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SkillHub ClubAnalyze Data & AIFull StackData / AI

prompt-optimizer

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
2
Hot score
79
Updated
March 20, 2026
Overall rating
C1.6
Composite score
1.6
Best-practice grade
N/A

Install command

npx @skill-hub/cli install nguyendinhquocx-code-ai-prompt-optimizer
prompt-engineeringrequirementsoptimizationspecifications

Repository

nguyendinhquocx/code-ai

Skill path: skills/prompt-optimizer

Transform vague prompts into precise, well-structured specifications using EARS (Easy Approach to Requirements Syntax) methodology. This skill should be used when users provide loose requirements, ambiguous feature descriptions, or need to enhance prompts for AI-generated code, products, or documents. Triggers include requests to "optimize my prompt", "improve this requirement", "make this more specific", or when raw requirements lack detail and structure.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: nguyendinhquocx.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install prompt-optimizer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/nguyendinhquocx/code-ai before adding prompt-optimizer to shared team environments
  • Use prompt-optimizer for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

prompt-optimizer | SkillHub