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.