prompt-optimizer

Analyze draft prompts and map them to ECC ecosystem components.

Updated Jan 28, 2026

Search Tags:#automation #workflow #planning #optimization #guidance #prompt #ecc

Ready to run

npx skills add https://github.com/scanady/nexus-agents --skill prompt-optimizer-scanady

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes draft prompts to identify intent and gaps, then maps them to ECC components (skills, commands, agents, hooks) and outputs a ready-to-paste optimized prompt. Advisory only — never executes tasks.

Core Features & Use Cases

Analyze prompts for intent and gaps; map to ECC components
Generate a ready-to-paste optimized prompt suitable for ECC workflows
Support multilingual triggers and diverse use cases (planning, writing, research)

Quick Start

Paste your draft prompt and run the optimizer to receive an ECC-ready prompt you can paste into your workflow.

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 an automated workflow?▼

Prompt optimization involves analyzing a draft to identify intent and gaps, then mapping it to relevant ecosystem components like skills, commands, agents, and hooks. This process produces a ready-to-paste refined prompt for your planning, writing, or research automation workflows.

What is the best way to map prompt requirements to available automation components?▼

The best way to map prompt requirements is by analyzing the draft text against available skills, commands, agents, and hooks. The optimizer identifies gaps in your request and aligns them with appropriate ecosystem components to generate a structured, ready-to-use prompt.

Can I use this prompt optimizer for research and planning tasks in different languages?▼

Yes, you can use this optimizer for research and planning tasks across multiple languages. It supports multilingual triggers and applies its analysis across diverse domains to ensure your draft is refined into an optimized prompt regardless of language.

Does the prompt optimizer execute tasks or only generate guidance?▼

The optimizer operates strictly in advisory mode and does not execute tasks. It analyzes your draft, critiques it, and returns an optimized prompt for you to paste and run manually, ensuring you maintain full control over workflow execution.

How do I prepare a draft prompt for optimization?▼

To prepare a draft for optimization, write out your initial request covering your planning, writing, or research intent. Paste this draft into the optimizer to receive a critique, gap analysis, and a refined prompt mapped to ecosystem components like skills and hooks.

What are the limitations of using advisory mode for prompt optimization?▼

The limitation of advisory mode is that it never executes tasks or triggers workflows directly. It only analyzes, critiques, and maps your draft to components, returning text that you must manually paste and run within your own environment.