prompt-optimizer

Analyze draft prompts and output ECC-ready optimized prompts.

1|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/aayushsoam/clawbot-plus --skill prompt-optimizer-aayushsoam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/aayushsoam/clawbot-plus/tree/main/skills/prompt-optimizer
Command: npx skills add https://github.com/aayushsoam/clawbot-plus --skill prompt-optimizer-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes raw prompts, identifies intent and gaps, and outputs a ready-to-paste optimized prompt that aligns with ECC components.

Core Features & Use Cases

  • Analyze prompts for intent and gaps
  • Map to ECC components (skills/commands/agents/hooks)
  • Output paste-ready prompts and workflow guidance

Quick Start

Paste a draft prompt and request an optimized ECC-ready version.

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 analysis?

To optimize a draft prompt, you analyze its intent, identify gaps, and map it to ECC components to output a paste-ready prompt with structured workflow steps like plan, tdd, and verify.

What is an ECC-ready prompt and how does it work?

An ECC-ready prompt is a fully self-contained instruction mapped to ECC ecosystem components, ensuring advisory-only behavior without executing tasks while outlining clear workflow steps.

Can I use prompt optimization for non-English or domain-specific prompts?

Yes, prompt optimization is applicable to ECC prompts across various domains and languages, supporting triggers like optimize prompt or their Chinese equivalents to map intent to components.

What is the best way to structure prompts for complex software engineering tasks?

The best way to structure complex prompts is to critique the draft, map requirements to ECC components, and output a self-contained prompt that sequences workflow steps like plan, tdd, and verify.

Why does my optimized prompt maintain advisory-only behavior without executing tasks?

Optimized prompts maintain advisory-only behavior to ensure safe prompt engineering practices, providing structured workflow guidance and component mapping without directly executing the requested tasks.

Do I need specific ECC components to improve my prompt?

You do not need pre-existing components to improve your prompt; the optimization process maps your draft to relevant ECC skills, commands, agents, or hooks and outputs a ready-to-paste version.