prompting-pro

Formulate model-specific prompts for GPT-5.5, GPT-5.4, GPT-5.3-Codex, Gemini 3, and Nano Banana.

1|Updated Apr 25, 2026
One-click install
npx skills add https://github.com/martinderm/prompting-pro --skill prompting-pro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompting-pro
Source: https://github.com/martinderm/prompting-pro/tree/main
Command: npx skills add https://github.com/martinderm/prompting-pro --skill prompting-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill helps solve the challenge of formulating high-quality prompts for specific AI models, providing official documentation and community tips.

Core Features & Use Cases

  • Model-Specific Guidance: Offers official and community tips for various AI models.
  • Overlay Routing: Allows for specialized overlays for specific task types.
  • Prompt Formulation: Assists in creating prompts with model-specific constraints and output formats.

Quick Start

Use the prompting-pro skill to generate a prompt for the GPT-5.5 model to summarize the following text: "The latest trends in AI and machine learning."

Frequently Asked Questions about prompting-pro

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

FAQPage Schema
How do I formulate high-quality prompts for GPT-5.5 and Gemini 3?

To formulate high-quality prompts for GPT-5.5 and Gemini 3, apply model-specific constraints and official documentation guidelines. This approach aligns prompt structure with the target AI model's optimal processing behavior for accurate outputs.

What is overlay routing in prompt engineering?

Overlay routing in prompt engineering applies specialized task-specific configurations over a base prompt. It tailors AI model instructions for distinct task types while maintaining the core model constraints for structured outputs.

Can I generate structured output formatting for Nano Banana prompts?

Yes, you can generate structured output formatting for Nano Banana prompts. The skill assists in creating prompts that enforce specific output formats and model-specific constraints for Nano Banana and other supported AI models.

Does this approach support community tips for GPT-5.3-Codex?

Yes, this approach supports community tips for GPT-5.3-Codex. It combines official documentation with community-driven insights to help you build effective prompts tailored to the GPT-5.3-Codex environment.

What is the best way to summarize text using GPT-5.5 prompts?

The best way to summarize text using GPT-5.5 prompts is to define the task clearly and apply model-specific overlays. This leverages GPT-5.5's official documentation guidelines to produce accurate, structured summaries.