skill-optimizer

Guide creation, review, and optimization of AI skills with structured metadata.

41|3|Updated Jan 2, 2026
One-click install
npx skills add https://github.com/tdimino/claude-code-minoan --skill skill-optimizer-tdimino
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-optimizer
Source: https://github.com/tdimino/claude-code-minoan/tree/main/skills/core-development/skill-optimizer
Command: npx skills add https://github.com/tdimino/claude-code-minoan --skill skill-optimizer-tdimino

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance for creating, reviewing, and optimizing AI skills, ensuring they are effective, well-documented, and seamlessly integrated.

Core Features & Use Cases

  • Skill Creation Guidance: Step-by-step instructions for developing new skills from concept to packaging.
  • Quality Review: Criteria and best practices for assessing existing skills.
  • Optimization Strategies: Tips for improving skill performance, context efficiency, and resource utilization.
  • Use Case: A developer needs to build a new skill to interact with a specific API. They use this Skill to understand the best practices for structuring the SKILL.md, organizing reference documentation, and writing efficient scripts.

Quick Start

Use the skill-optimizer skill to learn how to create a new skill for processing user feedback.

Frequently Asked Questions about skill-optimizer

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

FAQPage Schema
How do I create and structure an AI skill from scratch?

To create an AI skill, follow step-by-step guidance for developing capabilities from concept to packaging, covering skill anatomy, frontmatter fields, and organizing reference documentation. This ensures skills are well-documented and effectively integrated.

What are the best practices for optimizing AI skill performance and context efficiency?

Optimizing AI skills involves applying tips for improving performance, context efficiency, and resource utilization through dynamic context injection, progressive disclosure, and efficient context management to minimize token overhead.

How does dynamic context injection work in AI skill development?

Dynamic context injection works by selectively providing relevant information to the AI during execution, which supports progressive disclosure and efficient context management to optimize overall skill performance and resource utilization.

Can I integrate subagents and bundle scripts when building AI skills?

Yes, you can integrate subagents and bundle resources like scripts, references, and assets. This allows extended capabilities and seamless interaction with specific APIs during skill creation and execution.

What criteria should I use for reviewing the quality of existing AI skills?

Reviewing AI skill quality involves assessing existing skills against established criteria and best practices, ensuring effective structure, proper frontmatter configuration, and optimal resource utilization before deployment.