发现 lifestyle 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。
This skill should be used when the user asks about "metaprogramming", "DSL", "domain-specific language", "method_missing", "define_method", "class_eval", "instance_eval", "module_eval", "hooks", "included", "ex...
This skill should be used when the user asks about "Ruby performance", "optimization", "profiling", "benchmarking", "memory", "garbage collection", "GC", "benchmark-ips", "stackprof", "memory_profiler", "slow c...
This skill should be used when the user asks about "slow specs", "test performance", "parallel tests", "spec profiling", "let vs let!", "build vs create", "test optimization", or needs guidance on making RSpec...
Token-efficient codebase exploration using MCP-first approach. Locates functions, classes, patterns, and traces dependencies with 80-90% token savings. Use when searching code, finding implementations, or traci...
Analyzes test directory structure, coverage gaps, and helper consolidation opportunities. Produces coverage reports and refactoring recommendations. Use when auditing test suites, planning test improvements, or...
Token-efficient codebase exploration using MCP servers (Serena, Context7, JetBrains, Claude-mem). Reduces token usage by 80-90% through structured queries. Use ALWAYS before reading files to minimize context wi...
Hypothesis-driven debugging with systematic investigation. Identifies root causes, creates minimal reproductions, and implements fixes. Use when investigating errors, bugs, crashes, or unexpected behavior.
Performance optimization and bottleneck detection. Identifies N+1 queries, memory leaks, async issues, and caching opportunities. Use when investigating slow operations, optimizing response times, or detecting...
Systematic code review with security, performance, and architecture analysis. Provides actionable fix suggestions and GitHub PR integration. Use when reviewing PRs, validating code changes, or checking code qua...
Hypothesis-driven debugging with systematic investigation. Identifies root causes, creates minimal reproductions, and implements fixes. Use when investigating errors, bugs, crashes, or unexpected behavior.
Use when errors occur deep in execution and you need to trace back to find the original trigger - systematically traces bugs backward through call stack, adding instrumentation when needed, to identify source o...
Provides Go programming expertise, including language syntax, idiomatic patterns, concurrency, and standard library usage. Use when generating, analyzing, refactoring, or reviewing Go code.
Drupal cache debugging techniques and troubleshooting workflows. Use when asked about X-Drupal-Cache headers interpretation, finding max-age 0 sources, WebProfiler usage, cache hit/miss analysis, stale content...
Drupal cache max-age configuration and behavior. Use when asked about time-based cache expiration, Cache::PERMANENT, max-age 0 issues, why Page Cache ignores max-age, or when content appears stale despite time...
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
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
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。