prompt-optimizer

Name: prompt-optimizer
Availability: InStock
Author: smallnest

Analyze vague prompts and generate clearer, actionable instructions for AI systems.

295|49|Updated Nov 23, 2025

Search Tags:#optimization #clarity #interactive #prompt #AskUserQuestion

Ready to run

npx skills add https://github.com/smallnest/langgraphgo --skill prompt-optimizer-smallnest

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/smallnest/langgraphgo/tree/main/testdata/skills/prompt-optimizer
Command: npx skills add https://github.com/smallnest/langgraphgo --skill prompt-optimizer-smallnest

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires AskUserQuestion, and includes references (resource) components.

What problem does it solve?

This Skill analyzes and refines vague or incomplete prompts into clear, actionable requests, reducing guesswork and rework.

Core Features & Use Cases

Two modes: Interactive Questionnaire (AskUserQuestion) and Direct Analysis.
Mode 1 (Interactive): guides users through structured clarifying questions to resolve ambiguity.
Mode 2 (Direct Analysis): outputs optimized prompts with concrete deliverables.
Triggers on vague language or missing context to consistently improve prompt quality.

Quick Start

Provide a vague prompt and choose either Interactive or Direct Analysis mode to receive an optimized prompt ready for action.

Frequently Asked Questions about prompt-optimizer

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

FAQPage Schema

How do I clarify vague or ambiguous prompts to get better AI responses?▼

Prompt optimization analyzes unclear instructions to identify missing context, success criteria, and technical specifications, then restructures them into precise, actionable requests. This Skill offers two modes: interactive guided questions to resolve ambiguity step-by-step, or direct analysis for immediate optimization suggestions.

What's the difference between interactive and direct analysis modes for prompt optimization?▼

Interactive Mode uses guided questions to walk you through clarification, helping you articulate unstated requirements and constraints. Direct Analysis Mode skips the questionnaire and outputs optimized prompts with concrete deliverables immediately, suited for users who prefer speed over collaboration.

When should I use prompt optimization instead of rewriting prompts manually?▼

Use prompt optimization when your prompts lack sufficient context, contain conflicting requirements, or produce inconsistent results from AI systems. It's most valuable for complex or cross-domain requests where you need structured analysis to uncover hidden gaps before executing the prompt.

Can prompt optimization handle prompts across different problem domains?▼

Yes. Prompt optimization works across any domain—technical, creative, analytical—by identifying common gaps: missing context, unclear success criteria, absent examples, and vague scope. The same optimization principles apply whether you're refining code generation, content, or analysis prompts.

What output do I get after optimizing a prompt?▼

You receive a restructured prompt with concrete deliverables, clarified constraints, and improved specificity ready to embed directly into your AI workflow. The output format depends on your mode: guided recommendations in interactive mode, or polished, production-ready prompt text in direct analysis mode.

Do I need special knowledge or tools to use prompt optimization?▼

No prerequisites. You provide a vague or incomplete prompt in plain language, select your preferred mode, and receive optimized output. The Skill integrates reference materials internally to apply proven optimization principles without requiring external configuration.