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abrahamgreyson
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skill-creator

Create, edit, evaluate, and benchmark custom skills across their lifecycle.

Updated May 22, 2026
Search Tags:#skill development#benchmarking#evaluation#skill optimization#performance measurement
One-click install
npx skills add https://github.com/abrahamgreyson/skills-manager --skill skill-creator-abrahamgreyson
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/abrahamgreyson/skills-manager/tree/main/skill-creator
Command: npx skills add https://github.com/abrahamgreyson/skills-manager --skill skill-creator-abrahamgreyson

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The skill-creator Skill solves the problem of creating new skills, modifying and improving existing skills, and measuring skill performance. It streamlines the process of skill development and optimization, providing a platform for iterative enhancement.

Core Features & Use Cases

  • Skill Creation: Build new skills from scratch.
  • Skill Improvement: Edit and optimize existing skills.
  • Performance Measurement: Run evaluations and benchmark skills.
  • Use Case: For users who want to develop a new skill for creating complex workflows or need to optimize a current skill to improve triggering accuracy or performance.

Quick Start

Create a new skill with the 'skill-creator' to build a new skill, then run an evaluation using 'eval-viewer/generate_review.py' to test the skill and collect feedback.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I develop and test new skills from scratch?▼

Skill development from scratch requires drafting the structure, testing, and iterating. You can build new skills, then run evaluations using scripts like generate_review.py to collect feedback and measure performance.

What is the best way to optimize existing skills and improve triggering accuracy?▼

Skill optimization involves editing and iterating on existing metadata and structures. You benchmark performance through evaluations to identify triggering issues and refine the skill for better accuracy and workflow efficiency.

Can I use this for benchmarking and performance measurement of my workflows?▼

Yes, performance measurement is fully supported. You can run evaluations and benchmark skills using provided scripts to test workflows, collect data, and measure execution accuracy.

What do I need to know before creating a skill with this approach?▼

Skill creation requires an understanding of skill structures, metadata, and evaluation methodologies. Familiarity with coding, scripting, and data analysis is necessary to leverage Claude's capabilities effectively.

Does this skill development lifecycle handle both drafting and evaluation?▼

Yes, the skill development lifecycle covers drafting, testing, iterating, and optimizing. It provides a platform for iterative enhancement by streamlining the process from initial creation to final performance measurement.

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