debugging
Python debugging techniques, pdb, and IDE debugging tools
按技能名称、说明或 GitHub 作者匹配的结果。
Python debugging techniques, pdb, and IDE debugging tools
Use PROACTIVELY when checking if tests catch real bugs, assessing test suite quality, finding weak tests, or measuring mutation score. Validates test effectiveness beyond coverage metrics by introducing code mu...
Write Python code in the style of David Beazley, author of Python Cookbook. Emphasizes generators, coroutines, metaprogramming, and understanding Python's internals. Use when writing advanced Python that requir...
Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when revi...
Debugging techniques for Python, JavaScript, and distributed systems. Activate for troubleshooting, error analysis, log investigation, and performance debugging. Includes extended thinking integration for compl...
Comprehensive guide for building serverless applications with Cloudflare Workers. Use when developing Workers, configuring bindings, implementing runtime APIs, testing Workers, using Wrangler CLI, deploying to...
Test generation expertise for Python (pytest) and TypeScript (Jest). Use when writing new tests, improving coverage, or creating test fixtures. Ensures comprehensive coverage including edge cases, error scenari...
Ruthless code review for Python, Kubernetes, and AWS. Hunts for downstream problems, security issues, and unnecessary complexity. Use on 'review', 'check', 'audit', 'what could go wrong'.
Universal error handling, exception management, and logging best practices for all development agents across JavaScript/TypeScript, Python, Rust, Go, and Java. Use when implementing error handling, exception ma...
Structural code pattern search and refactoring using ast-grep (sg). Use for finding functions, classes, methods, imports, or any code structure patterns. Supports syntax-aware analysis across multiple languages...
Deep Python knowledge for code reviews. Provides detailed guidance on iterables, data structures, standard library, validation, testing, concurrency, APIs, and security.
Provides comprehensive Python code review with focus on quality, bugs, security, and best practices. Use when reviewing Python code, functions, or modules for quality assessment.
Python tools for analyzing Instruments traces and performance data
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.
Test quality validation detecting mesa-optimization, happy-path bias, vacuous assertions, and error-swallowing anti-patterns. Use when reviewing test files for quality issues, evaluating test meaningfulness, or...
Master CLI navigation and code exploration using modern command-line tools. Use this skill when navigating repositories, searching for files/text/code patterns, or working with structured data (JSON/YAML/XML)....
Use this skill when working with ast-grep, an AST-based code search, lint, and rewrite tool. Activate when the user asks to search code patterns, refactor code structurally, create linting rules, or perform AST...
Structured logging for Python applications with context support and powerful processors
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...
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...
Expert-level Python programming with PEP 8 standards and modern best practices. Use when writing Python code, debugging Python issues, explaining Python concepts, or reviewing Python code.
Expert Python developer specializing in modern tooling (uv, ruff, pyright), type safety, and clean module design. This skill should be used PROACTIVELY when working on any Python code - implementing features, d...
Programmatically debug code using debug-run CLI with DAP. Use when debugging .NET, Python, or JavaScript/TypeScript applications, setting breakpoints, capturing variables, evaluating expressions, or attaching t...
Analyze codebases and generate Claude Code automation infrastructure including commands, scripts, and templates for systematic task execution. Use when the user wants to create reusable automation workflows, ge...
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。