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prompt-design

Create reusable AI prompt templates using a standardized 7-section architecture.

29|12|Updated Mar 30, 2026
Search Tags:#automation#templates#prompt engineering#ai workflow#b2b saas
One-click install
npx skills add https://github.com/matteotitta/genesys-skills --skill prompt-design-matteotitta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-design
Source: https://github.com/matteotitta/genesys-skills/tree/main/skills/meta/orchestration/prompt-design
Command: npx skills add https://github.com/matteotitta/genesys-skills --skill prompt-design-matteotitta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the inconsistency and lack of structure in AI-generated outputs by enforcing a rigorous 7-section architecture for prompt engineering.

Core Features & Use Cases

  • 7-Section Architecture: Standardizes prompts using Role, Goal, Inputs, Task, Output Format, Context, and Examples.
  • Variable Management: Ensures all user inputs are clearly marked as variables for automation tools like Clay or AirOps.
  • Use Case: Use this to build a reusable prompt template for generating LinkedIn posts that consistently adhere to brand voice and specific formatting constraints.

Quick Start

Invoke the prompt design skill to create a new template for generating technical blog posts.

Frequently Asked Questions about prompt-design

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

FAQPage Schema
How do I create reusable AI prompt templates for B2B SaaS automation workflows?▼

You create reusable AI prompt templates by structuring them with a standardized 7-section architecture covering Role, Goal, Inputs, Task, Output Format, Context, and Examples for B2B SaaS automation workflows.

How do I structure AI prompts with variables for Clay or AirOps automation tools?▼

To structure AI prompts for Clay or AirOps, you use a standardized architecture defining roles, goals, and variable placeholders to ensure all user inputs are clearly marked for automation tools.

What is the 7-section architecture for production-ready prompt engineering?▼

The 7-section architecture for production-ready prompt engineering standardizes templates using Role, Goal, Inputs, Task, Output Format, Context, and Examples to enforce consistency in AI-generated outputs.

Why does my AI prompt output inconsistent results in my automation workflow?▼

Your AI prompt output is inconsistent because it lacks a rigorous 7-section architecture, which enforces structure by defining roles, goals, and variable placeholders to ensure production-ready output.

Can I use structured prompt templates to generate technical blog posts for my SaaS?▼

Yes, you can use structured prompt templates to generate technical blog posts by invoking a design architecture that standardizes outputs and adheres to specific formatting constraints.

Do I need specific variable formatting to build production-ready AI prompts?▼

Yes, building production-ready AI prompts requires specific variable marking to ensure all user inputs are clearly marked as variables for automation tools like Clay or AirOps.

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