skill-creator

Create, modify, and evaluate skills with automated description optimization.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/Prirogativus/devlab --skill skill-creator-prirogativus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Prirogativus/devlab/tree/main/.claude/plugins/marketplaces/claude-plugins-official/plugins/skill-creator/skills/skill-creator
Command: npx skills add https://github.com/Prirogativus/devlab --skill skill-creator-prirogativus

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of creating new skills, modifying existing ones, and measuring their performance. It streamlines the iterative improvement of skills and provides tools for triggering accuracy optimization.

Core Features & Use Cases

  • Skill Creation: Assist users in designing new skills from scratch, defining their triggers, and structuring their outputs.
  • Skill Modification: Allow users to update and refine existing skills based on feedback and evaluation.
  • Skill Evaluation: Provide a framework for running tests and benchmarks to assess skill performance.
  • Description Optimization: Offer automated optimization of skill descriptions for better triggering accuracy.
  • Use Case: For instance, a user can use this Skill to create a skill that generates financial reports, test it, and then optimize its description to trigger more effectively.

Quick Start

Run the skill-creator to start the process of creating a new skill or improving an existing one. Follow the prompts to define the skill's intent, input requirements, and expected output.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create and optimize AI skill descriptions for better triggering accuracy?

To optimize AI skill descriptions for triggering accuracy, use this skill to automate the design and iterative improvement of your skill metadata. It provides Python scripts for benchmarking and parallel evaluation to refine triggers effectively.

What is the best way to evaluate and benchmark skill performance during development?

Evaluating skill performance requires running benchmarks and tests within an evaluation framework. This skill provides a structured testing environment utilizing parallel subagent execution to measure and assess your skill's operational effectiveness.

How do I modify existing skills based on testing feedback?

Modifying existing skills involves updating their structure and refining descriptions based on evaluation feedback. This skill streamlines the iterative improvement process, allowing you to test, evaluate, and update skill definitions seamlessly.

Can I use parallel subagents for AI skill evaluation and benchmarking?

Yes, parallel subagents are required for executing this skill's evaluation and benchmarking processes. They enable concurrent performance testing and description optimization to ensure accurate skill triggering.

Do I need Python scripts to automate skill creation and description optimization?

Python scripts are utilized internally by this skill to automate processing, benchmarking, and description optimization. You do not need to write scripts manually; the skill manages the execution for you.

What are the limitations of automating skill modification and evaluation?

Automation limitations include the strict requirement for parallel subagents to run evaluations and the dependency on Python scripts for processing. Complex skill logic may require manual refinement beyond automated description optimization.