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prompt-optimizer

Analyze raw user prompts and generate optimized prompts with workflow recommendations.

Updated Jul 27, 2026
Search Tags:#prompt engineering#ai optimization#workflow generation#prompt analysis#llm interaction#command matching
One-click install
npx skills add https://github.com/kouiso/designdiff --skill prompt-optimizer-kouiso
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/kouiso/designdiff/tree/main/.claude/skills/prompt-optimizer
Command: npx skills add https://github.com/kouiso/designdiff --skill prompt-optimizer-kouiso

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users craft more effective prompts for AI interactions by analyzing their intent, identifying gaps, and suggesting optimized prompts that leverage specific AI components.

Core Features & Use Cases

  • Prompt Analysis: Evaluates raw prompts for clarity, intent, and completeness.
  • Component Matching: Maps user needs to relevant AI skills, commands, and agents within an ecosystem (ECC).
  • Optimization: Generates ready-to-use, enhanced prompts for various tasks.
  • Use Case: A user wants to ask an AI to "write some code." This Skill can transform that vague request into a precise prompt like: "/plan the feature. /tdd to implement. /code-review. /verify."

Quick Start

Use the prompt-optimizer skill to refine your request for building a new feature.

Frequently Asked Questions about prompt-optimizer

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

FAQPage Schema
How do I optimize prompts for AI interaction and improve LLM task execution?▼

To optimize prompts for AI interaction, analyze raw user requests to identify intent and assess scope, then map them to appropriate AI components like skills, commands, and agents. This generates enhanced, ready-to-paste prompts that improve LLM execution accuracy.

What is the best way to match raw user prompts to specific AI skills and commands?▼

The best way to match raw prompts to AI skills and commands is through prompt analysis that evaluates clarity and intent. This process maps user needs to relevant components within an ecosystem, generating optimized workflows for precise task execution.

Can I use prompt optimization to map requests to AI agents within my ecosystem?▼

Yes, you can use prompt optimization to map requests to AI agents. The component matching feature evaluates raw prompts and connects user needs to relevant skills, commands, and agents within your ecosystem to generate ready-to-use prompts.

Does prompt analysis provide model suggestions for LLM interactions?▼

Yes, prompt analysis provides model suggestions for LLM interactions. It evaluates raw prompt completeness and intent, generating optimized execution prompts that include workflow recommendations and specific model suggestions tailored to the task.

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