prompt-optimizer

Analyze draft prompts, map intent to ECC components, and output paste-ready prompts.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/cipriantitire/noctvm --skill prompt-optimizer-cipriantitire
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/cipriantitire/noctvm/tree/main/Skills/prompt-optimizer
Command: npx skills add https://github.com/cipriantitire/noctvm --skill prompt-optimizer-cipriantitire

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze raw prompts, identify intent and gaps, and map them to ECC components to produce an optimized, paste-ready prompt. It serves as advisory and never executes tasks.

Core Features & Use Cases

  • Prompt analysis and intent detection
  • ECC component mapping (skills/commands/agents/hooks)
  • Generates complete, ready-to-paste prompts for various tasks
  • Supports bilingual triggers in English and Chinese equivalents
  • Provides safety guidance and usage boundaries

Quick Start

Provide a draft prompt and ask the skill to optimize it.

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 better workflow planning?

To optimize a draft prompt, you provide the raw text to the skill, which analyzes intent and gaps to output a paste-ready, optimized prompt. It maps the prompt to ECC ecosystem components for improved workflow planning.

What is ECC component mapping for prompt analysis?

ECC component mapping is the process of analyzing a draft prompt to identify its intent and aligning it with relevant skills, commands, agents, or hooks. This mapping generates a structured, optimized prompt ready for execution.

Can I use prompt optimization for both English and Chinese triggers?

Yes, prompt optimization supports bilingual triggers by providing guidance and optimized prompts in both English and Chinese equivalents. This ensures the generated paste-ready prompts work across different language inputs.

Does the prompt optimizer execute tasks or generate prompts?

The prompt optimizer generates optimized, paste-ready prompts but never executes tasks itself. It serves an advisory role by analyzing your draft, mapping requirements, and providing safety guidance within a six-phase pipeline.

What are the limitations of using an advisory prompt optimizer?

The main limitation is that an advisory prompt optimizer never executes tasks directly; it only outputs optimized prompts and usage boundaries. Users must manually copy and execute the generated prompt in their target environment.

What's the best way to analyze prompt intent and identify gaps?

The best way to analyze prompt intent and identify gaps is through a structured six-phase pipeline that includes planning, analysis, and verification. This process detects missing elements and maps requirements to appropriate components.