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brabos-ai
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add-skill-creator

Guide creation, updating, and improvement of AI agent skills with decision trees.

8|2|Updated Mar 2, 2026
Search Tags:#AI tools#best practices#documentation#skill creation#agent development#skill architecture
One-click install
npx skills add https://github.com/brabos-ai/code-addiction --skill add-skill-creator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: add-skill-creator
Source: https://github.com/brabos-ai/code-addiction/tree/main/framwork/.codeadd/skills/add-skill-creator
Command: npx skills add https://github.com/brabos-ai/code-addiction --skill add-skill-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of creating, updating, and improving AI agent skills, ensuring they are discoverable, compliant, and effective.

Core Features & Use Cases

  • Skill Creation Guidance: Provides decision trees and templates for creating new skills of varying complexity (Tier 1, 2, 3).
  • Skill Improvement: Offers strategies for enhancing existing skills, addressing issues like agent non-compliance or poor discoverability.
  • Compliance Verification: Includes checklists and standards for ensuring skills meet best practices before deployment.
  • Use Case: When starting a new AI feature that requires custom agent logic, use this Skill to select the appropriate architecture, follow best practices for naming and descriptions, and ensure the skill is easily discoverable by the AI.

Quick Start

Use the add-skill-creator to find the right template for creating a new, complex agent skill.

Frequently Asked Questions about add-skill-creator

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

FAQPage Schema
What is the best way to create AI agent skills that are discoverable and compliant?▼

To choose an architecture for complex agent skills, evaluate the scope and complexity to select between Tier 1, Tier 2, and Tier 3 structures. This architectural tier selection process ensures the skill design appropriately matches the required custom logic.

How do I fix an AI agent skill that has poor discoverability or agent non-compliance?▼

To fix poor discoverability or agent non-compliance, apply skill improvement strategies like description optimization and modularization. Updating the skill architecture and verifying against compliance checklists will resolve these common performance issues.

When should I use Tier 1, Tier 2, or Tier 3 skill architecture for agent development?▼

You should select Tier 1, Tier 2, or Tier 3 skill architecture based on the varying complexity and scope of your AI feature. Using a decision tree helps map the custom agent logic requirements to the correct modular skill design.

What standards do I need to check before deploying a new AI agent skill?▼

Before deploying a new AI agent skill, you need to check compliance standards using dedicated checklists. Verifying naming conventions, description optimization, and architectural tier selection ensures the skill is effective and meets all best practices.

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