prompt-optimizer

Select prompting frameworks and refine prompts for AI output quality.

68|5|Updated Jan 15, 2026
One-click install
npx skills add https://github.com/twwch/OpenSkills --skill prompt-optimizer-twwch
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/twwch/OpenSkills/tree/main/examples/prompt-optimizer
Command: npx skills add https://github.com/twwch/OpenSkills --skill prompt-optimizer-twwch

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The prompt-optimizer skill helps users design high-quality prompts by selecting the most suitable prompting framework and refining prompts to maximize AI output quality.

Core Features & Use Cases

  • 57 proven frameworks and templates to guide prompt construction across domains.
  • Framework selection guidance to match application, complexity, and domain needs.
  • Structured prompt templates that ensure consistency, clarity, and safety in AI instructions.
  • Iterative refinement workflows to improve prompts based on feedback and test results.
  • Real-world use cases including content creation, software development, data analysis, marketing, and education workflows.

Quick Start

Provide your raw prompt and context, and let Prompt Optimizer select the best framework and refine it for your task.

Frequently Asked Questions about prompt-optimizer

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

FAQPage Schema
How do I optimize a prompt to get better AI outputs?

To optimize a prompt, you provide your raw text and context so the skill can select a suitable prompting framework and refine it for clarity. It uses 57 proven templates to maximize AI output quality.

What is the best way to structure prompts for content creation and data analysis?

The best way to structure prompts is using domain-specific templates that enforce consistency. This skill provides 57 frameworks spanning content creation, data analysis, software development, and education workflows.

How do I choose the right prompting framework for my AI workflow?

Choose the right prompting framework by evaluating your application needs, task complexity, and domain. This skill provides framework selection guidance to match your specific context with the most effective structure.

Can I iteratively refine prompts based on test results and feedback?

Yes, you can iteratively refine prompts based on test results and feedback. This skill includes an iterative refinement workflow to continuously improve prompt construction and ensure high-quality AI instructions.

Do I need prior knowledge of prompting frameworks to use this optimization workflow?

No prior knowledge of prompting frameworks is needed. You simply provide your raw prompt and context, and the skill automatically selects the best framework and constructs a ready-to-activate structured prompt.

Why does my AI output lack consistency across different workflows?

Your AI output lacks consistency because raw prompts often miss structured guidelines. Applying structured templates and proven frameworks ensures clarity, safety, and consistent results across varied workflows.