prompt-optimizer

Analyze draft prompts and generate optimized Claude Code ECC prompts.

26|1|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/BinyaminEden/claude-combine --skill prompt-optimizer-binyamineden
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-optimizer
Source: https://github.com/BinyaminEden/claude-combine/tree/main/skills/prompt-optimizer
Command: npx skills add https://github.com/BinyaminEden/claude-combine --skill prompt-optimizer-binyamineden

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Writing vague or incomplete prompts for Claude Code's ECC ecosystem leads to missed workflows, incorrect component usage, and subpar task results. This Skill eliminates that friction by analyzing draft prompts and producing optimized, ready-to-use versions tailored to your project and goals.

Core Features & Use Cases

  • Intent & Gap Analysis: Identifies the user's true task intent, missing context, and scope to ensure the optimized prompt is complete and actionable.
  • ECC Component Matching: Automatically maps the task to the correct ECC commands, skills, and agents based on intent and detected project tech stack.
  • Multi-Language & Scope Support: Triggers on both English and Chinese optimization requests, and handles everything from trivial single-file tasks to multi-session EPIC projects. Use Case: A user with a vague prompt like "add user authentication" gets a fully optimized prompt that includes the correct /plan, /tdd, and /code-review steps, plus relevant security and testing skills for their project's tech stack.

Quick Start

Use the prompt-optimizer skill to rewrite your draft prompt for adding a new feature to your current project.

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 vague prompt for Claude Code development tasks?

To optimize a vague prompt for Claude Code, the prompt-optimizer analyzes your draft to identify intent, fill context gaps, and map the task to the correct ECC workflow commands, generating a ready-to-paste version with acceptance criteria and model recommendations.

What is ECC component matching for AI task prompting?

ECC component matching for AI task prompting is the process of analyzing your draft prompt to automatically map your development intent to the correct Claude Code commands, skills, and agents based on your project's detected tech stack.

Can I use prompt optimization for multi-session EPIC project development?

Yes, you can use prompt optimization for multi-session EPIC project development. The skill handles task prompting scenarios across any supported tech stack, scaling from trivial single-file tasks to complex multi-session refactoring or new feature development.

Does the prompt optimizer support both English and Chinese optimization requests?

Yes, the prompt optimizer supports both English and Chinese optimization requests. It triggers on optimization requests in either language to analyze your draft prompt and generate a ready-to-use version tailored to your development goals.

What is the best way to structure AI task prompting for bug fixing and testing?

The best way to structure AI task prompting for bug fixing and testing is to analyze the draft prompt for scope boundaries and map it to the correct ECC commands, ensuring the optimized output includes relevant security and testing skills for your tech stack.

Why does my Claude Code prompt miss workflows and return subpar task results?

Your Claude Code prompt misses workflows and returns subpar results because it lacks complete context and scope. Prompt optimization eliminates this friction by analyzing your draft to identify gaps and generating an optimized version with correct workflow commands.