·prompt-optimizer
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prompt-optimizer

Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts.

23Installs·0Trend·@smallnest

Installation

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

How to Install prompt-optimizer

Quickly install prompt-optimizer AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/smallnest/langgraphgo --skill prompt-optimizer
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: smallnest/langgraphgo.

SKILL.md

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This skill analyzes user prompts and provides optimized versions that are clearer, more specific, and more actionable.

Transform vague, incomplete, or ambiguous user requests into well-structured prompts that lead to better outcomes. By analyzing prompts against quality criteria and providing optimized versions, this skill helps users communicate their needs more effectively.

Use this skill when user prompts exhibit one or more of these issues:

Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts. Source: smallnest/langgraphgo.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/smallnest/langgraphgo --skill prompt-optimizer
Category
</>Dev Tools
Verified
First Seen
2026-03-06
Updated
2026-03-10

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Quick answers

What is prompt-optimizer?

Analyze and optimize user prompts for clarity, specificity, and completeness using interactive questionnaires or direct analysis. Use this skill when user requests are vague, ambiguous, incomplete, or lack necessary details. Supports two modes - Interactive Mode (uses AskUserQuestion tool for guided clarification) and Direct Analysis Mode (provides optimization suggestions). Triggers on prompts containing vague language like "something", "thing", "stuff", "it", or when requests lack context, technical specifications, success criteria, or examples. When user requests interactive/questionnaire mode, use AskUserQuestion to guide them through structured questions. Helps transform unclear requests into well-structured, actionable prompts. Source: smallnest/langgraphgo.

How do I install prompt-optimizer?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/smallnest/langgraphgo --skill prompt-optimizer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/smallnest/langgraphgo