skill-creator

Codify the end-to-end Claude skill lifecycle from ideation through deployment.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/han-so1omon/ikam --skill skill-creator-han-so1omon
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/han-so1omon/ikam/tree/main/skills/skill-creator
Command: npx skills add https://github.com/han-so1omon/ikam --skill skill-creator-han-so1omon

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured, end-to-end workflow to create, evaluate, and improve Claude skills, making it easier to move from initial draft to a production-ready capability with measurable performance.

Core Features & Use Cases

  • End-to-end skill lifecycle: ideation, drafting prompts, running evaluations, benchmarking, and description optimization.
  • Built-in evaluation and benchmarking tooling to quantify trigger accuracy, latency, and reliability.
  • Guidance and templates for iterating based on feedback, reducing guesswork and overfitting.
  • Clear collaboration flow: capture results, generate improvements, and prepare deployment-ready descriptions.

Quick Start

Draft your first skill, write initial prompts, run evals to measure performance, and iterate until you achieve reliable results.

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 evaluate a prompt workflow for Claude skills?

To create and evaluate Claude skills, you can use a structured workflow to draft prompts, execute evaluations, benchmark performance, and refine trigger descriptions until production-ready.

What is the best way to benchmark Claude skill performance and trigger accuracy?

Benchmarking Claude skill performance is done using built-in evaluation tooling to quantify trigger accuracy, latency, and reliability, generating measurable results for review and iteration.

How do I refine trigger descriptions to improve skill reliability?

Refining trigger descriptions involves applying a structured workflow that evaluates prompt performance, benchmarks results, and iterates based on feedback to optimize skill reliability.

Can I hold out evaluation data to prevent overfitting during skill creation?

Yes, the skill creation workflow integrates evaluation tooling that holds out data as configured, reducing guesswork and overfitting while recording results for review.

Does this skill lifecycle workflow support end-to-end deployment preparation?

The workflow supports end-to-end deployment preparation by moving skills from ideation through prompt drafting and evaluation to generating deployment-ready descriptions.

What is needed to start drafting and evaluating Claude skills?

To start drafting and evaluating Claude skills, you need an initial concept to define prompts, run evaluations to measure performance, and iterate based on benchmarked feedback.