skill-creator

Automate AI agent skill lifecycle phases from capture to iteration.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/iconidentify/chonkskill --skill skill-creator-iconidentify
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/iconidentify/chonkskill/tree/main/skills/skillcreator
Command: npx skills add https://github.com/iconidentify/chonkskill --skill skill-creator-iconidentify

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamlines the end-to-end process of building AI agent skills by codifying capture, drafting, testing, grading, and iterative improvement into a repeatable workflow.

Core Features & Use Cases

  • End-to-end skill lifecycle management: CAPTURE, DRAFT, TEST, GRADE, and ITERATE to deliver robust agent capabilities.
  • Includes supporting prompts for graders, comparators, and analyzers to enable structured evaluation.
  • Provides templates and tooling guidance for authoring SKILL.md content and running automated tests via delegate_task.

Quick Start

Create a new skill by outlining requirements, authoring its SKILL.md, and running tests via delegate_task.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I automate the end-to-end lifecycle of building AI agent skills?

You can automate AI agent skill creation by applying a structured workflow that moves through phases: CAPTURE, DRAFT, TEST, GRADE, and ITERATE, ensuring robust capability delivery.

What is the best way to test and evaluate AI agent skills before deployment?

Evaluating AI agent skills uses automated tests executed via delegate_task, followed by structured grading, comparison, and analysis sub-skills to measure performance and guide iteration.

How does a structured workflow help with skill creation and iteration?

A structured skill creation workflow codifies capture, drafting, testing, grading, and iterative improvement into a repeatable process, enabling teams to consistently deliver robust agent capabilities.

Can I use this workflow for team-based agent skill design and validation?

Yes, this workflow applies directly to teams designing new AI agent skills and validating them with tests, providing templates and tooling guidance for authoring SKILL.md content and running automated evaluations.

What do I need to start authoring and refining agent skills?

To start authoring and refining agent skills, you outline your requirements, draft the SKILL.md content using provided templates, and run automated tests via delegate_task to evaluate and iterate on performance.