prompt-factory

Generate production-ready mega-prompts for any role, industry, and task.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/prefrontalsys/claude-code-skill-factory --skill prompt-factory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-factory
Source: https://github.com/prefrontalsys/claude-code-skill-factory/tree/main/generated-skills/prompt-factory
Command: npx skills add https://github.com/prefrontalsys/claude-code-skill-factory --skill prompt-factory

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates prompt fatigue and inconsistent AI output by generating high-quality, production-ready mega-prompts tailored to any role, industry, or task. It automates the complex process of prompt engineering, ensuring best practices are applied without manual iteration.

Core Features & Use Cases

  • Intelligent Prompt Generation: Guides you through a smart 5-7 question flow to gather precise requirements and synthesize a custom prompt.
  • 69 Quick-Start Presets: Instantly generate prompts for common professional roles across 15 domains, from Senior Full-Stack Engineer to Chief Marketing Officer.
  • Multi-Format Output: Delivers prompts optimized for your preferred LLM, including XML (universal), Claude, ChatGPT, and Gemini formats.
  • 7-Point Quality Validation: Ensures every generated prompt is production-ready, token-optimized, and adheres to best practices from OpenAI, Anthropic, and Google.
  • Use Case: A marketing strategist needs a comprehensive Q1 growth campaign prompt. They select the "Marketing Strategist" preset, answer a few questions about their target audience and budget, and receive a validated, multi-channel campaign prompt, ready to use with their AI assistant.

Quick Start

Use Prompt Factory to create a prompt for a Senior Full-Stack Engineer building a new e-commerce API.

Frequently Asked Questions about prompt-factory

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

FAQPage Schema
How do I generate production-ready prompts for AI models without manual iteration?

Prompt generation automates the engineering process by guiding you through a structured 5-7 question flow to capture requirements, then synthesizing a validated, multi-format prompt tailored to your role and task. The output conforms to best practices from OpenAI, Anthropic, and Google, eliminating prompt fatigue and ensuring consistent AI output.

Can I create prompts optimized for different LLM formats like Claude, ChatGPT, and Gemini?

Yes. Prompt generation delivers multi-format outputs including XML (universal), Claude, ChatGPT, and Gemini formats. Each format is token-optimized and ready to use with your preferred LLM without additional conversion or adjustment.

What presets are available for common professional roles?

The Skill includes 69 quick-start presets spanning 15 domains—Senior Full-Stack Engineer, Marketing Strategist, Chief Marketing Officer, and many others. Select a preset for your role, answer contextual questions about your task, and receive a validated prompt immediately.

How does quality validation work in prompt generation?

A 7-point validation gate checks every generated prompt for completeness, token optimization, adherence to best practices, and conformance to standardized schemas. This ensures production-ready output without manual review cycles.

Do I need technical knowledge to create effective prompts with this approach?

No. The intelligent elicitation flow handles the technical complexity. You answer straightforward questions about your role, task, audience, and constraints; the system synthesizes a production-ready prompt applying prompt engineering best practices automatically.

What information do I need to provide to generate a prompt?

You supply your professional role, industry context, specific task, target audience or constraints, preferred output format, and any domain-specific requirements. The 5-7 question flow gathers these inputs systematically to ensure the generated prompt covers all necessary constraints and considerations.