GitHub
systematic-debugging
Systematic debugging expertise - 4-phase root cause process, evidence gathering, and hypothesis testing. Use when encountering any bug, test failure, or unexpected behavior before proposing fixes.
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data ai debugging AI 技能
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GitHub
observability-for-react-concurrency
Implement advanced observability to capture concurrent rendering behavior and scheduling anomalies.
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GitHub
performance-profiling-at-scale
Conduct rigorous, statistically grounded performance profiling for large React applications.
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GitHub
advanced-memoization-strategies
Apply principled memoization techniques to reduce re-rendering without introducing correctness bugs.
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GitHub
memory-leak-analysis-spas
Detect, isolate, and fix memory leaks in long-running React Single Page Applications.
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GitHub
instrumentation-and-telemetry
Implement deep instrumentation pipelines for tracing, metrics, and real-user monitoring of React apps.
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GitHub
react-compiler-optimization-profiles
Deep dive into the React Compiler (formerly React Forget) to tune automatic memoization and optimization profiles.
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GitHub
react-error-boundary-analytics
Capture and report runtime errors with component stack traces and user context.
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GitHub
concurrent-debugging-strategies
Develop advanced debugging workflows for concurrent rendering, including reproducibility under non-deterministic scheduling.
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GitHub
concurrent-render-budgeting
Design render budget systems that prevent UI regressions under heavy load.
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GitHub
hydration-mismatch-forensics
Debug and resolve complex hydration mismatches that cause UI thrashing and content layout shifts.
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GitHub
react-18-data-race-mitigation
Identify and mitigate data races arising from concurrent renders and asynchronous effects.
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GitHub
ab-testing-infrastructure
Build high-integrity experimentation frameworks within React applications.
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GitHub
python-cleanup
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...
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GitHub
jules-api
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...
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GitHub
debug-log
Printf-style debug logging for development-time visibility
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GitHub
coredump
Core Dump Analysis skill for the ikigai project
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GitHub
lcov
LCOV tooling - finding gaps, parsing coverage files, marker syntax
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GitHub
optimization-monitor
Real-time performance metrics collection, bottleneck detection, SLA monitoring, anomaly detection, and resource tracking. Use for continuous system monitoring, performance dashboards, and proactive issue detect...
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GitHub
engineering-report-generator
Generate engineering analysis reports with interactive Plotly visualizations, standard report sections, and HTML export. Use for creating dashboards, analysis summaries, and technical documentation with charts.
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GitHub
webapp-testing
Web application testing toolkit using Playwright with Python. Use for verifying frontend functionality, debugging UI behavior, capturing browser screenshots, viewing browser logs, and automating web interaction...
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GitHub
optimization-analyzer
Performance bottleneck analysis, workflow inefficiency detection, pattern recognition, and optimization recommendations. Use for identifying performance issues, root cause analysis, and generating actionable im...
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GitHub
optimization-benchmark
Comprehensive performance benchmarking, regression detection, automated testing, and performance validation. Use for CI/CD quality gates, baseline comparisons, and systematic performance testing.
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GitHub
github-code-review
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis. Use for automated multi-agent review, security vulnerability analysis, performance bot...
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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。