review-multi
Review-Multi
Overview
review-multi provides a systematic framework for conducting comprehensive, multi-dimensional reviews of Claude Code skills. It evaluates skills across 5 independent dimensions, combining automated validation with manual assessment to deliver objective quality scores and actionable improvement recommendations.
Purpose: Systematic skill quality assurance through multi-dimensional assessment
The 5 Review Dimensions:
- Structure Review - YAML frontmatter, file organization, naming conventions, progressive disclosure
- Content Review - Section completeness, clarity, examples, documentation quality
- Quality Review - Pattern compliance, best practices, anti-pattern detection, code quality
- Usability Review - Ease of use, learnability, real-world effectiveness, user satisfaction
- Integration Review - Dependency documentation, data flow, component integration, composition
Automation Levels:
- Structure: 95% automated (validate-structure.py)
- Content: 40% automated, 60% manual assessment
- Quality: 50% automated, 50% manual assessment
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