mt-improve-skill
CommunityEmpirically improve AI instructions through evaluation
Software Engineering#prompt engineering#ai agents#empirical testing#workflow optimization#skill evaluation#instruction tuning
Authort-miura-024
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps reduce ambiguity in AI instructions by replacing subjective prompt reviews with repeatable empirical evaluation and iterative improvement.
Core Features & Use Cases
- Prompt Quality Evaluation: Runs unbiased execution scenarios and compares agent outcomes against predefined requirements and metrics.
- Iterative Instruction Refinement: Identifies unclear instructions, traces failure phases, and applies targeted improvements until progress converges.
- Use Case: Improve a frequently used skill, slash command, or agent prompt when the generated results are inconsistent and the root cause may be unclear guidance.
Quick Start
Ask the mt-improve-skill to evaluate and iteratively improve this AI prompt using unbiased execution scenarios and measurable criteria.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mt-improve-skill Download link: https://github.com/t-miura-024/tools/archive/main.zip#mt-improve-skill Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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