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taxueseek
taxueseekCOMMUNITY
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taxue-skill

Diagnose AI skills across six dimensions and apply targeted optimizations.

21|5|Updated Mar 11, 2026
Search Tags:#optimization#triggers#reusability#diagnose#skill#token-efficiency#boundary
One-click install
npx skills add https://github.com/taxueseek/taxueskills --skill taxue-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: taxue-skill
Source: https://github.com/taxueseek/taxueskills/tree/main/taxue-skill
Command: npx skills add https://github.com/taxueseek/taxueskills --skill taxue-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnose and optimize AI skills to improve triggering, boundary clarity, and overall efficiency.

Core Features & Use Cases

  • Six transformation modes: diagnosis, optimization, trigger optimization, boundary refinement, evaluation, and refactoring to progressively improve skills.
  • Diagnostic framework across six dimensions (trigger rate, boundary clarity, token efficiency, routing completeness, context efficiency, and process clarity) to guide targeted improvements.
  • Lightweight governance for releasing, publishing, and reusing skills within a repo, including guidelines for self-diagnosis and iteration.

Quick Start

Follow the six-diagnostic dimensions to audit a skill and implement concrete changes to improve reliability and efficiency.

Frequently Asked Questions about taxue-skill

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

FAQPage Schema
How do I diagnose and optimize an AI skill to improve trigger rates and boundaries?▼

To optimize an AI skill, you can apply a six-diagnostic framework targeting trigger rate, boundary clarity, token efficiency, routing completeness, context efficiency, and process clarity to guide targeted improvements and actionable changes.

What is the best way to evaluate AI skill token efficiency and routing completeness?▼

Evaluating AI skill token efficiency and routing completeness involves running a diagnostic audit across six dimensions, which identifies inefficiencies and provides actionable change guidance for lightweight refactoring and reproducible iteration.

Can I use a diagnostic framework to refine skill boundaries and support repo-level reusability?▼

Yes, you can apply boundary refinement modes within a six-diagnostic framework to tighten skill boundaries, enabling lightweight governance for releasing, publishing, and reusing skills within a repository.

How do I refactor AI skills for better triggering and context efficiency?▼

Refactoring AI skills for better triggering and context efficiency requires applying diagnostic feedback to implement concrete changes, progressively improving reliability through trigger optimization and clear success criteria.

Does AI skill optimization require specific dependencies or components to run diagnostics?▼

No specific dependencies or components are required to run AI skill diagnostics, as the framework operates directly on skill units within code repositories to provide diagnostic feedback and lightweight refactoring guidance.

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