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Sanmoo
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skill-architect

Guide planning, design, and validation of AI skills.

Updated Jun 11, 2019
Search Tags:#workflow#architecture#best practices#validation#skill design#AI skill creation
One-click install
npx skills add https://github.com/Sanmoo/dotfiles --skill skill-architect-sanmoo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-architect
Source: https://github.com/Sanmoo/dotfiles/tree/main/opencode/.config/opencode/skills/skill-architect
Command: npx skills add https://github.com/Sanmoo/dotfiles --skill skill-architect-sanmoo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Facilitates the creation of well-structured, high-quality AI skills by providing a comprehensive framework for planning, designing, and validating skills before development.

Core Features & Use Cases

  • Structured Workflow Guidance: Offers detailed phases from discovery to delivery to ensure skills meet user needs.
  • Design Principles & Best Practices: Shares patterns, anti-patterns, and evaluation criteria to produce reliable skills.
  • Use Case: A developer wants to craft a new agent skill for automating report generation; this guide helps structure their development process step-by-step.

Quick Start

Refer to the overall process in the document to initiate your skill creation from planning through validation.

Frequently Asked Questions about skill-architect

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

FAQPage Schema
What is AI skill architecture and why do I need it for agent development?▼

AI skill architecture provides a structured framework for planning and validating skills before development. It ensures clarity, effectiveness, and safety by applying design principles and quality criteria to your agent creation process.

How do I design an AI skill from scratch?▼

To design an AI skill, follow a structured workflow from discovery to delivery. This involves selecting appropriate patterns, applying best practices, and running validation protocols to ensure the skill meets user needs.

What are the best practices for AI skill creation and pattern selection?▼

Best practices for AI skill creation involve using established design principles and avoiding anti-patterns. Following structured guidance helps produce reliable skills by applying consistent evaluation criteria throughout the planning phases.

Do I need prior development experience to use a skill design framework?▼

Yes, using a skill design framework requires understanding planning phases, pattern selection, and validation protocols. It is suitable for developers or teams creating new skills to ensure proper architecture and safety.

How do I validate AI skills to ensure quality and safety?▼

You validate AI skills by applying specific quality criteria and validation protocols during the design phase. This structured evaluation ensures the skill architecture meets effectiveness and safety standards before final delivery.

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