Discover development debugging skills, compare source repositories and read the instructions for each workflow.
Targeted query capabilities for machine-readable codebase documentation with cross-reference tracking, call graph analysis, and workflow automation. Enables fast lookups of classes, functions, dependencies, and...
Comprehensive pytest testing and debugging framework. Use when running tests, debugging failures, fixing broken tests, or investigating test errors. Includes systematic investigation workflow with external AI t...
Integrates Lighthouse CI for automated performance testing, Core Web Vitals tracking, and regression detection in CI/CD pipelines. Use when user asks to "setup Lighthouse CI", "add performance testing", "monito...
Analyzes experimental results comparing code-execution vs direct-MCP approaches for any task. Extracts performance metrics, execution logs, and workspace outputs from zip archives to generate detailed compariso...
Specialized reverse engineering analysis workflows for binary analysis, pattern recognition, and vulnerability assessment
Expert knowledge of Godot performance optimization, profiling, bottleneck identification, and optimization techniques. Use when helping improve game performance or analyzing performance issues.
Expert knowledge of Godot debugging, error interpretation, common bugs, and troubleshooting techniques. Use when helping fix Godot errors, crashes, or unexpected behavior.
System diagnostics, verification, and troubleshooting for Badger 2350. Use when checking firmware version, verifying installations, diagnosing hardware issues, troubleshooting errors, or performing system healt...
Systematic debugging methodology - auto-triggers on bug/error/not working signals
Guide for assistant-ui library - AI chat UI components. Use when asking about architecture, debugging, or understanding the codebase.
Use when researching algorithms, data structures, optimization, performance, or need modern alternatives to classic algorithms
Use when analyzing cognitive load, code complexity, onboarding difficulty, readability concerns, maintainability issues, or applying Ousterhout principles for deep modules, reducing complexity, and strategic pr...
Use when analyzing performance issues, creating benchmarks, or optimizing Elixir/Phoenix code
Skill for handling PR code reviews. Use when triggered by a PR review comment, review request, or when asked to review code changes. Provides workflow for reading review comments, understanding feedback, and it...
Simplified memory profiling and leak detection for SDL3 HammerEngine using valgrind memcheck, AddressSanitizer, and massif. Identifies memory leaks, allocation hotspots, buffer reuse violations, and provides sy...
Generates professional performance analysis reports from SDL3 HammerEngine benchmark results including statistical analysis, comparison tables, visualizations, and recommendations. Use when preparing performanc...
Runs performance benchmarks for SDL3 HammerEngine and detects regressions by comparing metrics against baseline. Use when testing performance-sensitive changes to AI, collision, pathfinding, particle systems, o...
Explains code with visual diagrams and analogies. Use when explaining how code works, teaching about a codebase, or when the user asks "how does this work?"
Systematically explore codebases using search and LSP to understand code structure, intent, and behavior. READ_ONLY mode - no file modifications.
Use when running tests, analyzing coverage, writing test cases, or hunting for bugs. Provides testing strategies and bug report formats.
Use when reviewing code for security, performance, or quality issues. Provides checklists and patterns for thorough code review.
Expert in version control analysis and code evolution patterns
Expert in test suite analysis, coverage assessment, and test quality evaluation
Analyze, filter, transform, and convert log files using Kelora. Use for parsing logs, extracting patterns, investigating incidents, calculating metrics, or converting formats.
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.