Detects architecture and code smells and produces a markdown report.
npx skills add https://github.com/smallnest/goal-workflow --skill smell-smallnest
Please help me install this Agent Skill. Skill: smell Source: https://github.com/smallnest/goal-workflow/tree/main/skills/smell Command: npx skills add https://github.com/smallnest/goal-workflow --skill smell-smallnest
Helps teams identify architecture, coupling, cohesion, design, testing, naming, and complexity problems in a codebase before they become expensive to change.
Ask the smell skill to analyze the entire project and generate a markdown report with the most important architecture and code smells.
High-intent search queries and answers about installing and using this skill.
To detect architecture and code smells in a codebase, run a full-project scan that identifies anti-patterns like God Objects and circular dependencies. The analysis produces a structured markdown report with severity ratings, evidence, and a refactoring roadmap.
Common code anti-patterns found during a codebase review include Big Ball of Mud, circular dependencies, God Objects, duplicated code, and N+1 query patterns. Identifying these architecture and code smells early helps prevent expensive changes later.
You generate a refactoring roadmap for problematic modules by performing a deep dive complexity hotspot detection analysis. This creates an actionable markdown report featuring module health scores, dependency analysis, and severity levels to guide your refactoring efforts.
Yes, you can scan recent code changes for anti-patterns instead of the full project. The analysis applies to scoped module reviews and recent-change analysis, producing a focused markdown report with evidence and severity ratings for the targeted modifications.
A module health scorecard for architecture analysis includes severity ratings, evidence of code smells, and dependency analysis. It evaluates coupling, cohesion, design, testing, naming, and complexity problems to produce an actionable refactoring roadmap.
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