Skill UI

This comprehensive guide provides best practices for creating, reviewing, and auditing documentation for Go projects. It covers writing principles (e.g., Intent over paraphrase, Concision), structuring documentation (godoc comments, README, CHANGELOG), and workflow orchestration for both libraries and CLI applications. Ideal for technical writers and developers ensuring code is discoverable and maintainable.

A comprehensive guide detailing recommended naming conventions for various Go language elements, including packages, structs, interfaces, constants, functions, and error handling. Use this skill when writing, reviewing, or refactoring Go code to ensure adherence to idiomatic Go style.

Defensive Golang guidance for avoiding panics, nil traps, append aliasing, overflow, float comparison bugs, and resource leaks. Useful for writing safer code and reviewing runtime risks.

This skill guides users through advanced security auditing and best practices for Golang development. It acts as a senior security engineer, focusing on defense in depth by analyzing critical areas like injection patterns, cryptography, secrets management, and authorization flaws. It supports full codebase audits (using STRIDE and DREAD scoring) and precise PR vulnerability reviews, ensuring secure and resilient Go applications.

Checks Microsoft SDK code by verifying API signatures, fetching docs, and finding Azure samples before writing or reviewing code that touches .NET or Microsoft APIs.

This meta-skill set provides a structured framework covering the entire software development lifecycle (SDLC). It guides developers through every phase, from initial concept refinement and requirement specification to incremental implementation, testing, code review, and deployment. It enforces critical professional behaviors like surfacing assumptions, managing ambiguity, and maintaining scope discipline to ensure high-quality, robust engineering outcomes.

This framework provides a rigorous, multi-dimensional guide for conducting code reviews. It evaluates five critical axes: correctness, readability, architecture, security, and performance. Use this process before merging any code change, especially when reviewing PRs, refactoring, or evaluating code produced by AI agents, to ensure continuous improvement and maintain high code health.

Streamlines the process of providing code review feedback by enforcing a highly structured, ultra-compressed format. It guides users to cut through noise and deliver actionable, single-line comments (Location: Problem. Fix.) while maintaining critical context like severity and technical rationale. Ideal for team settings prioritizing efficiency and high code quality.

Behavioral guidelines for writing, reviewing, and refactoring code with LLMs, emphasizing minimalism, clear assumptions, surgical edits, and verifiable success criteria to avoid common machine-assisted coding mistakes.

This skill provides robust mechanisms to verify the integrity of AI agent plugins, tools, and dependencies. It generates deterministic SHA-256 manifests (INTEGRITY.json) for all components, allowing users to detect unauthorized modifications, track provenance, and ensure that deployed assets match their published versions. Use this during CI/CD pipelines, code review, and pre-production promotion to secure the entire agent ecosystem.

A comprehensive code review tool designed for C#/.NET projects. It evaluates the implementation of key design patterns (Command, Factory, Repository) and adherence to SOLID principles. The review covers architecture, best practices (async/await, logging), security, testability, and clean code principles, providing actionable recommendations for improvement.

This comprehensive guide provides a structured set of prompts to manage the entire lifecycle of upgrading a legacy .NET solution. It covers everything from initial project classification and dependency compatibility review to code modernization (e.g., async conversion), updating CI/CD pipelines, and defining robust testing and deployment strategies. Ideal for large-scale migration of older .NET applications to modern frameworks like .NET 8.