Skip to content
TrustedSkillsbeta
Back to all skills

Spec Product Clarify

Listed
zixun-github·vlatest·writing

This skill clarifies specific product details by extracting key information and summarizing it concisely for quick understanding.

Repository

Install on your platform

This skill no longer installs under the name spec-product-clarify. zixun-github/aisdlc is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-22. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

zixun-github

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as zixun-github/aisdlc.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.