Skill UI

Guides structured reviews for Flutter/Dart pull or merge requests, checking correctness, security, style, tests, and documentation while verifying branch scope and CI health.

A comprehensive guide to idiomatic Go programming style and code clarity. This skill addresses best practices for line breaking, variable declaration intent, control flow structure (e.g., early returns, switch usage), and function design principles. Use it when writing, reviewing, or establishing project-wide coding standards to ensure maximum readability and maintainability.

This skill provides comprehensive guidance on idiomatic Go patterns for building production-ready, robust applications. It covers best practices like functional options, proper constructor design, resource management (timeouts, graceful shutdown), error handling, concurrency patterns, and architectural styles (DDD, Hexagonal). Use it when structuring complex Go APIs, defining service boundaries, or auditing existing code for common anti-patterns and performance pitfalls.

A comprehensive guide to achieving high code quality in Go projects using `golangci-lint`. This skill covers the entire development lifecycle, including setting up the essential `.golangci.yml` configuration, running automated linters (style, security, complexity), automatically fixing issues, interpreting detailed lint output, and correctly suppressing false positives using `//nolint` directives. Ideal for enforcing best practices in CI/CD pipelines and maintaining legacy codebases.

Compressed code review style that outputs one-line findings with location, problem, and fix. Use for terse, actionable PR reviews. Ideal for developers who want fast, blunt feedback without fluff.

This expert system generates a comprehensive and best-practice-oriented .editorconfig file. It analyzes the project structure and user preferences to enforce coding style consistency (e.g., spaces vs. tabs, indentation size, line endings, trailing whitespace) across diverse IDEs and text editors. Essential for maintaining clean, standardized code across development teams and version control systems.

This specialized skill automates the process of converting visual designs (from Stitch) into high-quality, modular React and Vite components. It adheres to modern frontend best practices, enforcing logic isolation via custom hooks, data decoupling using mock data files, and ensuring type safety with TypeScript interfaces. The workflow includes automated asset fetching, style mapping (Tailwind), and rigorous validation cycles to produce production-ready, maintainable code.

This workflow is designed for developers building design-to-code pipelines. It connects to Figma via API to extract core design tokens, including colors, typography styles, and spacing values. It converts these raw design assets into structured code formats, such as CSS custom properties, JSON tokens, and Tailwind configurations, ensuring design consistency across development environments.

A comprehensive skill for building enterprise-grade integrations with Figma. It covers the full OAuth 2.0 authorization code flow, token refreshing, and secure handling of user access tokens. It provides methods for managing team structures, listing projects, accessing components/styles, and utilizing advanced, enterprise-only features like the Variables API.

Cavecrew defines three subagent presets (investigator, builder, reviewer) that return compressed caveman-style output for code search, small edits, and diff review. Use them to shrink token overhead, preserve main context, and run longer multi-step coding sessions.

Generates professional PNG icon image sets for the Xcode Asset Catalog, supporting both massive open-source collections via Iconify API and native Apple symbols via SF Symbols. Use this tool to streamline the creation, search, and replacement of app icons, ensuring consistency in style, size, and color across your iOS project.

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).