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query-optimization
Database query optimization strategies. Use when improving query performance.
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development debugging AI 技能
发现 development 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: development debugging
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GitHub
coverage-standards
Coverage thresholds and reporting. Use when analyzing and improving test coverage.
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GitHub
gas-optimization
Gas optimization techniques and patterns for efficient Solidity smart contracts. Use when optimizing contract gas costs or reviewing code for efficiency improvements.
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GitHub
bundle-optimization
Bundle size optimization including tree shaking, code splitting, and dependency analysis. Use when reducing bundle size.
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GitHub
coverage-analysis
Test coverage tracking and improvement strategies. Use when analyzing test coverage.
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GitHub
benchmarking
Performance benchmarking techniques and analysis. Use when measuring performance.
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GitHub
optimization-techniques
Performance optimization strategies. Use ONLY after profiling identifies bottlenecks.
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GitHub
performance-patterns
React performance optimization including memoization, code splitting, and lazy loading. Use when optimizing React applications.
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GitHub
coverage-analysis
Test coverage analysis and improvement strategies for Solidity contracts. Use when analyzing or improving test coverage.
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GitHub
code-quality
Code quality standards, linting rules, and best practices for clean Solidity code. Use when reviewing code quality or establishing project standards.
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GitHub
react-native-performance
React Native performance optimization techniques. Use when optimizing app performance.
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GitHub
performance-profiling
pprof usage and performance analysis. Use when profiling applications.
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GitHub
modbus-troubleshooting
Diagnostics for Modbus in Home Assistant custom components—framing/extra-data errors, unit_id mismatches, pacing/timeouts, write contention, and logging patterns.
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GitHub
testing-automation
Testing patterns with Bun test runner, coverage thresholds, mocking, and CI/CD integration. Use when writing tests, organizing test files, or setting up quality gates.
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GitHub
go-linting
Go static analysis. Routes to specific tools.
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GitHub
go-testing-benchmarks
Benchmark patterns for performance testing
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GitHub
benchmark
Run BenchmarkDotNet performance tests and analyze results. Use when the user mentions benchmarks, performance testing, mining speed, or wants to compare performance.
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GitHub
metaprogramming
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...
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GitHub
performance
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...
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GitHub
spec-performance
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...
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GitHub
code-search
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...
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GitHub
test-structure-analysis
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...
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GitHub
mcp-efficiency
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...
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GitHub
debugging
Hypothesis-driven debugging with systematic investigation. Identifies root causes, creates minimal reproductions, and implements fixes. Use when investigating errors, bugs, crashes, or unexpected behavior.
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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。