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prompt-optimizer

Optimize raw user prompts into execution-ready templates with ECC component mapping.

1|Updated Apr 7, 2026
Search Tags:#prompt-engineering#prompt-optimization#intent-detection#ecc#workflow-recommendation#model-recommendation
One-click install
npx skills add https://github.com/riftzen-bit/gemini-setup --skill prompt-optimizer-riftzen-bit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/riftzen-bit/gemini-setup/tree/main/skills/prompt-optimizer
Command: npx skills add https://github.com/riftzen-bit/gemini-setup --skill prompt-optimizer-riftzen-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users turn vague or incomplete prompts into clear, context-aware, and execution-ready prompt templates by identifying intent, missing context, and mapping to the ECC ecosystem without executing tasks.

Core Features & Use Cases

  • Intent Detection & Gap Analysis: Parses draft prompts to detect the user's intent, classify the task type, and surface missing requirements or ambiguous phrasing.
  • ECC Component Mapping: Recommends specific commands, skills, agents, and model/workflow choices based on detected intent and project context.
  • Use Case: A developer pastes a rough request to "add profile endpoint" and receives a polished prompt including tech stack assumptions, acceptance criteria, recommended ECC commands, and verification steps.

Quick Start

Please optimize my prompt for clarity, intent, missing context, and ECC component suggestions: <paste your draft prompt here>.

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 draft prompt for coding tasks and execution readiness?▼

To optimize a draft prompt, you provide the raw text and the system performs intent detection, identifies missing context, and maps requirements to the ECC ecosystem, outputting a clear, execution-ready prompt template.

What is ECC component mapping for prompt optimization?▼

ECC component mapping analyzes your prompt's detected intent and project context to recommend specific commands, skills, agents, and model or workflow choices needed to execute the task effectively.

How do I identify missing context in a vague prompt?▼

You identify missing context by parsing the draft prompt to surface ambiguous phrasing and hidden assumptions, clarifying the user's intent and classifying the task type to ensure requirements are complete.

Can I use prompt optimization for research and documentation workflows?▼

Yes, prompt optimization applies to research and documentation workflows by assessing task scope, detecting intent, and identifying missing requirements to transform rough requests into structured prompt templates.

Does prompt optimization execute the user's task directly?▼

No, prompt optimization does not execute the user's task; it strictly refines the raw prompt by performing intent detection, missing context checks, and model guidance to prepare an execution-ready template.

What's the best way to structure a prompt for model recommendation?▼

The best way to structure a prompt for model recommendation is to input the raw request, allowing the system to assess scope, detect intent, and map to appropriate ECC components and model workflows.

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