Skill UI

A comprehensive framework guiding feature planning and implementation through adaptive phases: Specify, Design, Tasks, and Execute. It enforces highly structured development practices by using EARS notation, atomic tasks, deterministic Conventional Commits, and mandatory code validation scripts. Features include requirement traceability, automatic verification, and a self-improving lessons layer, ensuring quality and compliance throughout the lifecycle.

An expert-level skill set covering the entire spectrum of user-centered design. Mastery includes building scalable design systems using atomic principles and design tokens, conducting deep user research (usability testing, persona creation), ensuring WCAG accessibility compliance, and managing cross-platform implementation (web, mobile, desktop). Ideal for developing complex, inclusive, and highly structured digital products.

Generates high-fidelity mobile and web UI/UX mockups with atomic design principles, responsive layouts, and accessible design tokens via muapi.ai for product requirements that need professional wireframes or design systems.

An internal utility designed to manage the entire lifecycle of meta-skill proposals. It provides atomic functions to write new skill proposals, list candidates for review, and formally accept validated proposals into the active skill set. This tool is crucial for automated skill pipeline development and version control.

A comprehensive, adaptive framework for developing and implementing features, adhering to a strict, multi-phase workflow: Specify, Design, Tasks, and Execute. This skill ensures feature quality through granular task breakdown, atomic Git commits, requirement traceability, and mandatory, independent verification. It automatically adjusts its depth based on feature complexity (Small to Complex), providing a robust mechanism for managing technical debt and capturing project lessons.

A comprehensive skill for safely restructuring existing Go codebases. It provides behavior-preserving transforms, such as renaming, extracting functions, moving packages, and applying design patterns, while maintaining a safety net via robust testing and structured, atomic commits. Ideal for large-scale maintenance and improving code structure.

Provides comprehensive architectural guidance for implementing robust, crash-safe, and versioned save/load systems for games. Covers serialization best practices, atomic file writing, schema migration, and autosave implementation, ensuring player progress persists reliably across updates and crashes.