python-simplifier
Simplifies and refines Python code for clarity, consistency, and maintainability. Applies KISS principles, Pythonic patterns, and framework best practices. Use when reviewing or refactoring Python code.
Skills matching the name, description or GitHub author.
Simplifies and refines Python code for clarity, consistency, and maintainability. Applies KISS principles, Pythonic patterns, and framework best practices. Use when reviewing or refactoring Python code.
Development standards for the Nathan n8n-Jira agent automation system. Covers n8n workflows, Python patterns, and project conventions.
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...
Data validation and settings management using Python type annotations with Pydantic v2
Professional-grade Python development with Ruff (v0.14.10) - an extremely fast Python linter and formatter. Use when working with Python codebases for (1) linting and fixing code quality issues, (2) formatting...
Modern Python 3.12+ patterns, type hinting, and iconic constructs.
Professional static type checking for Python with mypy (v1.19.1). Use when working with Python type hints, type annotations, or integrating mypy into codebases for: (1) Adding type annotations to Python code, (...
Ensure Python code follows industry standards using Ruff linter with linting-workflow framework
Set up Python projects using nix/direnv with uv for environment management. Use when creating new Python projects, initializing Python environments, or when the user wants automatic Python virtual environment s...
Guide for creating MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers, integrating external APIs, implementing tool servers, or creating agen...
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...
Modern Python coaching covering language foundations through advanced production patterns. Use when asked to "write Python code", "explain Python concepts", "set up a Python project", "configure Poetry or PDM",...
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...
Comprehensive Word document toolkit for reading, creating, and editing .docx files. Supports text extraction, document creation with python-docx, and tracked changes via redlining workflow. Use for legal, acade...
A math skill that can perform magic number calculations using python scripts.
Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.
Build MCP servers for LLM-external service integration. Use for FastMCP (Python), MCP SDK (Node/TypeScript), tool design, API integration, resource providers.
Build backends with Node.js, Python, Go (NestJS, FastAPI, Django). Use for REST/GraphQL/gRPC APIs, auth (OAuth, JWT), databases, microservices, security (OWASP), Docker/K8s.
Use when building FastAPI apps with async database operations, complex dependency injection, partial update endpoints, async testing, or converting Python utilities to API endpoints
Guide for refactoring Python code to follow SOLID principles and improve maintainability
Deploy Python Flask applications to Railway.app with environment configuration and webhook setup
Manage Python projects and dependencies using UV, the ultra-fast Rust-based package manager. Use when creating Python projects, managing dependencies, or running Python scripts.
Set up GitHub Actions workflows for CI/CD with automated testing, linting, and deployment for Python/UV projects. Use when creating CI pipelines, automating tests, or setting up deployment workflows.
Create Dockerfiles, docker-compose configurations, and container workflows for Python projects with UV. Use when containerizing applications, setting up development environments, or deploying with Docker.
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