Discover research debugging skills, compare source repositories and read the instructions for each workflow.
Review Clojure and ClojureScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing Clojure/ClojureScript...
TRACE (Type/Readability/Atomic/Cognitive/Essential) lens for explaining code and proposing improvements (no edits applied).
Perform comprehensive dead code and clean-up analysis in Python projects using static analysis, coverage, dependency checks, and security scanning. Use when asked to clean up code, find unused code, analyze dep...
Delegate asynchronous coding tasks to Jules (Google's AI coding agent) to maximize efficiency. Use for code reviews, refactoring, adding tests, bug fixes, and documentation. Proactively suggest Jules delegation...
Comprehensive React and Next.js performance optimization guide with 40+ rules for eliminating waterfalls, optimizing bundles, and improving rendering. Use when optimizing React apps, reviewing performance, or r...
Use before committing code or after major changes to verify performance. Catches expensive operations before they cause frame drops.
BlueMouse 17-Layer Code Validation System - Complete Python code quality validation covering syntax, structure, function signatures, dependencies, types, logic, security, and performance. Triggers: "validate",...
L13-L17 類型和邏輯驗證 - 檢查類型一致性、邏輯完整性、錯誤處理、安全性、性能。 BlueMouse 17-Layer Validation Group 4（最深層檢查）。 Triggers: "logic", "security", "performance", "error handling", "安全檢查"
L5-L8 函數簽名驗證 - 檢查參數、返回值、類型提示、文檔字符串。 BlueMouse 17-Layer Validation Group 2。 Triggers: "signature", "參數檢查", "type hints", "docstring"
Deep forensic debugging that never stops until root cause is found or visibility limit is proven. Use when user wants to understand exactly why something is broken, not work around it. Activates on "why is this...
Systematic debugging and troubleshooting for code and infrastructure issues
React and Next.js performance optimization guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React/Next.js code.
Debug and resolve complex hydration mismatches that cause UI thrashing and content layout shifts.
Identify and mitigate data races arising from concurrent renders and asynchronous effects.
Design render budget systems that prevent UI regressions under heavy load.
Apply principled memoization techniques to reduce re-rendering without introducing correctness bugs.
Detect, isolate, and fix memory leaks in long-running React Single Page Applications.
Implement deep instrumentation pipelines for tracing, metrics, and real-user monitoring of React apps.
Deep dive into the React Compiler (formerly React Forget) to tune automatic memoization and optimization profiles.
Capture and report runtime errors with component stack traces and user context.
Develop advanced debugging workflows for concurrent rendering, including reproducibility under non-deterministic scheduling.
Conduct rigorous, statistically grounded performance profiling for large React applications.
Implement advanced observability to capture concurrent rendering behavior and scheduling anomalies.
Interactive debugging via DAP-MCP for multiple languages with natural language commands
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.