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FlavioCFOliveira
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skill-creator

Create and refine AI skills with SKILL.md and test case evaluations.

Updated Mar 11, 2026
Search Tags:#skill development#prompt engineering#benchmarking#evaluation#iterative development#ai tools
One-click install
npx skills add https://github.com/FlavioCFOliveira/Gocene --skill skill-creator-flaviocfoliveira
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/FlavioCFOliveira/Gocene/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/FlavioCFOliveira/Gocene --skill skill-creator-flaviocfoliveira

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the entire process of creating, improving, and evaluating AI-powered skills, making it easier to build powerful custom tools.

Core Features & Use Cases

  • Skill Creation: Guides users through defining intent, interviewing, and writing SKILL.md for new skills.
  • Iterative Improvement: Facilitates testing, feedback collection, and refinement of existing skills.
  • Performance Measurement: Runs evaluations and benchmarks to quantify skill effectiveness.
  • Description Optimization: Enhances skill triggering accuracy through targeted prompt testing.
  • Use Case: You have an idea for a new skill to help manage project timelines. Use this Skill to draft the SKILL.md, create test cases, run evaluations against a baseline, analyze the results, and refine the skill until it performs as expected.

Quick Start

Use the skill-creator to help me build a new skill that can summarize meeting transcripts.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I build and test custom AI skills from scratch?▼

To build custom AI skills, follow a structured process encompassing intent capture, user interviewing, writing the SKILL.md file, generating test cases, and executing evaluations to streamline creation and iterative refinement.

What is the best way to benchmark AI prompt performance?▼

Benchmark AI prompt performance by running targeted evaluations against a baseline. This performance measurement quantifies skill effectiveness by analyzing test results and integrating feedback for iterative development.

How does iterative development improve prompt engineering?▼

Iterative development improves prompt engineering by facilitating continuous testing, feedback collection, and refinement. This cycle enhances skill triggering accuracy and overall capability through structured description optimization.

Can I optimize AI tool descriptions for better triggering accuracy?▼

Yes, you can optimize AI tool descriptions for better triggering accuracy through targeted prompt testing. Description optimization enhances how reliably a skill is invoked by analyzing and refining its metadata.

Do I need specific frameworks to generate AI skill test cases?▼

No specific external frameworks are required to generate AI skill test cases. The workflow relies on a structured internal process to create test scenarios, execute performance benchmarks, and evaluate results without dependencies.

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