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devtu-optimize-skills

Audit and optimize ToolUniverse skills with evidence grading and structured reports.

Updated May 11, 2026
Search Tags:#completeness#quality-assurance#foundation-data#skill-optimization#evidence-grading#toolcontracts
One-click install
npx skills add https://github.com/AvaTar-ArTs/my-supremepowers --skill devtu-optimize-skills-avatar-arts
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: devtu-optimize-skills
Source: https://github.com/AvaTar-ArTs/my-supremepowers/tree/main/qwen_skills/devtu-optimize-skills
Command: npx skills add https://github.com/AvaTar-ArTs/my-supremepowers --skill devtu-optimize-skills-avatar-arts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured framework for auditing and optimizing ToolUniverse skills, ensuring consistent quality through tool-contract verification, foundation data-layer usage, disambiguation, evidence grading, and standardized output.

Core Features & Use Cases

  • Tool contract verification: ensures tools are invoked with correct parameters via get_tool_info and maintained corrections.
  • Foundation data layer: prioritizes aggregator sources before specialized tools to improve data coverage and consistency.
  • Disambiguation and ID handling: resolves versioned and unversioned IDs, detects naming collisions, and builds robust baselines.
  • Evidence grading and completeness: applies T1-T4 evidence levels, defines quantified minimums, and enforces mandatory sections.
  • Output governance: separates narrative reports from data (JSON/CSV bibliographies) and aggregates data gaps.

Quick Start

Deploy this skill to optimize ToolUniverse skills by applying best practices and generating structured metadata.

Frequently Asked Questions about devtu-optimize-skills

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce a completeness checklist for ToolUniverse skill optimization?▼

To enforce a completeness checklist for ToolUniverse skill optimization, apply this Skill during reviews or creation to mandate tool verification, foundation data layering, disambiguation, and standardized split narrative/report outputs.

What is evidence grading and how does it apply to foundation data layering?▼

Evidence grading applies T1-T4 levels to foundation data layering to quantify minimum data coverage. It prioritizes aggregator sources before specialized tools to improve data consistency and ensure robust baseline reporting.

How do I resolve naming collisions and versioned ID disambiguation in data reporting?▼

Resolve naming collisions and versioned ID disambiguation by applying tool contract verification parameters. This detects versioned and unversioned ID collisions to build robust baselines and maintain data integrity.

Can I separate narrative reports from JSON or CSV bibliographies during skill audits?▼

Yes, you can separate narrative reports from JSON or CSV bibliographies during skill audits. This Skill enforces output governance by splitting narrative text from structured data and aggregating data gaps.

What's the best way to verify tool contracts and correct parameters in ToolUniverse skills?▼

The best way to verify tool contracts is by invoking get_tool_info to ensure tools receive correct parameters. This framework enforces parameter corrections and maintains tool verification throughout the optimization process.

Why does my ToolUniverse skill have data gaps and incomplete reporting?▼

ToolUniverse skills have data gaps and incomplete reporting when foundation data layering and T1-T4 evidence grading are not enforced. Applying a mandatory completeness checklist resolves these issues by aggregating missing data.

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