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bthornton191
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skill-creator

Create, evaluate, and refine SKILL.md definitions for Copilot-like skills.

Updated Aug 27, 2026
Search Tags:#automation#workflow#evaluation#iteration#skill-creation#prompt-engineering
One-click install
npx skills add https://github.com/bthornton191/adams_skills --skill skill-creator-bthornton191
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/bthornton191/adams_skills/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/bthornton191/adams_skills --skill skill-creator-bthornton191

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create, evaluate, and iteratively improve new skills for AI copilots by defining a clear entrypoint (SKILL.md) with a name and description, outlining the workflow body, and coordinating optional bundles (scripts/references/assets) for on-demand tasks.

Core Features & Use Cases

  • Capture Intent: Specify what the skill enables and when it should trigger.
  • Iterative Evaluation: Write prompts, run evaluations, and refine the skill based on results.
  • Packaging and Deployment: Prepare a distributable skill with optional tooling and references for scalable reuse.

Quick Start

Draft a new skill by outlining its purpose, writing test prompts, and iterating on evaluation results until you reach a stable description.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I automate skill creation for an AI copilot?▼

Automate skill creation by capturing the initial intent, writing test prompts, running iterative evaluations, and refining the SKILL.md description until it is stable and trigger-ready.

What is iterative evaluation in prompt engineering workflows?▼

Iterative evaluation is the process of writing prompts, running them against your skill, analyzing the results, and refining the instructions to improve the copilot's performance and trigger accuracy.

How do I package a copilot skill for distributable reuse?▼

Package a skill by defining a SKILL.md entrypoint with YAML frontmatter and a Markdown body, then coordinate optional bundles like scripts, references, and assets for scalable deployment.

Do I need to write YAML frontmatter to define a new skill?▼

Yes, the workflow enforces a YAML frontmatter containing a name and description, alongside a contextual Markdown body, to ensure the skill is properly structured and trigger-ready.

What's the best way to refine an AI skill description that isn't triggering correctly?▼

Refine a skill description by running iterative evaluations with test prompts, analyzing the results, and adjusting the YAML frontmatter description until the skill triggers reliably.

Can I include external scripts and references when building a copilot skill?▼

Yes, you can coordinate optional bundles containing scripts, references, and assets to support on-demand tasks within the skill's workflow for scalable reuse.

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