Analyze draft prompts and map them to ECC ecosystem components.
npx skills add https://github.com/scanady/nexus-agents --skill prompt-optimizer-scanady
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
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.
Paste your draft prompt and run the optimizer to receive an ECC-ready prompt you can paste into your workflow.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
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