
Skill Quality Reviewer
Should be used when the user asks to "analyze skill quality", "evaluate this skill"...
Install
npx skills add Galaxy-Dawn/claude-scholar --skill skill-quality-reviewer -g -a claude-code -y- Repository
- Galaxy-Dawn/claude-scholar6k
- Category
- Writing
- Updated
- 16d ago
- License
- MIT
- Context cost
- Mediumabout 2,906 tokens
- Runs scripts
- Yes, review before use
What it does
This skill should be used when the user asks to "analyze skill quality", "evaluate this skill", "review skill quality", "check my skill", or "generate quality report". Evaluates local skills across description quality, content organization, writing style, and structural integrity.
Skill Quality Reviewer
Overview
A meta-skill for evaluating the quality of Claude Skills. Perform comprehensive analysis across four key dimensions, description quality (25%), content organization (30%), writing style (20%), and structural integrity (25%), to generate weighted scores, letter grades, and actionable improvement plans.
Use this skill to validate skills before sharing, identify improvement opportunities, or ensure compliance with skill development best practices.
When to Use This Skill
Invoke this skill when:
- Analyzing a skill's quality before distribution
- Reviewing skill documentation for best practices
- Evaluating adherence to skill development standards
- Generating improvement recommendations for existing skills
- Validating skill structure and completeness
Trigger phrases:
- "Analyze skill quality for ./my-skill"
- "Evaluate this skill: ~/.claude/skills/api-helper"
- "Review skill quality of git-workflow"
- "Check my skill for best practices"
- "Generate quality report for this skill"
Review Modes
Use one of three review modes depending on the task:
- score-only
- fast first-pass grading for one skill.
- remediation-backlog
- convert findings into P0 / P1 / P2 fix queues with concrete evidence.
- batch-portfolio
- review multiple skills together, cluster repeated issues, and produce a prioritized shortlist.
Prefer remediation-backlog when the user asks what to fix next.
Prefer batch-portfolio when auditing many skills at once.
Analysis Workflow
Step 1: Load the Skill
Accept skill path as input. Verify the path exists and contains SKILL.md. Read the complete skill directory structure.
# Example invocation
ls -la ~/.claude/skills/target-skill/
Validate:
- SKILL.md exists
- Directory is readable
- Path points to a valid skill
Step 2: Parse YAML Frontmatter
Extract and validate the YAML frontmatter from SKILL.md.
