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Found 5,065 Skills
Load PROACTIVELY when task involves user identity, login, or access control. Use when user says "add authentication", "set up login", "add OAuth", "protect these routes", "implement RBAC", or "add sign-up". Covers session management, JWT tokens, OAuth2 flows, password reset, email verification, protected route middleware, role-based access control, and security hardening (CSRF, rate limiting, token rotation).
Load PROACTIVELY when task involves application state, data fetching, or form handling. Use when user says "manage state", "add data fetching", "set up Zustand", "handle form validation", or "add React Query". Covers server state (TanStack Query with caching, optimistic updates), client state (Zustand stores), form state (React Hook Form with Zod validation), URL state (search params, routing), and choosing between state solutions.
Create and edit presentation slides using Slidev framework when user requests slides, presentations, or deck modifications
Observability patterns for metrics, logging, distributed tracing, and error tracking. Trigger: When setting up monitoring, when implementing logging, when adding error tracking, when configuring distributed tracing, when building health checks, when creating dashboards.
REST and GraphQL API design patterns. Covers HTTP methods, status codes, versioning, pagination, error handling, schema design, mutations, and API best practices. Trigger: When designing APIs, when creating REST endpoints, when implementing GraphQL schemas, when handling API versioning, when designing pagination.
Database schema migrations and change management. Covers Prisma migrations, schema versioning, rollback strategies, and safe production deployments. Trigger: When creating database migrations, when modifying schemas, when deploying database changes, when handling rollbacks.
Use this for designing complex workflows, scheduled jobs, and task orchestration (Airflow, Prefect, Temporal, Cron, Celery).
Use this when designing APIs (REST or GraphQL), defining routes, request/response schemas, or writing OpenAPI/Swagger specs.
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.
Use this for SQL queries, database schema design, ETL pipelines, data transformations (pandas/Spark), and data validation.
Comprehensive Python engineering guidelines for writing production-quality Python code. This skill should be used when writing Python code, performing Python code reviews, working with Python tools (uv, ruff, mypy, pytest), or answering questions about Python best practices and patterns. Applies to CLI tools, AI agents (langgraph), and general Python development.
Specialized skill for implementing proper error handling, logging, user-friendly error messages, and error recovery strategies. Use when implementing error handling in APIs, components, or when debugging error issues.