发现 data ai debugging 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
HTTP cache debugging tools and techniques. Use when asked to inspect cache headers, debug HTTP responses, use curl for cache analysis, or verify caching behavior. Includes SparkFabrik container context with mak...
Skills for legacy code analysis, explanation, and safe refactoring - mandatory workflows and search tools
Navigate, analyze, and modify codebases using LSP semantic navigation. Use when user needs code refactoring, bug fixing, feature implementation, code analysis. Returns structured code changes with LSP navigatio...
Compare local codebase capabilities against competitor products by researching competitor features via web search and documentation, analyzing local code patterns, and generating an interactive HTML comparison...
Production-grade performance testing skill with k6, JMeter, load testing, stress testing, and performance optimization guidance
Evaluate and implement visualization algorithms for ocean/foam rendering. Use when discussing rendering techniques, contour algorithms, performance optimization for graphics, or evaluating algorithm tradeoffs....
Visual regression for canvas-rendered matrix progressions. Tests filmstrip strips that show how 2D data evolves visually over time. Auto-apply when editing *Progressions.ts strip definitions or stories with fil...
Apply performance optimization patterns for game loop, rendering, and state updates. Use when discussing frame rate, optimization, profiling, or when editing core game loop code. Auto-apply when user mentions "...
Apply systematic debugging methodology. Use when investigating bugs, unexpected behavior, or when user reports issues. Auto-apply when conversation includes "bug", "broken", "not working", "wrong", "glitch", "f...
Monitoring and observability with Prometheus, Grafana, ELK Stack, and distributed tracing.
Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
Semantic code search using natural language queries. Use when users ask "where is X implemented", "how does Y work", "find the logic for Z", or need to locate code by concept rather than exact text. Returns fil...
Parse and analyze macOS crash logs to identify crash causes and debugging information
Python tools for analyzing Instruments traces and performance data
Emacs 키바인딩을 검사하고 분석합니다. 키 충돌 확인, 특정 키에 바인딩된 명령 찾기, 명령에 할당된 키 검색에 사용합니다. "키바인딩", "키맵", "단축키", "keybind", "충돌" 등의 키워드에 활성화됩니다.
Navigate Mind Palace to query entity knowledge about codebase subsystems. Use when understanding architecture, exploring how systems work, or checking for hazards/gotchas before modifying code.
Activates when user needs help writing tests, understanding testing patterns, or improving test coverage. Triggers on "write tests", "add unit tests", "test this function", "improve coverage", "mock this", "tes...
Activates when user needs help with performance optimization, profiling, or improving code efficiency. Triggers on "optimize performance", "make this faster", "reduce memory", "profile this", "performance issue...
Best practices for coding, debugging, and refactoring. Use when reviewing code, debugging issues, refactoring, or establishing coding patterns.
Troubleshooting dependencies, installations, environment issues, and platform-specific problems. Use when facing npm/pip/package errors, installation failures, environment setup issues, or platform compatibilit...
This skill should be used when the user asks to "debug this", "fix this bug", "why is this failing", "investigate error", "getting an error", "exception thrown", "crash", "not working", "what's causing this", "...
This skill should be used when the user asks about "Unity performance", "optimization", "GC allocation", "object pooling", "caching", "Update loop optimization", "memory management", "profiling", "framerate", "...
Master performance testing with load testing, stress testing, JMeter, k6, and performance benchmarking.
Master test automation with Selenium, Cypress, Playwright, framework design, and maintainable automated tests.
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。