pixi-package-manager
Fast, reproducible scientific Python environments with pixi - conda and PyPI unified
Find the perfect capability for your agent.
Fast, reproducible scientific Python environments with pixi - conda and PyPI unified
Advanced Python Scheduler - Task scheduling and job queue system
Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.
Observability patterns for Python backends. Use when adding logging, metrics, tracing, or debugging production issues.
Observability patterns for Python applications. Triggers on: logging, metrics, tracing, opentelemetry, prometheus, observability, monitoring, structlog, correlation id.
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
Generate markdown documentation from Python codebases by analyzing source files, extracting docstrings, type hints, and code structure. Use when the user asks to document Python code, create API docs, or generate README files from source code.
Comprehensive Python programming guidelines based on Google's Python Style Guide. Use when Claude needs to write Python code, review Python code for style issues, refactor Python code, or provide Python programming guidance. Covers language rules (imports, exceptions, type annotations), style rules (naming conventions, formatting, docstrings), and best practices for clean, maintainable Python code.
Hyper-pedantic code review skill that emulates Monty's Django4Lyfe backend engineering philosophy and review style. Use this when reviewing or refactoring Python/Django code in this backend repo and you want a strict, correctness-first, multi-tenant-safe, deeply nitpicky review.
Write clean, consistent code following naming conventions, DRY principles, small focused functions, automated formatting, and meaningful variable names. Use this skill when writing or refactoring any code in any language, naming variables/functions/classes/files, structuring code logic, removing dead code, or ensuring code readability and maintainability. Apply to all programming tasks including Python, JavaScript, TypeScript, Ruby, Java, Go, or any other language files (.py, .js, .ts, .rb, .java, .go) to maintain consistent style, improve code quality, and enhance team collaboration across the entire codebase.
Expert Python backend code reviewer that identifies over-complexity, duplicates, bad optimizations, and violations of best practices. Use when asked to review Python code quality, check for duplicate code, analyze module complexity, optimize backend code, identify anti-patterns, or ensure adherence to best practices. Ideal for preventing AI-generated code from creating unnecessary files instead of imports, finding repeated validation logic, and catching over-engineered solutions.
Security intelligence for code analysis. Detects SQL injection, XSS, CSRF, authentication issues, crypto failures, and more. Actions: scan, analyze, fix, audit, check, review, secure, validate, sanitize, protect. Languages: JavaScript, TypeScript, Python, PHP, Java, Go, Ruby. Frameworks: Express, Django, Flask, Laravel, Spring, Rails. Vulnerabilities: SQL injection, XSS, CSRF, authentication bypass, authorization issues, command injection, path traversal, insecure deserialization, weak crypto, sensitive data exposure. Topics: input validation, output encoding, parameterized queries, password hashing, session management, CORS, CSP, security headers, rate limiting, dependency scanning.
Interactive HTTPS proxy for API security testing with traffic interception, modification, and replay capabilities. Supports HTTP/1, HTTP/2, HTTP/3, WebSockets, and TLS-protected protocols. Includes Python scripting API for automation and multiple interfaces (console, web, CLI). Use when: (1) Intercepting and analyzing API traffic for security testing, (2) Modifying HTTP/HTTPS requests and responses to test API behavior, (3) Recording and replaying API traffic for testing, (4) Debugging mobile app or thick client API communications, (5) Automating API security tests with Python scripts, (6) Exporting traffic in HAR format for analysis.
Python security vulnerability detection using Bandit SAST with CWE and OWASP mapping. Use when: (1) Scanning Python code for security vulnerabilities and anti-patterns, (2) Identifying hardcoded secrets, SQL injection, command injection, and insecure APIs, (3) Generating security reports with severity classifications for CI/CD pipelines, (4) Providing remediation guidance with security framework references, (5) Enforcing Python security best practices in development workflows.
Guide and run a SharePoint audit locally. Collect inputs, confirm PowerShell 7.4+ and Python 3.10+ are available, call PowerShell with certificate auth via wrapper, parse audit.json, and render Markdown/HTML. Use only local shell commands.
Use when implementing JWT authentication in FastAPI or Python projects. Triggers for: token generation, verification middleware, current user extraction, access token creation, token decoding, or role-based auth. NOT for: OAuth2 provider setup, OpenID Connect, or non-Python backends.
pytest testing patterns for Python. Triggers on: pytest, fixture, mark, parametrize, mock, conftest, test coverage, unit test, integration test, pytest.raises.
Python testing with pytest using uv package manager. Use when: (1) Running Python tests, (2) Writing test files or test functions, (3) Setting up fixtures, (4) Parametrizing tests, (5) Generating coverage reports, (6) Testing FastAPI applications, (7) Debugging test failures, (8) Configuring pytest options. Triggers: "run tests", "write tests", "test coverage", "pytest", "unit test", "integration test", "test FastAPI".
Spawn a new terminal window to run CLI commands (ffmpeg, curl, python, etc.). Use for non-AI command execution.