing system architecture, choosing databases, structuring projects, selecting tech stacks, designing APIs, planning caching strategies, or organizing a codebase for scale
Identify and fix common testing mistakes across unit, integration, and E2E test suites. Use when tests are flaky, brittle, over-mocked, order-dependent, slow, poorly named, or providing false confidence. Use for "test smell", "fragile test", "flaky test", "over-mocking", "test anti-pattern", or "skipped tests". Do NOT use for writing new tests from scratch (use test-driven-development), refactoring architecture (use systematic-refactoring), or performance profiling without a specific test quality symptom.
Execute a micro-level NestJS code quality audit. Validates code against live GitHub standards for testing, architecture, DTO validation, error handling, and code implementation. Produces a detailed violations report with prioritized action plan. Use when the user asks to check NestJS code quality, validate best practices, or review backend code standards. Triggers on: 'nestjs best practices', 'backend code quality', 'code review', 'nestjs standards', 'dto validation', 'error handling review'.
Expert knowledge for Azure App Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing plans/ASE, configuring auth/TLS/Key Vault, CI/CD slots, VNet integration, or managed identity access, and other Azure App Service related development tasks. Not for Azure Functions (use azure-functions), Azure Container Apps (use azure-container-apps), Azure Spring Apps (use azure-spring-apps), Azure Static Web Apps (use azure-static-web-apps).
Execute a micro-level React code quality audit. Validates code against live GitHub standards for testing, component architecture, hooks patterns, state management, performance, and TypeScript. Produces a detailed violations report with prioritized action plan. Use when the user asks to check React code quality, validate best practices, or review frontend code standards. Triggers on: 'react best practices', 'react code quality', 'component review', 'hooks review', 'react standards', 'frontend code quality'.
Facilitates conversational discovery to create Architectural Decision Records (ADRs) for functional requirements covering CLI, REST/HTTP APIs, or both. Use when the user wants to document command-line or HTTP service architecture, capture functional requirements, create ADRs for CLI or API projects, or design interfaces with documented decisions. Part of the skills-for-java project
Product design, feature planning, and technical architecture for new projects. Explores the problem space through deep requirements gathering, suggests creative features, makes architecture decisions, and produces a structured MVP plan with scope boundaries, a future roadmap, and a deliverable tracker. Uses plan mode for deliberate thinking before writing any artifacts. Use when the user says "mvp", "plan a product", "design features", "what should I build", "feature planning", "scope an MVP", or describes a product they want to plan.
This skill should be used when the user asks to "create a blueprint", "blueprint this feature", "plan this implementation", "make a plan", "create an implementation plan", "design the architecture", "design this feature", or "break this down into steps".
Analyzes Rails code quality, architecture, and patterns without modifying code. Use when the user wants a code review, quality analysis, architecture audit, or when user mentions review, audit, code quality, anti-patterns, or SOLID principles. WHEN NOT: Actually implementing fixes (use specialist agents), writing new tests (use rspec-agent), or generating new features.
Coaches end-to-end ML system design interviews covering inference pipelines, recommendation systems, RAG, feature stores, and monitoring. Use for L6+ design rounds, ML architecture whiteboarding, system design practice, serving tradeoff analysis. Activate on "ML system design", "ML interview", "recommendation system design", "RAG architecture", "feature store design", "model serving". NOT for coding interviews, behavioral questions, ML theory quizzes, or paper implementations.