GitHub
systematic-debugging
Four-phase debugging: root cause → patterns → hypothesis → implement. For complex bugs, test failures, multi-component issues. NOT for obvious syntax errors.
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data ai debugging AI 技能
发现 data ai 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。
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GitHub
bug-reporter
Capture bug context, generate reports, and optionally create GitHub issues or share patterns
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GitHub
pop-benchmark-runner
Orchestrates benchmark execution comparing PopKit vs baseline Claude Code
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GitHub
feasibility-analysis
Project feasibility analysis toolkit. Evaluate technical feasibility, resource requirements, market viability, risk factors, and implementation challenges for informed go/no-go decisions on software projects.
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GitHub
building-blocks
Component specification toolkit for breaking software projects into discrete, buildable blocks. Create detailed specifications with interfaces, dependencies, test criteria, and effort estimates for Claude Code...
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GitHub
layer-detector
Detect and analyze FSD layer structure in a project
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GitHub
pattern-detector
Universal pattern detector - learns from ANY codebase through sample analysis
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GitHub
cheatsheets
Quick reference cheatsheets for Kailash SDK patterns, nodes, workflows, and best practices. Use when asking about 'quick tips', 'cheat sheet', 'quick reference', 'common mistakes', 'node selection', 'workflow p...
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GitHub
go-code-review
Auto-review Go code for 100+ common mistakes when analyzing .go files, discussing Go patterns, or reviewing PRs with Go code. Checks error handling, concurrency, interfaces, performance, testing, and stdlib usa...
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GitHub
performance-profiling
Profile CPU, memory, and I/O usage to identify bottlenecks, analyze execution traces, and diagnose performance issues
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GitHub
test-coverage-analysis
Measure and improve test coverage by identifying untested code paths and prioritizing high-risk areas for testing
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GitHub
bug-triage
Systematically reproduce, diagnose, and analyze bugs to determine root cause, assess severity, and plan fix strategy
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GitHub
structured-logging
Apply structured logging best practices using Pino for Node.js applications: JSON output, log levels, context, redaction, correlation IDs, and centralization. Use when implementing logging, reviewing log statem...
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GitHub
cartographer
Codebase mapping and documentation using parallel AI subagents. Invoke for: map this codebase, document architecture, understand codebase, onboarding to new project, create CODEBASE_MAP.md, generate architectur...
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GitHub
swift-performance
Optimize SwiftUI and Swift app performance with Instruments profiling, lazy loading, memory management, and view optimization. Use when diagnosing slow UI, fixing memory leaks, optimizing scroll performance, or...
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GitHub
research
Technical research methodology using Context7, Exa, and Sequential Thinking for documentation, best practices, and complex investigations.
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GitHub
exploration
Codebase exploration techniques for rapid discovery, architecture analysis, pattern detection, and dependency mapping.
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GitHub
react-performance
React performance optimization - memo, useMemo, useCallback, lazy loading, virtualization. Use when optimizing React app performance.
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GitHub
code-quality
Code quality validation with linters, SOLID principles, error detection, and architecture compliance across all languages.
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GitHub
evaluator
Evaluate TappsCodingAgents framework effectiveness and provide continuous improvement recommendations. Use for analyzing usage patterns, workflow adherence, and code quality metrics.
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GitHub
debugger
Investigate and fix bugs. Use when debugging errors, analyzing stack traces, or tracing code execution. Includes Context7 error pattern knowledge and library documentation lookup.
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GitHub
reviewer
Code reviewer providing objective quality metrics, security analysis, and actionable feedback. Use for code reviews with scoring, linting, type checking, and duplication detection.
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GitHub
improver
Refactor and improve code quality. Use for code refactoring, performance optimization, and quality improvements. Includes Context7 refactoring patterns lookup.
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GitHub
skill-analyzer
Analyzes codebases to identify missing skills and recommend new ones. Invoke when user wants to audit skills, identify knowledge gaps, or determine what skills would benefit the project.
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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。