Identifies Go anti-patterns and smells in codebases with actionable feedback.
npx skills add https://github.com/skyosev/agent-skills --skill smell-hunter-go
Please help me install this Agent Skill. Skill: smell-hunter-go Source: https://github.com/skyosev/agent-skills/tree/main/hunter-party-go/smell-hunter-go Command: npx skills add https://github.com/skyosev/agent-skills --skill smell-hunter-go
Audit Go code for design and maintainability issues by flagging classic smells such as feature envy, data clumps, shotgun surgery, primitive obsession, temporal coupling, comments as deodorant, and init() abuse, enabling targeted refactors.
Start by running the smell hunter on your Go codebase to surface actionable findings for refactor planning.
High-intent search queries and answers about installing and using this skill.
You can detect Go code smells by analyzing packages for feature envy, data clumps, and primitive obsession. The audit provides actionable guidance with precise file:line evidence, avoiding non-idiomatic missteps and generic SOLID critiques.
Common Go code smells include feature envy, data clumps, shotgun surgery, primitive obsession, temporal coupling, comments as deodorant, and init() abuse. Identifying these antipatterns helps surface root design problems and improve domain modeling.
Plan refactoring for Go code by auditing for smells like primitive obsession and temporal coupling. This surfaces root causes and actionable improvements, enabling targeted refactors that improve cohesion and idiomatic Go.
No, this Go audit explicitly avoids SOLID critiques and non-Go-idiom missteps. It focuses entirely on detecting classic Go code smells and antipatterns to provide idiomatic, actionable refactoring guidance.
Yes, you can detect shotgun surgery and data clumps across Go packages. The audit identifies these and other structural smells, providing precise file:line evidence to guide targeted refactoring and improve cohesion.
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