run-linters
Run linters after code changes to verify code quality. Use this skill after completing code modifications to catch and fix any linting issues.
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Run linters after code changes to verify code quality. Use this skill after completing code modifications to catch and fix any linting issues.
Review, create, or update docs/architecture.md to match organizational standards with accurate technical content
Analyze a project and generate a .claude/DB.md file with complete database schema documentation. Auto-detects language/framework. Supports MySQL, PostgreSQL, MongoDB, Elasticsearch, and Redis.
Expert technical analyst for comprehensive codebase analysis and strategic implementation planning. Use when planning features, designing architecture, analyzing complex tasks, or when you need a detailed plan....
Systematic debugging approach using parallel investigation and test-driven validation. Use when debugging issues, when stuck in a loop of trying different fixes, or when facing complex bugs that resist standard...
Expert technical reviewer for implementation plans. Reviews plans for correctness, completeness, and technical accuracy. Validates libraries, APIs, and approaches. Outputs feedback as markdown to the specified...
Backtest a strategy and compare performance against the baseline
Run Monte Carlo simulations on a trading strategy to verify robustness.
Full system verification loop for deployment readiness
Publish a new release to GitHub Packages. Use when ready to release, after tests pass and version is updated. Creates git tag and pushes to trigger GitHub Actions.
CI/CD pipeline design, GitHub Actions, and deployment automation. Auto-triggers when setting up pipelines, automating deployments, or configuring workflows.
Safely install a Python package, verify it imports correctly, and pin it to requirements.txt
Testing strategies, patterns, and best practices across test types. Auto-triggers when writing tests, setting up test infrastructure, or improving test coverage.
Kubernetes operations, deployment patterns, and cloud-native best practices. Auto-triggers when working with containers, K8s manifests, or cloud infrastructure.
Analyze a Java class and scaffold a JUnit 5 test with proper structure and assertions
RESTful API and GraphQL design best practices. Auto-triggers when designing endpoints, handling HTTP methods, or structuring API responses.
Autonomous development loop patterns for iterative self-improvement. Auto-triggers when implementing features autonomously, fixing bugs in a loop, or running until completion. Based on frankbria/ralph-claude-co...
Observability patterns including logging, metrics, tracing, and alerting. Auto-triggers when implementing monitoring, debugging production issues, or setting up alerts.
Review and lightly edit a single blog post under _posts/ for prose quality and source hygiene, without changing code examples or post structure.
Perform comprehensive code reviews with actionable feedback. Use when reviewing pull requests, checking code quality, analyzing changes, or when the user mentions "review", "PR", "pull request", "check code", "...
Create domain entities following DDD principles. Use when the user wants to create a new entity, add a domain model, implement domain logic, or mentions "entity", "domain", "model", "aggregate".
Create domain entities following DDD principles. Use when the user wants to create a new entity, add a domain model, implement domain logic, or mentions "entity", "domain", "model", "aggregate".
Guide for implementing Clean Architecture patterns in .NET projects. Use when creating new features, refactoring code structure, or when the user mentions "clean architecture", "layers", "domain-driven", "CQRS"...
Generate code documentation, API docs, and technical guides. Use when documenting code, creating API documentation, writing technical specs, or when the user mentions "document", "docs", "README", "API docs", "...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。