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supabase-artifact-connection
Connect Supabase databases to Claude Desktop artifacts with read-only queries and live data visualization.
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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
code-cartographer
Analyze and map code structure, data flow, and dependencies in legacy codebases. Use for understanding call stacks, dependency trees, side effects, risk profiles, and generating Mermaid diagrams. Ideal for lega...
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GitHub
blast-radius-analysis
Analyze the impact of code changes by mapping call graphs and identifying all direct and indirect dependencies. Use when users ask about blast radius analysis, code change impact, who calls a function, downstre...
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GitHub
analyze-rust-optimizations
This skill performs thorough analysis of Rust libraries to find optimization opportunities. It should be used when reviewing Rust code for performance improvements, memory efficiency, or when profiling indicate...
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GitHub
memory-leak-detector
Detect and fix memory leaks in Python and PyTorch code, especially matplotlib figures and unreleased tensors. This skill should be used during Phase 4 performance optimization when memory usage grows over time.
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GitHub
e2e
Playwright E2E testing patterns with chrome-devtools MCP integration. Reference for integration tests, A11y validation, and visual regression.
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GitHub
code-review
Code review assistant. Use to review code changes, identify issues, and provide improvement suggestions with priority levels.
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GitHub
rp-explorer
Token-efficient codebase exploration using RepoPrompt CLI. Use when user says "use rp to..." or "use repoprompt to..." followed by explore, find, understand, search, or similar actions.
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GitHub
flow-impl-review
John Carmack-level implementation review via rp-cli for current branch changes. Use when reviewing code changes, PRs, or implementations. Triggers on mentions of code review, implementation review, or PR review...
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GitHub
pal-analyze
Comprehensive code analysis for architecture, performance, security, and quality using PAL MCP. Use when reviewing codebases, assessing technical decisions, or planning improvements. Triggers on analysis reques...
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GitHub
pal-refactor
Code refactoring analysis for code smells, decomposition, and modernization using PAL MCP. Use for cleanup, technical debt reduction, or code organization. Triggers on refactoring requests, code smell detection...
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GitHub
pal-testgen
Comprehensive test suite generation with edge case coverage using PAL MCP. Use for creating tests, improving coverage, or identifying untested paths. Triggers on test generation requests, coverage improvement,...
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GitHub
ide-diagnostics
VS Code language diagnostics and Jupyter code execution using IDE MCP. Use for checking type errors, running Python code in notebooks, or getting real-time code analysis. Triggers on requests for diagnostics, t...
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GitHub
pal-debug
Systematic debugging and root cause analysis using PAL MCP. Use for complex bugs, mysterious errors, race conditions, memory leaks, and integration problems. Triggers on debugging requests, error investigation,...
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GitHub
metrics-analyst
Collects, analyzes, and reports software metrics for data-driven decision making and continuous improvement
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GitHub
audit
Use this skill when auditing the SND codebase for consistency, bugs, and documentation issues. Covers comprehensive audit procedures for scripts, skills, rules, and documentation.
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GitHub
chattwo-debug
Use this skill to read ChatTwo chat logs as a debug console. Covers querying the SQLite database, finding script runs, and extracting debug evidence for bug analysis.
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GitHub
debugging-strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexp...
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GitHub
code-review-excellence
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review stand...
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GitHub
python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
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GitHub
shellcheck-configuration
Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability.
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GitHub
e2e-testing-patterns
Master end-to-end testing with Playwright and Cypress to build reliable test suites that catch bugs, improve confidence, and enable fast deployment. Use when implementing E2E tests, debugging flaky tests, or es...
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GitHub
distributed-tracing
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observ...
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GitHub
modern-javascript-patterns
Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScrip...
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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。