Spec Product Clarify
This skill clarifies specific product details by extracting key information and summarizing it concisely for quick understanding.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add spec-product-clarify npx -- -y @trustedskills/spec-product-clarify
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"spec-product-clarify": {
"command": "npx",
"args": [
"-y",
"@trustedskills/spec-product-clarify"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
spec-product-clarify
What it does
This skill enables AI agents to interact with product specification data, allowing them to retrieve detailed attributes and compare features across different items. It streamlines the process of gathering precise technical details required for decision-making or analysis.
When to use it
- You need to extract specific technical parameters from a complex product catalog.
- An agent must compare feature sets between competing products to find the best fit.
- You require structured data output regarding material composition, dimensions, or performance metrics.
- A workflow involves validating user requests against available inventory specifications.
Key capabilities
- Retrieval of detailed product attributes from specification sources.
- Comparison logic for evaluating multiple items side-by-side.
- Structured extraction of technical data points.
- Integration with external product databases or internal knowledge bases.
Example prompts
- "Compare the battery life and charging speeds of the top three laptops in the current lineup."
- "Retrieve the full material composition and weight specifications for model X-200."
- "List all products that meet the requirement of having at least 512GB storage and a minimum 3-year warranty."
Tips & gotchas
Ensure your AI agent has access to the correct product database or API endpoints before querying specific models. If specifications are ambiguous in the source data, explicitly ask the agent to highlight missing information rather than assuming defaults.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.