GitHub
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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Testing & security AI Skills
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Categories: Testing & security
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GitHub
review-architecture
Review, create, or update docs/architecture.md to match organizational standards with accurate technical content
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GitHub
analyze-db
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.
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GitHub
planning
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....
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GitHub
methodical-debugging
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...
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GitHub
plan-review
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...
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GitHub
strategy-backtest
Backtest a strategy and compare performance against the baseline
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GitHub
monte-carlo
Run Monte Carlo simulations on a trading strategy to verify robustness.
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GitHub
verify-deploy
Full system verification loop for deployment readiness
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GitHub
publish-release
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.
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GitHub
refactoring
Safe refactoring patterns and code improvement strategies. Auto-triggers when cleaning up code, reducing complexity, or improving maintainability.
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GitHub
cicd-automation
CI/CD pipeline design, GitHub Actions, and deployment automation. Auto-triggers when setting up pipelines, automating deployments, or configuring workflows.
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GitHub
add-dep
Safely install a Python package, verify it imports correctly, and pin it to requirements.txt
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GitHub
debugging
Systematic debugging strategies and error analysis patterns. Auto-triggers when investigating bugs, analyzing stack traces, or troubleshooting issues.
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GitHub
testing-patterns
Testing strategies, patterns, and best practices across test types. Auto-triggers when writing tests, setting up test infrastructure, or improving test coverage.
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GitHub
async-patterns
Asynchronous programming patterns for Python, JavaScript/TypeScript, and other languages. Auto-triggers when implementing concurrent code, handling promises, or optimizing I/O operations.
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GitHub
k8s-operations
Kubernetes operations, deployment patterns, and cloud-native best practices. Auto-triggers when working with containers, K8s manifests, or cloud infrastructure.
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GitHub
create-test
Analyze a Java class and scaffold a JUnit 5 test with proper structure and assertions
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GitHub
api-design
RESTful API and GraphQL design best practices. Auto-triggers when designing endpoints, handling HTTP methods, or structuring API responses.
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GitHub
autonomous-loop
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...
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GitHub
tdd
Test-Driven Development patterns and red-green-refactor workflow. Auto-triggers when writing tests first, implementing TDD, or discussing test coverage.
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GitHub
observability
Observability patterns including logging, metrics, tracing, and alerting. Auto-triggers when implementing monitoring, debugging production issues, or setting up alerts.
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GitHub
security-review
Security audit patterns and OWASP Top 10 vulnerability detection. Auto-triggers when reviewing code for security, handling authentication, or processing user input.
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GitHub
post-review
Review and lightly edit a single blog post under _posts/ for prose quality and source hygiene, without changing code examples or post structure.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.