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prompt-engineer

Transform unstructured prompts into optimized prompts using prompting frameworks.

Updated Mar 28, 2026
Search Tags:#automation#frameworks#prompt-engineering#prompt-optimization#ai-prompting#multiframe
One-click install
npx skills add https://github.com/baselakkad585-maker/basel-dev-skills --skill prompt-engineer-baselakkad585-maker
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineer
Source: https://github.com/baselakkad585-maker/basel-dev-skills/tree/main/skills/prompt-engineer
Command: npx skills add https://github.com/baselakkad585-maker/basel-dev-skills --skill prompt-engineer-baselakkad585-maker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts vague, unstructured prompts into optimized prompts using a suite of prompting frameworks to improve AI output quality and consistency.

Core Features & Use Cases

  • 11 frameworks supported: RTF, Chain of Thought, RISEN, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW
  • Automatic framework blending for complex prompts
  • Invisible (magic) mode that minimizes user overhead
  • Universal applicability across terminals and projects
  • Model-agnostic prompts: compatible with Claude, ChatGPT, Gemini, etc.

Quick Start

Describe your task and let the skill return a ready-to-use, framework-blended prompt.

Frequently Asked Questions about prompt-engineer

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

FAQPage Schema
What is the best way to optimize vague prompts for AI models?▼

To optimize vague prompts, you apply established prompting frameworks like RTF or RISEN to structure tasks, define output formats, and improve AI output quality and consistency.

How do I turn a raw unstructured prompt into a framework-based structure?▼

You transform raw prompts into a framework-based structure by automatically blending techniques like Chain of Thought or RODES, ensuring the final prompt is self-contained and model-agnostic.

Can I use these optimized prompts across different AI models like Claude and ChatGPT?▼

Yes, you can use these optimized prompts across different AI models. The framework-based structure is model-agnostic, ensuring universal applicability across Claude, ChatGPT, and Gemini.

Which prompt frameworks are available for tasks like coding, writing, and analysis?▼

Available prompt frameworks for coding, writing, and analysis include RTF, Chain of Thought, RISEN, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, and GROW.

Does automatic framework selection work for complex prompt engineering tasks?▼

Automatic framework selection works for complex prompt engineering by blending multiple frameworks like Chain of Density and RISEN, minimizing user overhead through invisible magic mode.

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