Skill UI

A comprehensive guide to integrating privacy protections into software architecture from the ground up. This skill ensures compliance with major global regulations like GDPR, CCPA, and LGPD by implementing core principles such as data minimization, purpose limitation, and default privacy settings. Essential for developers building any application that handles personal user data.

This skill autonomously deep-scans entire codebases line-by-line to identify security vulnerabilities, performance bottlenecks, and architectural flaws. It systematically refactors code to meet enterprise-grade production standards, including adding logging, monitoring, CI/CD pipelines, and security hardening. Ideal for preparing software for deployment.

This skill systematically audits a given project by analyzing its historical memory, rollout summaries, and local skill definitions. It identifies repeated complex workflows, recurring operational patterns, or areas where existing skills are stale. The audit process guides the user to recommend the highest-value skills to either add (if a new pattern emerges) or update (if current skills are outdated or incomplete), ensuring the AI agent operates with the most accurate and context-specific knowledge base for optimal project execution.

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.

Generates pairwise test cases to reduce combinations while covering interactions, useful for software QA, configuration testing, and pypict workflows.

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.

This skill drives the radare2 CLI for binary reconnaissance, disassembly, analysis, function locating, export, and lightweight patching without a GUI. It supports analyzing executables, libraries, and web assembly files using tools like r2, rabin2, and rasm2.

This skill enables authorized security research on RF and Software Defined Radio signals. It focuses on signal identification, protocol analysis, and replay attack feasibility studies within shielded laboratory environments. Users must obtain explicit written permission before probing or exploiting targets. It supports tools like RTL-SDR, HackRF, GNU Radio, and URH for analyzing wireless protocols outside regulated bands without causing interference.

A comprehensive reference guide detailing best practices, rules, and optimizations for building high-performance React Native and Expo applications. It covers critical areas such as list virtualization, complex animations, UI patterns, state management, and monorepo structure, helping developers avoid common pitfalls and maximize app speed and stability.

Generate comprehensive, absurdly thorough README.md documentation for any software project, covering installation, usage, configuration, and contribution guidelines.

Triage ASM and reconnaissance output to prove asset ownership before testing. Filters keyword-matched false positives such as shared-name repos, cloud buckets, mobile apps and breach lines, and applies soft-404 controls to inflated Critical findings.

This skill manages the entire lifecycle of long-running deep learning training and inference jobs deployed on remote, ephemeral computing environments (e.g., AutoDL, RunPod, bare SSH, Slurm, K8s). It provides critical capabilities like resilient checkpointing, managing spot instance preemption, debugging resource failures (OOM, NaN), and ensuring safe billing teardown, making it essential for professional ML Ops on rented resources.