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Marketplace Analysis

marketplace-analysis

Use when reviewing plugin quality, auditing plugins, analyzing the marketplace, checking plugins against Anthropic standards, or evaluating plugin architecture - provides systematic analysis methodology with validation framework

SKILL.md

Full skill instructions

Marketplace Analysis

Analyze Claude Code plugins to achieve Anthropic-level quality standards.

Core Philosophy

Anthropic Quality Bar: Same or more functionality with leaner, more efficient implementation.

Principles:

  • Systems thinking over point fixes
  • Elegant simplicity over feature accumulation
  • Proven improvements over assumptions
  • Deletion over addition

Analysis Process

1. Quick Scan

  • Count plugins and components
  • Note obvious issues (large files, naming inconsistencies)
  • Flag files >500 lines

2. Deep Analysis (per plugin)

  1. Read SKILL.md files - check trigger phrases, writing style
  2. Read agent descriptions - check triggering examples
  3. Read commands - check argument handling
  4. Check hooks - validate event usage
  5. Map interactions - how components work together

3. Cross-Plugin Analysis

  • Find redundancy across plugins
  • Check consistency (naming, patterns, styles)
  • Identify gaps and conflicts

4. Reference Validation

For each skill, verify bundled references exist:

  1. Extract paths from SKILL.md:

    • references/​*.md mentions
    • scripts/​*.sh or scripts/​*.py mentions
    • Markdown links: [text](relative/​path)
  2. Validate each path:

    • Resolve relative to skill directory
    • Check file exists with Glob
    • Flag missing as "broken reference"
  3. Report:

    • Missing references = Priority 1 errors
    • Orphaned files (exist but not referenced) = Priority 3 notes

Anti-Overengineering Checks

Before proposing ANY change:

  1. Is this simpler than the original?
  2. Does this solve a real problem?
  3. Would a new user understand this?
  4. Can I remove instead of add?

Red flags:

  • Adding abstraction for one use case
  • "Might need this later" reasoning
  • Recommending deletion based on filename alone

Output Format

## Priority 1: High Impact, Low Effort
- [ ] [Change] - [Why] - [Expected impact] - [How to validate]

## Priority 2: Medium Impact
...

## Priority 3: Consider Later
...

Each recommendation includes validation approach.

References

For detailed guidance:

  • references/​skill-design-standards.md - Official Anthropic skill-creator guide (authoritative source for skill structure, frontmatter, progressive disclosure)
  • references/​quality-standards.md - Quality criteria checklist, anti-patterns (includes summary of official standards)
  • references/​measuring-improvements.md - Metrics, user testing, validation templates
  • references/​output-patterns.md - Template and examples patterns for consistent output
  • references/​workflows.md - Sequential and conditional workflow patterns

Use scripts/​analyze-metrics.sh for consistent metric collection.

Consulting Documentation

Verify best practices via claude-code-guide subagent before claiming something is "wrong."

Applying Changes

When implementing improvements:

  1. Before any changes: Create TodoWrite items for each improvement
  2. Apply changes: Use Edit tool, one logical change at a time
  3. MANDATORY verification: Use core:verification skill before claiming complete
  4. Evidence required: Run validation commands, report actual output

Never claim "improved" or "fixed" without verification evidence.

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