Analyze Go repositories for architectural flaws and generate prioritized remediation plans.
npx skills add https://github.com/dewitt/swarm --skill code-review-dewitt
Please help me install this Agent Skill. Skill: code_review Source: https://github.com/dewitt/swarm/tree/main/skills/code_review Command: npx skills add https://github.com/dewitt/swarm --skill code-review-dewitt
This skill enables teams to systematically identify architectural flaws, dead code, and maintenance bottlenecks in large codebases, providing actionable recommendations to improve reliability and readability.
Review the current repository state and surface top-priority improvements for immediate action.
High-intent search queries and answers about installing and using this skill.
To find architectural flaws in a Golang codebase, you need a comprehensive code review that applies static analysis tools like go vet and golangci-lint to identify coupling issues, dead code, and maintainability bottlenecks. This process audits structural patterns and generates a prioritized remediation plan to improve reliability and readability.
The best way to check documentation alignment is to perform a documentation review that audits inline comments and README.md files against the actual Go implementation. This ensures your documentation accurately reflects the codebase, preventing maintenance bottlenecks and improving overall readability.
To generate a prioritized remediation plan for scalability issues in Go, run a risk-focused code review that combines static analysis, unit tests, and structural audits. This surfaces critical maintainability issues and provides actionable recommendations for immediate implementation.
Yes, golangci-lint supports detecting dead code and maintenance bottlenecks by running static analysis on your Go repository. When integrated into a structural code review, it identifies idiomatic pattern violations and architectural flaws, providing a comprehensive view of your codebase's health.
Yes, you can use static analysis to assess dependencies and unit test coverage in Go projects. A comprehensive code review evaluates your test suite alongside architectural coupling, ensuring your codebase meets robustness and scalability requirements while identifying critical gaps.
Your Go codebase needs a structural code review before scaling to systematically identify architectural flaws and dead code that create maintenance bottlenecks. This review provides actionable recommendations to improve reliability and readability, ensuring your codebase can handle increased scalability demands.
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