Skill UI

Guides integrating Firebase Cloud Storage with Flutter apps, covering setup, uploads/downloads, metadata, error handling, and security best practices for file management workflows.

A comprehensive guide to structuring robust Flutter applications using industry-standard layered architecture (UI, Domain, Data). It details patterns like MVVM, Repository pattern, and Use Cases, ensuring clean separation of concerns, manageable state flow (unidirectional data flow), and testability. Ideal for scaffolding new, large-scale projects or refactoring legacy codebases.

Guides building production-ready user interfaces with thoughtful component architecture, consistent spacing, typography, color, and accessibility standards while avoiding generic AI aesthetics and over-configured patterns.

Guidelines for writing clear, idiomatic Go code: line breaking, variable declarations, composite literals, control flow, and function design. Useful when reviewing Go code or setting project coding standards.

A comprehensive guide for setting up production-grade CI/CD pipelines for Go projects using GitHub Actions. This skill covers essential quality gates including unit testing, linting (golangci-lint), static analysis security testing (SAST), vulnerability scanning, dependency management, Docker builds, and automated releases using GoReleaser.

A comprehensive guide detailing the internals, memory layout, and performance best practices for Go's built-in and standard library data structures. Covers slice capacity growth, map hashing mechanisms, pointer safety (unsafe/weak), and guides on selecting the most efficient structure for optimal memory usage and runtime performance.

A comprehensive guide for managing the entire lifecycle of Go project dependencies. This skill covers best practices for adding, upgrading, removing, and verifying packages using go.mod and go.sum. It emphasizes critical security measures like vulnerability scanning (govulncheck) and adhering to version control standards, minimizing attack surface, and promoting standard library usage.

A comprehensive guide and persona for technical writers and developers focused on Go code documentation. It outlines best practices for writing, reviewing, and structuring godoc comments, READMEs, CHANGELOGs, and contributing guidelines for both libraries and command-line applications. Use this skill when setting up, writing, or auditing high-quality technical documentation for any Go project.

A comprehensive guide to implementing robust, idiomatic error handling in Go. It covers best practices for error creation, context wrapping using `%w`, type-safe inspection with `errors.Is`/`errors.As`, adhering to the single handling rule, and utilizing structured logging with `slog`. Essential for building scalable, debuggable, and production-ready Go applications.

This skill provides comprehensive linting and static analysis for Go projects using golangci-lint. It enforces numerous best practices, checks for common errors, manages configurations via `.golangci.yml`, and supports auto-fixing. Use it during the entire development lifecycle, including setting up CI/CD pipelines, running pre-commit checks, or refactoring large, legacy Go codebases to ensure high code quality and maintain security standards.

This skill acts as a Go modernization engineer, keeping codebases current with the latest Go idioms and standard library improvements. It proactively detects deprecated APIs, outdated patterns, and suggests adopting modern features (like `errors.Is`, `slog`, etc.). It supports both inline, contextual suggestions during active coding, and full-scan review for CI/CD pipelines, ensuring code safety, correctness, and readability.

A comprehensive skill for engineering high-quality, observable Go services. It guides best practices across five key signals: structured logging (slog), Prometheus metrics, OpenTelemetry tracing, continuous profiling (pprof), and RUM. Use this when instrumenting new features, reviewing PRs, or auditing entire codebases to ensure systems are fully measurable for reliable diagnosis and alerting.