superclaude-enhancer

SuperClaude Enhancer adds pre-analysis context enrichment and post-review quality checks to existing Skills. Attach it to your Skill pipeline using the `/sc:analyze` command with your task and target files to enrich outputs before generation and validate them after.

Yes. The Enhancer integrates into code factory and AI development pipelines to run post-review checks, troubleshooting diagnostics, and intelligent suggestions that catch issues and recommend optimizations without manual intervention.

SuperClaude Enhancer provides research-oriented assistance and troubleshooting workflows through defined enhancement hooks. It quickly diagnoses issues, explains problems, and conducts targeted research to inform decisions across your project.

No dependencies or components are required. The Enhancer works as a standalone integration layer—attach it to any Skill and configure enhancement hooks for your workflow without additional setup.

Smart suggestions offer optimization ideas, patterns, and best practices tailored to your code context. The Enhancer analyzes your outputs and recommends pragmatic improvements to reduce manual refinement.

Yes. Run pre-analysis to enrich task context and requirements before generation begins. This surfaces gaps, dependencies, and constraints early, improving the quality and relevance of downstream outputs.