GitHub
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
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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
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GitHub
codex-skill
HtmlGraph session tracking and work continuity for Codex. Ensures proper activity attribution, feature awareness, and continuous work tracking across sessions.
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GitHub
strategic-planning
Use HtmlGraph analytics to make smart work prioritization decisions. Activate when recommending work, finding bottlenecks, assessing risks, or analyzing project impact.
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GitHub
playwright-frontend-testing
Use when testing frontend applications. AI-assisted browser testing with Playwright MCP. Fast, deterministic, no vision models needed.
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GitHub
cloud-monitoring
Cloud monitoring with Prometheus, Grafana, and cloud-native tools. Use when setting up metrics, alerts, dashboards, or troubleshooting performance issues.
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GitHub
browser-automation-debugging
Use when debugging web applications or automating browser tasks. Leverage Chrome DevTools MCP for inspection, performance analysis, and automated testing.
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GitHub
root-cause-tracing
Use when symptoms don't reveal the cause. Trace backward through call chains to find where problems originate. Follow: Observe symptom → Find immediate cause → Identify caller → Keep tracing → Locate trigger.
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GitHub
lighthouse-performance-optimization
Use when optimizing website performance. Run Google Lighthouse audits via MCP to measure metrics, identify bottlenecks, and iterate on improvements.
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GitHub
systematic-debugging
Use when encountering bugs or unexpected behavior. Methodical approach to identify root cause: Reproduce → Isolate → Identify → Fix → Verify.
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GitHub
dig
Investigation-only mode for understanding bugs, features, or system behavior without making changes. Use when the user says phrases like "let's investigate", "we need to figure out", or "we're debuggin", or ask...
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GitHub
postmortem
生成专业的尸检报告（Postmortem）。用于：(1) 分析 release - 分析上次发布到本次发布之间带有 fix 字样的 commits，生成事故报告；(2) 分析本次对话 - 分析对话中用户让你纠正的问题，总结经验教训。
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GitHub
systematic-debugging
Systematic 4-phase debugging process for finding root causes
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GitHub
momentum-firmware-review
Review Flipper Zero firmware code changes for Momentum-specific patterns, security, and compatibility when analyzing firmware modifications or pull requests.
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GitHub
postmortem
Generate blameless postmortem with root cause analysis
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GitHub
fix
Diagnose and fix bugs with architecture-aware analysis and diagnostic-first approach
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GitHub
code-review
Code review mode - comprehensive review with security, performance, and maintainability focus
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GitHub
analyze-test-coverage
Analyze test coverage gaps and report findings
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GitHub
debug
Guide systematic debugging through hypothesis generation and verification
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GitHub
create-plan
Analyzes design docs and existing projects to create detailed, actionable implementation plans for Claude Code. Use when the user asks to create an implementation plan, analyze a feature, or break down tasks.
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GitHub
transparency
Patterns for showing thinking process and execution chain. Every step visible, every decision traceable.
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GitHub
scout
Quick project reconnaissance and health check via @geepers_scout - identifies issues, quick wins, and improvement opportunities.
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GitHub
search-knowledge
Deep Python knowledge for code reviews. Provides detailed guidance on iterables, data structures, standard library, validation, testing, concurrency, APIs, and security.
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GitHub
qa-verify
AI-powered QA verification using Playwright MCP for visual E2E testing. Use when (1) Verifying UI changes after code modifications, (2) Testing user workflows end-to-end, (3) Checking for visual regressions, (4...
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GitHub
react-best-practices
React performance optimization guidelines focused on Tanstack Start applications. Use when writing, reviewing, or refactoring React code with Tanstack Start, Tanstack Query, and Tanstack Router. Triggers on Rea...
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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。