skill-creator

Convert user intent into a trigger-optimized SKILL.md with evaluation workflows.

Updated Mar 22, 2018
One-click install
npx skills add https://github.com/tnunamak/dotfiles --skill skill-creator-tnunamak
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/tnunamak/dotfiles/tree/main/ai/skills/local/skill-creator
Command: npx skills add https://github.com/tnunamak/dotfiles --skill skill-creator-tnunamak

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Creating a new Claude skill—or improving an existing one—can be guesswork because you need good triggering language and you must verify that the skill actually performs the intended workflow.

Core Features & Use Cases

  • Skill drafting from intent: turns a user’s goal into a complete SKILL.md with a clear trigger-focused description and operational instructions.
  • Eval-driven iteration loop: designs test prompts, runs them, and guides qualitative + quantitative review so improvements are measurable.
  • Trigger accuracy optimization: optionally optimizes the SKILL.md description to improve “should trigger / should not trigger” behavior using evals.
  • Performance benchmarking mindset: supports variance-aware analysis and reruns across iterations until the user is satisfied.

Quick Start

Tell the AI what you want the skill to do and when it should trigger, and ask it to create the initial SKILL.md plus 2–3 test prompts for you to run.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I create a Claude skill that triggers reliably from user intent?

To create a Claude skill, convert your intended goal into a trigger-optimized SKILL.md file containing a clear description and operational instructions. This process ensures the skill activates reliably when needed and avoids misfiring.

How does evaluation-driven iteration work for Claude skills?

Evaluation-driven iteration designs test prompts, runs them against your skill, and grades the outputs using quantitative pass/fail metrics. This workflow aggregates results with variance-aware benchmarking to measure improvements accurately.

What is the best way to fix a Claude skill that triggers too often or not enough?

To fix over-triggering or under-triggering, run trigger accuracy evaluations using generated test prompts. The eval results provide evidence to update the SKILL.md description, optimizing when the skill should or should not activate.

Can I benchmark Claude skill performance using quantitative pass/fail metrics?

Yes, you can benchmark Claude skill performance using quantitative pass/fail metrics and variance-aware analysis. This approach grades expectations with evidence across multiple iterations until the skill meets your satisfaction.

Do I need any external dependencies to build and test Claude skills?

No external dependencies are required to build and test Claude skills. The workflow operates by generating a SKILL.md file and evaluating test prompts directly within the Claude environment.

How do I start drafting a new skill with the skill-creator workflow?

To start drafting a new skill, tell the AI what you want the skill to do and when it should trigger. It will generate an initial SKILL.md along with two to three test prompts for you to run and evaluate.