Discover lifestyle debugging skills, compare source repositories and read the instructions for each workflow.
Debug NestJS issues systematically. Use when encountering dependency injection errors like "Nest can't resolve dependencies", module import issues, circular dependencies between services or modules, guard and i...
Debug Rails issues systematically. Use when encountering ActiveRecord errors like RecordNotFound, routing issues, N+1 query problems detected by Bullet, asset pipeline issues, migration failures, gem conflicts,...
Debug Laravel applications systematically with this comprehensive troubleshooting skill. Covers class/namespace errors, database SQLSTATE issues, route problems (404/405), Blade template errors, middleware issu...
Debug Spring Boot issues systematically. Use when encountering bean errors like NoSuchBeanDefinitionException, circular dependency issues, application startup failures, JPA/Hibernate problems including LazyInit...
Debug ASP.NET Core and .NET applications with systematic diagnostic approaches. This skill covers troubleshooting dependency injection container errors, middleware pipeline issues, Entity Framework Core query p...
4-phase debugging process (Observe, Hypothesize, Test, Fix) for complex issues. Use when debugging fails, investigating flaky tests, tracking root causes, or facing mysterious bugs.
Explore a codebase with 3 parallel Haiku agents and create documentation. Use when user says "learn [repo]", "explore codebase", "study this repo", or wants to understand a project.
Database query optimization strategies. Use when improving query performance.
Coverage thresholds and reporting. Use when analyzing and improving test coverage.
Gas optimization techniques and patterns for efficient Solidity smart contracts. Use when optimizing contract gas costs or reviewing code for efficiency improvements.
Bundle size optimization including tree shaking, code splitting, and dependency analysis. Use when reducing bundle size.
Test coverage tracking and improvement strategies. Use when analyzing test coverage.
Performance benchmarking techniques and analysis. Use when measuring performance.
Performance optimization strategies. Use ONLY after profiling identifies bottlenecks.
React performance optimization including memoization, code splitting, and lazy loading. Use when optimizing React applications.
Test coverage analysis and improvement strategies for Solidity contracts. Use when analyzing or improving test coverage.
Code quality standards, linting rules, and best practices for clean Solidity code. Use when reviewing code quality or establishing project standards.
React Native performance optimization techniques. Use when optimizing app performance.
pprof usage and performance analysis. Use when profiling applications.
Diagnostics for Modbus in Home Assistant custom components—framing/extra-data errors, unit_id mismatches, pacing/timeouts, write contention, and logging patterns.
Testing patterns with Bun test runner, coverage thresholds, mocking, and CI/CD integration. Use when writing tests, organizing test files, or setting up quality gates.
Go static analysis. Routes to specific tools.
Benchmark patterns for performance testing
Run BenchmarkDotNet performance tests and analyze results. Use when the user mentions benchmarks, performance testing, mining speed, or wants to compare performance.
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.