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prompt-optimizer

Analyze draft prompts and generate optimized ECC workflow prompts.

2|Updated May 11, 2026
Search Tags:#prompt engineering#claude code#prompt optimization#ecc#workflow alignment#ai task prompting
One-click install
npx skills add https://github.com/himanshu231204/AI_Research_agent --skill prompt-optimizer-himanshu231204
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/himanshu231204/AI_Research_agent/tree/main/.opencode/skills/prompt-optimizer
Command: npx skills add https://github.com/himanshu231204/AI_Research_agent --skill prompt-optimizer-himanshu231204

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users frequently write vague, incomplete prompts for ECC that fail to leverage available commands, skills, and agents, leading to inefficient task execution and missed best practices for AI-assisted development workflows.

Core Features & Use Cases

  • Prompt Analysis & Enhancement: Analyzes raw draft prompts to identify user intent, gaps in context, and missing requirements, then maps them to the correct ECC ecosystem components.
  • ECC Component Matching: Automatically aligns the task intent, scope, and detected tech stack with the optimal set of ECC commands, skills, and agents for streamlined workflow execution.
  • Use Case: For example, if a user submits a vague prompt like "add a user login feature", the skill will output a polished prompt that includes the correct tech stack context, required ECC workflow steps, clear acceptance criteria, and explicit scope boundaries.

Quick Start

Use the prompt-optimizer skill to turn your rough draft ECC task prompt into a fully optimized, ready-to-paste version that leverages the right commands, skills, and agents for efficient execution.

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 Claude Code task execution?▼

To optimize a draft prompt for Claude Code, the skill analyzes your raw text to detect user intent, assess project scope, and match requirements with the correct ECC commands, skills, and agents. It outputs a ready-to-paste enhanced prompt with clear acceptance criteria.

Why does my ECC prompt fail to leverage available commands and skills?▼

Your ECC prompt likely fails because it lacks sufficient context, explicit scope boundaries, and required tech stack details. The skill solves this by identifying missing requirements and mapping your intent to the optimal ECC workflow components.

What is the best way to structure an AI task prompt for new feature development?▼

The best way to structure an AI task prompt for new feature development is to include the correct tech stack context, required ECC workflow steps, clear acceptance criteria, and explicit scope boundaries to ensure efficient AI-assisted execution.

Can I use prompt optimization for bug fixes and refactoring workflows?▼

Yes, you can use prompt optimization for bug fixes and refactoring workflows. The skill performs intent detection and ECC component matching across all user task scenarios, including research and EPIC architectural projects, to produce aligned prompts.

Do I need to manually specify ECC agents and commands in my initial prompt?▼

No, you do not need to manually specify ECC agents and commands in your initial prompt. The skill automatically aligns your task intent and detected tech stack with the optimal set of ECC ecosystem components for streamlined workflow execution.

What are the limitations of using automated prompt engineering for ECC workflow alignment?▼

Automated prompt engineering for ECC workflow alignment relies on accurate intent detection from your raw draft. If the initial draft prompt is extremely vague or missing fundamental project context, the resulting optimized prompt may still lack necessary architectural direction.

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