GitHub
quality-gates
This skill should be used when the user wants to run code quality checks (linting, formatting, type checking, tests) on the lazyopencode project. Use this skill when asked to "run quality gates", "check the cod...
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lifestyle debugging AI 技能
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。
分类目录: lifestyle debugging
lifestyle debugging 清除筛选
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GitHub
morph-search
Fast codebase search via WarpGrep (20x faster than grep)
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GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior (including race conditions, deadlocks, concurrency issues) - four-phase framework (root cause investigation, pattern analysis, hypothesis test...
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GitHub
memory-management-optimization
Debug memory leaks, profile memory usage, optimize allocations. Use when heap grows unexpectedly, OOM errors occur, or profiling shows memory bottleneck. Covers C++ (Valgrind, ASAN, RAII), Python (tracemalloc,...
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GitHub
ruby-refactoring-expert
Automatically invoked when analyzing code quality, refactoring, or maintainability. Triggers on mentions of "code smell", "refactor", "code quality", "technical debt", "complexity", "maintainability", "clean co...
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GitHub
hotwire-patterns
Stimulus and Turbo patterns for Rails frontend development. Automatically invoked when working with Hotwire, Stimulus controllers, Turbo frames/streams, progressive enhancement, or modern Rails JavaScript. Trig...
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GitHub
distributed-tracing
Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design.
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GitHub
testingperformance-testing
Performance testing patterns including load testing, stress testing, benchmarking, and profiling for optimal application performance
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GitHub
coding-with-omega-leverage
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development work...
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GitHub
tracing-root-causes
AI agent performs systematic root cause analysis using 5 Whys, Fishbone diagrams, and evidence-based investigation. Use when debugging, conducting post-mortems, or investigating incidents.
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GitHub
debugging-systematically
AI agent follows a 5-phase debugging process with reproduction, isolation, hypothesis testing, and root cause resolution. Use when investigating bugs, troubleshooting issues, or hunting errors.
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GitHub
observability
Production observability with structured logging, metrics collection, distributed tracing, and alerting
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GitHub
profiling-performance
Performs browser performance profiling with Lighthouse, Core Web Vitals, and DevTools analysis. Use when auditing page performance, optimizing Core Web Vitals, analyzing bundle sizes, or implementing performanc...
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GitHub
avoiding-testing-anti-patterns
AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality.
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GitHub
custom-plugin-flutter-skill-performance
1600+ lines of performance optimization mastery - profiling, rendering, memory, network, battery, APK size with production-ready code examples.
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GitHub
sorting-algorithms
Complete sorting algorithm implementations including quick sort, merge sort, and binary search with complexity analysis and production-ready code.
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GitHub
palace-python-expert
Expert in Python development with focus on best practices, testing, and modern Python features
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GitHub
session-continuity
Aggressive session accountability via Obsidian timeline. PROACTIVELY log decisions, commits, ideas, and blockers AS THEY HAPPEN. Triggers on any significant action.
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GitHub
debugging
Python debugging techniques, pdb, and IDE debugging tools
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GitHub
systematic-debugging
Systematic debugging methodology emphasizing root cause analysis over quick fixes. Use when debugging complex issues, investigating production failures, or avoiding symptom-based patches in favor of understandi...
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GitHub
test-quality-inspector
Test quality inspection framework for reviewing test coverage, identifying gaps, and ensuring comprehensive validation. Use when reviewing test suites, performing QA inspections, or establishing testing quality...
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GitHub
idiomatic-rust
Rust code review patterns from corrode.dev (16 articles)
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GitHub
performance-optimization
Full-stack performance analysis, optimization patterns, monitoring strategies, React 19 concurrent features, and bundle analysis for 2025+ development
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GitHub
react
React 19 best practices, hooks, state management and data fetching. Use when writing components, hooks, managing state, handling async operations or reviewing React code.
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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。