Skill UI

A comprehensive guide detailing the implementation of the Neo-Brutalist design aesthetic. It specifies core principles, including hard drop shadows, thick black outlines, and high-contrast flat colors. Includes detailed, platform-specific code examples for Web (CSS), SwiftUI, and Flutter, helping developers achieve a playful yet structured, high-impact UI look.

This skill transforms vague project ideas into eight structured planning documents for new software projects. It acts as persistent memory, prioritizing user instructions over AI assumptions. It generates PRD, TechSpec, Design, and other files sequentially, ensuring clear architecture and design direction before coding begins. Ideal for starting fresh projects from scratch.

Open Dynamic Workflows (ODW) is an advanced, open-source engine designed to manage complex coding tasks using multiple AI agents. It operates in three stages: planning the task into parallel subtasks, orchestrating various coding agents (like Codex or Antigravity) to work concurrently, and finally, performing an adversarial verification pass to challenge and validate the combined output before merging. It supports multiple model providers and is ideal for structured, high-reliability software development.

Migrate infrastructure-as-code from Terraform to OpenTofu: state compatibility, provider registry setup, lock file regeneration, OpenTofu-only state encryption, and CI/CD pipeline updates with GitHub Actions.

Implement policy as code using OPA, Kyverno, and Sentinel to automate compliance enforcement in CI/CD pipelines. Define security rules for infrastructure and Kubernetes resources, preventing violations before production deployment. Ideal for DevSecOps teams ensuring consistent governance across cloud environments.

A comprehensive collection of battle-tested prompt templates for role-based interactions, code review, debugging, testing, analysis, and creative brainstorming. Ideal for developers and AI users seeking structured prompting patterns.

This skill enables authorized reverse engineering of custom binary protocols, Protobuf/gRPC schemas, and WebSocket frames using PCAP data. It helps recover undocumented wire protocols, decode structured traffic, and reconstruct state machines for security analysis and debugging purposes.

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.

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.

This skill provides best practices for state management and persistence in Makepad applications based on Robrix and Moly codebases. It covers AppState structure, serde serialization, theme switching, and passing state through widget trees using Scope. Includes production patterns for global registry, navigation, state machines, and local persistence to ensure robust application data handling.

This skill provides a comprehensive, structured workflow for diagnosing performance bottlenecks in SwiftUI applications. It guides users through a code-first review to detect common issues like invalidation storms, layout thrash, or heavy main-thread work. When code review is insufficient, it provides detailed guidance on collecting runtime evidence using Instruments, enabling precise root cause analysis and targeted remediation strategies.

This skill specializes in scaffolding production-ready Rust applications. It generates complete project structures using Cargo tooling, ensuring proper module organization, testing setup, and configuration following Rust best practices. It supports binary, library, workspace, and web API project types with idiomatic code patterns.