Skill UI

Provides a workflow so makepad-skills can continuously evolve during development, using Claude Code hook triggers, routing, and classification guidance for self-correction, validation, and version adaptation.

This guide details how to use EAS Build to create and distribute custom development clients for Expo applications. It is essential when your app requires custom native code or targets beyond standard Expo Go capabilities. Instructions cover local builds, automated TestFlight submissions, and connecting the client to the Metro bundler for comprehensive testing.

Master robust and type-safe patterns for React development using fp-ts. This guide covers managing state with Option, sophisticated form validation using Either (collecting all errors), and handling asynchronous data fetching with TaskEither. It promotes a highly functional, predictable coding style for React 18/19 and Next.js.

A comprehensive quick reference guide for functional programming types in TypeScript using the fp-ts library. It helps users decide which type (`Option`, `Either`, `Task`, etc.) to use based on whether operations are synchronous, asynchronous, and if they involve errors or missing values. It provides decision trees, common import patterns, and utility function patterns for robust TypeScript development.

An expert assistant for the Makepad UI framework in Rust. This skill helps users generate correct, boilerplate-free Rust code, understand basic app structure, manage event handling, and troubleshoot issues related to cross-platform GUI development. Use it when you are starting a new Makepad project or need foundational guidance on widget implementation and application lifecycle.

This skill provides expert guidance on Makepad's cross-platform development lifecycle. It helps users understand platform-specific APIs, manage conditional compilation (e.g., macOS, Windows, WebGL2), and handle OS-specific behaviors across desktop, mobile, and web environments. Use it when targeting diverse deployment targets or integrating platform-level features.

This comprehensive reference guide for Makepad provides essential materials for developers. It covers common errors, debugging tips, API documentation, and advanced techniques for adaptive and high-quality layouts. Use this resource when troubleshooting, looking up specific API details, or ensuring code robustness across different platforms.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.

This skill guides users on setting up automated code quality gates directly at the Git level. It covers best practices using frameworks like Husky, lint-staged, and pre-commit. Users can enforce linting, formatting, type-checking, and standardized commit message conventions (e.g., Conventional Commits) before code is committed or pushed, significantly improving code hygiene and development workflow consistency.

A comprehensive suite of 25 advanced agent skills designed for modern software development and platform operations. These tools cover the entire development lifecycle, including multi-agent architecture design, robust CI/CD pipelines, database schema management, performance profiling, observability setup, and security auditing. Ideal for complex system integration and platform engineering teams.

Use Progressive Estimation to produce research-backed PERT estimates, confidence bands, and calibration loops for AI-assisted or hybrid human+agent development work during sprint planning, backlog sizing, and release forecasting.

A structured methodology for de-risking product ideas and validating market opportunities. This framework guides teams through defining measurable outcomes, building Opportunity Solution Trees (OST), mapping critical assumptions (Desirability, Viability, Feasibility), and planning rigorous experiments (prototyping, interviews, usability tests) before committing to full development resources. Ideal for discovery sprints and pre-build validation.