Tooluniverse Variant Interpretation

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by mims-harvard · vlatest · Repository

This skill interprets ToolUniverse variant instructions, ensuring accurate execution and minimizing errors for complex tasks.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add tooluniverse-variant-interpretation npx -- -y @trustedskills/tooluniverse-variant-interpretation
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "tooluniverse-variant-interpretation": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/tooluniverse-variant-interpretation"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

tooluniverse-variant-interpretation

What it does

This skill enables AI agents to interpret and process variant data, allowing for the analysis of different versions or configurations within a dataset. It facilitates the transformation of raw variant information into actionable insights by understanding structural differences between entries.

When to use it

  • Analyzing multiple versions of a product specification to identify key changes.
  • Processing genetic sequence variants to determine phenotypic impacts.
  • Comparing configuration files across different deployment environments.
  • Evaluating A/B test results where data points represent distinct user experience variants.

Key capabilities

  • Interprets complex variant structures and metadata.
  • Compares differences between variant entries.
  • Extracts specific attributes from heterogeneous variant datasets.
  • Formats output for downstream analysis or reporting.

Example prompts

  • "Interpret the following list of software build variants and summarize the unique features added in version 2.0."
  • "Analyze these genetic sequence variants to identify which ones are marked as pathogenic based on the provided annotations."
  • "Compare the configuration parameters across these three product variants and highlight any deprecated settings."

Tips & gotchas

Ensure your input data includes clear metadata or naming conventions for variants, as the skill relies on structural consistency to function correctly. Limit inputs to a single logical dataset to avoid confusion between unrelated variant types.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
mims-harvard
Installs
77

🌐 Community

Passed automated security scans.