skill-creator

Develop, test, and optimize custom AI skill definitions.

10|1|Updated Jun 29, 2026

Search Tags:#automation #testing #benchmarking #skill-development #ai-agent #workflow-optimization

Ready to run

npx skills add https://github.com/mishahanin/heading-os --skill skill-creator-mishahanin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-creator
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/skill-creator
Command: npx skills add https://github.com/mishahanin/heading-os --skill skill-creator-mishahanin

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill streamlines the entire lifecycle of creating and refining custom AI skills, ensuring they are robust, accurate, and performant for your specific operational needs.

Core Features & Use Cases

Skill Authoring: Provides a structured framework to draft and iterate on new skill definitions.
Automated Benchmarking: Runs quantitative evaluations and test cases to measure skill reliability and performance.
Trigger Optimization: Uses an iterative loop to tune skill descriptions, ensuring Claude triggers the right skill at the right time.
Use Case: If you have a custom workflow for CRM data entry, use this skill to draft the instructions, run test prompts to verify accuracy, and optimize the description so Claude knows exactly when to invoke it.

Quick Start

Use the skill-creator to create a new skill for automating your weekly status report generation.

Frequently Asked Questions about skill-creator

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

FAQPage Schema

How do I build and test custom AI skills for workflow automation?▼

To build custom AI skills, use a structured authoring framework to draft instructions, run automated benchmarking test cases to measure performance, and iteratively refine trigger descriptions for accurate task execution. This end-to-end process ensures your workflow automation units are robust and reliable.

What is trigger accuracy tuning for AI agent skills?▼

Trigger accuracy tuning is an iterative optimization loop that adjusts skill descriptions so the AI agent invokes the correct skill at the appropriate time. It refines the contextual metadata to ensure the agent reliably selects the right instructions for specific operational tasks.

Do I need workspace infrastructure to run skill benchmarking and evaluations?▼

Yes, you need access to workspace infrastructure to run quantitative benchmarking for skill development. The environment is required for drafting documentation, executing test cases against the AI agent, and managing the evaluation metadata generated during performance testing.

What's the best way to optimize AI skill descriptions for reliable task execution?▼

The best way to optimize AI skill descriptions is through an iterative refinement loop that uses quantitative benchmarking data. By testing prompt accuracy and measuring task performance, you can tune the trigger descriptions until the AI agent consistently activates the skill.

Can I automate testing for custom AI agent instructions and workflows?▼

Yes, you can automate testing for custom AI agent instructions by running quantitative evaluations and targeted test cases. This automated benchmarking measures the reliability and task performance of your workflow instructions, highlighting areas needing iterative refinement.