skill-creator

Creates, modifies, and optimizes AI skills with testing and feedback.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/liujiayi3703/scientific-research-skills --skill skill-creator-liujiayi3703
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/liujiayi3703/scientific-research-skills/tree/main/library/skills/skill-creator
Command: npx skills add https://github.com/liujiayi3703/scientific-research-skills --skill skill-creator-liujiayi3703

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires scripts.aggregate_benchmark, scripts.run_loop, scripts.package_skill, scripts.generate_report, agents.comparator, agents.analyzer, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill unit provides a comprehensive toolkit for creating, modifying, and optimizing AI skills, addressing the challenges of skill development and performance enhancement.

Core Features & Use Cases

  • Skill Creation: Guided process for drafting, testing, and refining new skills.
  • Skill Modification: Iterative improvement of existing skills based on feedback and testing.
  • Skill Performance Measurement: Benchmarking and optimization of skill performance through quantitative and qualitative metrics.
  • Use Case: Develop a skill for generating code from natural language descriptions, refine it through multiple iterations, and measure its performance against a set of predefined benchmarks.

Quick Start

Use the skill-creator skill to initiate the process of creating a new skill, providing the desired functionality and context.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I start AI skill development from a natural language description?▼

AI skill development starts by providing the desired functionality and context to initiate a guided process for drafting, testing, and refining new skills. This workflow handles everything from initial creation to iterative improvement.

What is the best way to iteratively improve existing AI skills?▼

Iterative improvement of AI skills is achieved through a modification workflow that incorporates testing and collected feedback. This process refines existing skills continuously to enhance their overall performance.

How does performance benchmarking work for AI crafting workflows?▼

Performance benchmarking measures AI crafting workflows by evaluating skills against predefined benchmarks using quantitative and qualitative metrics. This generates reports that guide targeted optimization.

Do I need specific dependencies to run skill optimization and benchmarking?▼

Skill optimization and benchmarking require specific dependencies like aggregate benchmark scripts, run loop scripts, and analyzer agents. These components execute the testing, analysis, and reporting functions.

Can I use this workflow to package and generate reports for newly created skills?▼

You can package skills and generate reports using dedicated scripts within the workflow. This outputs finalized skill units and performance documentation after the testing and analysis phases.