promptify

Transform user requests into detailed, structured prompts for AI models.

22|4|Updated Oct 28, 2025
One-click install
npx skills add https://github.com/ivfarias/ceo --skill promptify-ivfarias
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: promptify
Source: https://github.com/ivfarias/ceo/tree/main/.gemini/skills/promptify
Command: npx skills add https://github.com/ivfarias/ceo --skill promptify-ivfarias

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Promptify solves the problem of unclear user requests by converting them into detailed, precise prompts that guide AI models and reduce misinterpretation.

Core Features & Use Cases

  • Prompt rewriting: produce a precise prompt specification from a user request.
  • Model-agnostic formatting: output ready prompts suitable for various AI models.
  • Guided instruction: enforce constraints and structure as per the request.

Quick Start

Provide a clear, model-ready prompt that fully captures the user's request and constraints.

Frequently Asked Questions about promptify

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

FAQPage Schema
How do I turn a vague request into a precise AI prompt?

To turn a vague request into a precise AI prompt, you translate user intent into structured prompts with enforced constraints. This process reduces model misinterpretation by producing a detailed specification that fully captures the original request.

What is prompt engineering and when do I need structured prompts?

Prompt engineering is the practice of translating user intent into structured prompts for consistent model outputs. You need structured prompts when a user request is unclear and requires detailed constraints to guide AI models and reduce misinterpretation.

Does prompt rewriting work for different AI models or specific platforms?

Prompt rewriting produces model-agnostic formatting, meaning the output is ready for various AI models. It applies to prompt engineering workflows across multiple platforms without being locked into a single specific environment.

What is the best way to enforce constraints in an AI prompt specification?

The best way to enforce constraints in an AI prompt specification is through guided instruction that structures the request. This ensures the model receives a detailed, precise prompt that fully captures the user's original requirements.

Why does my AI model misinterpret requests and how can I fix it?

AI models misinterpret requests due to unclear instructions lacking detailed constraints. You can fix this by rewriting the request into a precise prompt specification that enforces structure, ensuring the model fully understands the required output.

Can I use promptify to generate prompts for any AI model?

Yes, you can use promptify to generate prompts for any AI model because it provides model-agnostic formatting. It takes a user request and applies guided instruction to output a structured prompt specification suitable for various platforms.