Claude Skills

Use when validating GraphQL operations/documents against a schema, checking query depth, complexity, or fragment usage.

Use when jest testing patterns including unit tests, mocks, spies, snapshots, and assertion techniques for comprehensive test coverage.

Use when next.js App Router with layouts, loading states, and streaming. Use when building modern Next.js 13+ applications.

Use when nestJS testing with unit tests, integration tests, and e2e tests. Use when building well-tested NestJS applications.

Use when nestJS dependency injection with providers, modules, and decorators. Use when building modular NestJS applications.

Use when applying Checkstyle built-in checks for Java code including naming conventions, code metrics, and suppressions.

Use when building SwiftUI views, managing state with @State/@Binding/@ObservableObject, or implementing declarative UI patterns in iOS apps.

Use when nestJS guards and interceptors for auth, logging, and transformation. Use when implementing cross-cutting concerns.

Use when creating or updating technical blueprint documentation for new features, API changes, or architectural modifications. Always use search_blueprints first to avoid duplication, then write_blueprint with proper structure.

Use when configuring Clippy for Rust projects with TOML config, lint groups, attributes, and workspace setup.

Use when applying Phoenix Framework best practices including context design, controller patterns, and application architecture. Use when building Phoenix applications.

Use when understanding AI-DLC 2026 methodology fundamentals. Covers core principles, iteration patterns, hat-based workflows, and the philosophy of human-AI collaboration in software development.

Use when managing state and side effects in Ink applications using React hooks for terminal UIs.

Use when deciding between HITL, OHOTL, and AHOTL modes in AI-DLC workflows. Covers decision frameworks for human involvement levels and mode transitions.

Use when applying Biome's linting capabilities, rule categories, and code quality enforcement to JavaScript/TypeScript projects.

Handle HTTP requests with Phoenix controllers including actions, parameters, rendering, flash messages, and redirects

Use when implementing GraphQL resolvers with resolver functions, context management, DataLoader batching, error handling, authentication, and testing strategies.

Use when next.js data fetching patterns including SSG, SSR, and ISR. Use when building data-driven Next.js applications.

Use when implementing or understanding backpressure in AI-DLC workflows. Covers quality gates, Stop hooks, and how automated enforcement guides AI behavior toward quality.

Use when jUnit extensions including custom extensions, rules, and conditional test execution.

Use when jUnit fundamentals including annotations, assertions, and test lifecycle for Java testing.

Use when defining data structures using Ecto schemas including fields, associations, embedded schemas, and schema metadata. Use for modeling domain data in Elixir applications.

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