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A workflow for converting known binary vulnerabilities into working exploits. Covers stack/heap/kernel pwn techniques using pwntools, libc-database, and ROP. Suitable for porting CTF solutions to authorized remote targets or developing RCE payloads for Linux kernel drivers.

PydanticAI is a robust Python framework that integrates Pydantic's type-checking and validation capabilities into Large Language Models (LLMs). It allows developers to build production-ready AI agents that guarantee structured, validated outputs, moving beyond simple raw strings. Key features include supported tool calling, dependency injection for testability, and multi-model compatibility across major providers like OpenAI, Anthropic, and Gemini. Use this when reliability and correct data structure are paramount.

This skill provides language-specific super-code guidelines for Python, covering idioms, efficiency, and best practices. It includes recommendations on comprehensions, unpacking, built-ins, functions, classes, error handling, type hints, and common anti-patterns to improve code quality and readability.

An end-to-end workflow for building robust, production-ready Python backend APIs. This guide covers all stages, including project scaffolding, SQLAlchemy database integration, Pydantic validation, implementing JWT/OAuth2 authentication, comprehensive error handling, unit testing, and Docker deployment for modern microservices.

A comprehensive technical guide covering the entire lifecycle of Python packaging. It teaches developers how to structure, build, test, and distribute robust Python libraries using modern standards like pyproject.toml, generating wheels, and publishing artifacts reliably to PyPI or private package indexes. Ideal for creating reusable, professional-grade Python code.

A comprehensive guide for profiling, analyzing, and optimizing Python code. It addresses identifying performance bottlenecks related to CPU usage, excessive memory consumption, I/O operations, and slow data processing. Use this skill to improve application speed and efficiency in production environments.

Generates complete, runnable Python scripts utilizing the python-pptx library to automatically build polished PowerPoint presentations. This skill transforms a topic brief into a structured slide deck script, ensuring real content, logical flow, and a working save function, perfect for demos, reports, or educational materials.

This comprehensive guide provides robust strategies for testing Python code using industry best practices. It covers essential techniques like pytest, fixtures, mocking, parameterization, and implementing Test-Driven Development (TDD). Use this skill when writing unit tests, setting up complex test suites, performing integration testing, or establishing continuous testing infrastructure in CI/CD pipelines.

Build financial models, backtest trading strategies, and analyze market data with risk metrics, portfolio optimization, and statistical arbitrage using pandas, numpy, and scipy.

Guides QA testers in designing unit, integration, E2E and contract tests that verify real requirements, covering edge cases, acceptance criteria and DoD, with truthful coverage and failure reports.

Guides an AI agent to give non-judgmental, evidence-informed quit-smoking support: quit planning, craving check-ins, slip debriefs, optional consent-based logging, and escalation to clinicians or quitlines. Not medical care.

A command-line interface skill for radare2, enabling binary reconnaissance, disassembly, analysis, function locating, and lightweight patching without a GUI. Supports various formats like exe, dll, elf, and apk. Ideal for scripting automation and quick terminal-based reverse engineering tasks using r2, rabin2, rasm2, and radiff2.