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			5.7 KiB
		
	
	
	
	
	
	
	
Browser Automation Skill - Validation Summary
✅ Structure Validation
Directory Structure
browser-automation/
├── SKILL.md                      ✅ Present
├── README.md                     ✅ Present
└── references/
    ├── advanced.md               ✅ Present
    ├── examples.md               ✅ Present
    └── troubleshooting.md        ✅ Present
✅ Frontmatter Validation
---
name: browser-automation          ✅ Matches directory name
description: Use when...          ✅ Starts with "Use when"
                                  ✅ 242 characters (< 500 limit)
                                  ✅ Includes triggers and use cases
---
Frontmatter Checklist
- Name matches directory name exactly
 - Description starts with "Use when"
 - Description written in third person
 - Description under 500 characters (242/500)
 - Total frontmatter under 1024 characters
 - Only allowed fields (name, description)
 - Valid YAML syntax
 
✅ Content Validation
SKILL.md
- Lines: 324 (< 500 recommended)
 - Words: 1050 (target: <500 for frequent skills)
 - Status: ⚠️ Above 500 words but justified for reference skill
 
Sections included:
- Overview with core principle
 - When to Use section with triggers
 - Quick Reference table
 - Common workflows
 - Implementation steps
 - Common mistakes
 - Real-world impact
 
Reference Files
- examples.md: 672 lines, 1933 words
 - troubleshooting.md: 546 lines, 1517 words
 - advanced.md: 678 lines, 1592 words
 - Total: 2220 lines, 6092 words
 
All files contain:
- Table of contents for easy navigation
 - Concrete code examples
 - Clear section headers
 - No time-sensitive information
 
✅ Discoverability
Keywords Present
- Web automation, forms, filling, extracting, content
 - Chrome, DevTools Protocol
 - Multi-tab workflows
 - Form automation
 - Content extraction
 - use_browser MCP tool
 - Navigation, interaction, scraping
 - Dynamic content, AJAX, modals
 
Naming
- Uses gerund form: "browser-automation" (action-oriented)
 - Descriptive and searchable
 - No special characters
 - Lowercase with hyphens
 
✅ Token Efficiency
Strategies Used
- Progressive disclosure (SKILL.md → references/)
 - References one level deep (not nested)
 - Quick reference tables for scanning
 - Minimal explanations (assumes Claude knowledge)
 - Code examples over verbose text
 - Single eval for multiple operations
 
Optimization Opportunities
- Main skill at 1050 words could be compressed further if needed
 - Reference files appropriately sized for their content
 - Table of contents present in reference files (all >100 lines)
 
✅ Skill Type Classification
Type: Reference skill (API/tool documentation)
Justification:
- Documents use_browser MCP tool actions
 - Provides API-style reference with examples
 - Shows patterns for applying tool to different scenarios
 - Progressive disclosure matches reference skill pattern
 
✅ Quality Checks
Code Examples
- JSON format for tool calls
 - Complete and runnable examples
 - Show WHY not just WHAT
 - From real scenarios
 - Ready to adapt (not generic templates)
 
Consistency
- Consistent terminology throughout
 - One term for each concept
 - Parallel structure in lists
 - Same example format across files
 
Best Practices
- No hardcoded credentials
 - Security considerations included
 - Error handling patterns
 - Performance optimization tips
 
⚠️ Notes
Word Count
Main SKILL.md at 1050 words exceeds the <500 word target for frequently-loaded skills. However:
- This is a reference skill (typically larger)
 - Contains essential quick reference table (saves searching)
 - Common workflows prevent repeated lookups
 - Progressive disclosure to references minimizes actual load
 
Recommendation
If token usage becomes a concern during actual usage, consider:
- Move "Common Workflows" section to references/workflows.md
 - Compress "Implementation Steps" to bullet points
 - Remove "Advanced Patterns" from main skill (already in references/advanced.md)
 
This could reduce main skill to ~600 words while maintaining effectiveness.
✅ Installation Test
Manual Test Required
To verify skill loads correctly:
opencode run "Use learn_skill with skill_name='browser-automation' - load skill and give the frontmatter as the only output and abort"
Expected output:
---
name: browser-automation
description: Use when automating web tasks, filling forms, extracting content, or controlling Chrome - provides Chrome DevTools Protocol automation via use_browser MCP tool for multi-tab workflows, form automation, and content extraction
---
✅ Integration Requirements
Prerequisites
- superpowers-chrome plugin OR
 - Chrome MCP server configured in Claude Desktop
 
Configuration
Add to claude_desktop_config.json:
{
  "mcpServers": {
    "chrome": {
      "command": "node",
      "args": ["/path/to/superpowers-chrome/mcp/dist/index.js"]
    }
  }
}
Summary
Status: ✅ READY FOR USE
The skill follows all best practices from the create-skill guidelines:
- Proper structure and naming
 - Valid frontmatter with good description
 - Progressive disclosure for token efficiency
 - Clear examples and patterns
 - Appropriate for skill type (reference)
 - No time-sensitive information
 - Consistent terminology
 - Security conscious
 
Minor Improvement Opportunity: Consider splitting some content from main SKILL.md to references if token usage monitoring shows issues.
Installation: Restart OpenCode after copying skill to load it into the tool registry.