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Categories: data ai debugging

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pytest

Razamirxa

Comprehensive Python testing skill using pytest framework. Use when writing, running, or debugging Python tests, creating fixtures, parametrizing tests, mocking dependencies, measuring coverage, or any pytest-r...

GitHub

codeexplainer

furqan5911

Analyze and explain Python code in detail. Provides comprehensive explanations of functions, classes, logic, and best practices. Use when user needs detailed explanations of Python code, documentation of existi...

GitHub

loguru

optivent

Python logging made (stupidly) simple. Focuses on a single, global logger with progressive disclosure to deep source understanding.

GitHub

cloudflare-workers

levanminhduc

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...

GitHub

codemap

alexismanuel

Generate hierarchical code maps from any codebase for AI agent consumption. Use when: (1) Analyzing or understanding a codebase structure, (2) Creating documentation of code architecture, (3) Mapping dependenci...

GitHub

auto-duplicate-fixer

billlzzz10

Automate detection and removal of duplicate files/functions in TypeScript, JavaScript, and Python projects. Safely refactor imports, validate with tests, and deploy changes with zero risk of breaking the system...

GitHub

code-review-assistant

kaelen-hou

Comprehensive code review assistant that analyzes code for security vulnerabilities, performance issues, and code quality. Use when reviewing pull requests, conducting code audits, or analyzing code changes. Su...

GitHub

refactor

sofer

Analyse Python code for refactoring opportunities using functional programming principles, code quality checks, and manual refactoring guidance. Use when user wants to improve code quality, check for code smell...

GitHub

memory-leak-detector

omriwen

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.

GitHub

ide-diagnostics

estiens

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...

GitHub

python-performance-optimization

HermeticOrmus

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.

GitHub

code-commenter

luohaha

Add detailed comments explaining WHY code works, its context, edge cases, and performance implications. Use when user mentions "add comments", "document", "explain code", "improve readability", or "maintainabil...

GitHub

performance-engineering

wizardengineer

Systems-level performance engineering for Rust, C/C++, and Python codebases. Use when profiling, debugging performance bottlenecks, analyzing CPU/memory usage, finding slow code paths, optimizing hot loops, inv...

GitHub

cli-testing-patterns

vanman2024

CLI testing strategies and patterns for Node.js (Jest) and Python (pytest, Click.testing.CliRunner). Use when writing tests for CLI tools, testing command execution, validating exit codes, testing output, imple...

GitHub

test-coverage-analyst

MUmerRazzaq

Guides on analyzing and improving test coverage for Python (pytest-cov) and JavaScript (c8) projects. Use when a user asks to set up test coverage, generate coverage reports, understand why coverage is low, or...

GitHub

legacy-code-reviewer

radfares

Expert system for identifying deprecated patterns, suggesting refactoring to modern standards (Python 3.12+, ES2024+), checking test coverage, and leveraging AI-powered tools. Proactively applied when users req...

GitHub

debugging

markus41

Debugging techniques for Python, JavaScript, and distributed systems. Activate for troubleshooting, error analysis, log investigation, and performance debugging.

GitHub

python-performance

pproenca

Use when Python code runs slowly, needs profiling, requires async/await patterns, or needs concurrent execution - covers profiling tools, optimization patterns, and asyncio; measure before optimizing (plugin:py...

GitHub

e2b-sandbox

padak

Execute AI-generated code in secure isolated E2B cloud sandboxes with advanced monitoring, MCP gateway integration (200+ tools), and multi-language support. Use for running Python/JavaScript/TypeScript/Bash cod...

GitHub

backend-python-performance

shredbx

Profile and optimize Python backend code using cProfile, memory profilers, and performance best practices. Use when debugging slow FastAPI code, optimizing bottlenecks, or improving application performance.

GitHub

concept-to-exercise

nsuberi

Generate diagnosis exercises from concept descriptions. Use when user wants to teach a technical concept (Python testing, Flask apps, deployment, async code, etc.) by creating a broken→fixed code example and tu...

GitHub

code-runner

plebann

Run code snippets in 30+ programming languages including JavaScript, Python, TypeScript, Java, C, C++, Go, Rust, Ruby, PHP, and more. Use when the user wants to execute code, test algorithms, verify output, run...

GitHub

debug-config-expert

kongliuli

C#/Python调试配置专家技能:负责launch.json/tasks.json配置、断点策略建议、日志级别管理、环境变量配置、多目标调试。使用时需要配置调试文件、建议断点策略、管理日志级别、配置环境变量、设置多目标调试。

GitHub

uv-troubleshooting

dawiddutoit

Debug and resolve common uv issues. Learn to diagnose dependency resolution failures, handle version conflicts, fix cache problems, troubleshoot Python environment issues, optimize performance, and solve platfo...

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