skill-creator

Orchestrate end-to-end Claude skill development with drafting, evaluation, benchmarking, and iteration.

1|1|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/Vishnugupta2711/gigHood --skill skill-creator-vishnugupta2711
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/Vishnugupta2711/gigHood/tree/main/.agents/skills/skill-creator
Command: npx skills add https://github.com/Vishnugupta2711/gigHood --skill skill-creator-vishnugupta2711

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Automates the end-to-end process of creating, evaluating, benchmarking, and refining Claude skills, turning rough drafts into robust, trigger-ready capabilities through structured evals and automated optimization.

Core Features & Use Cases

  • Design, test, and iterate skills with a repeatable evaluation loop.
  • Benchmark trigger performance across configurations and track progressive improvements.
  • Generate, refine, and optimize skill descriptions to maximize triggering accuracy.

Quick Start

Draft a skill, run initial evals, and iterate using the built-in loop to refine prompts and tests until triggering quality improves.

Frequently Asked Questions about skill-creator

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

FAQPage Schema
How do I automate Claude skill creation and evaluation?

You can automate Claude skill creation by drafting a skill and running a structured evaluation loop to benchmark trigger performance and refine prompts until quality improves. This orchestrates the end-to-end development workflow automatically.

What is the best way to benchmark trigger performance for AI workflows?

Benchmarking trigger performance involves testing configurations across an evaluation loop and tracking progressive improvements. This approach measures triggering accuracy and refines descriptions to ensure skills activate reliably in workflows.

How do I iterate and improve prompts for custom skills?

Iterating prompts requires running initial evaluations, analyzing benchmark results, and refining tests in a repeatable loop. This structured iteration turns rough drafts into robust, trigger-ready capabilities by optimizing descriptions and prompts.

Do I need pyyaml to run skill evaluation scripts?

Yes, you need the pyyaml dependency installed to run the evaluation scripts. The skill creation workflow relies on this package to parse configurations and manage the automated benchmarking components.

Can I optimize skill descriptions to maximize triggering accuracy automatically?

You can optimize skill descriptions automatically by generating and refining them through the built-in evaluation loop. This process maximizes triggering accuracy by benchmarking description variations and selecting the most effective configuration.

Why does my custom skill fail to trigger correctly in workflows?

Skills fail to trigger correctly when descriptions lack optimization or benchmarking. Running the skill through the evaluation loop identifies trigger performance issues and refines the prompt to resolve activation failures.