Transforms draft instructions into high-fidelity, component-aware prompts by analyzing intent and project context.
The Prompt Optimizer acts as a specialized advisory layer for Claude Code, bridging the gap between vague user requests and precise execution. It performs a multi-phase analysis of your draft prompts, automatically detecting your project's tech stack and project-specific conventions. By mapping your intent to the ECC ecosystem's specific commands, skills, and agents, it provides a ready-to-paste optimized prompt. It ensures all critical context—such as acceptance criteria, security requirements, and testing expectations—is addressed before you begin a task, significantly improving the quality and reliability of AI-generated code.
Key Features
011 GitHub stars
02Automatic tech stack detection from project configuration files
03Intent classification across features, bug fixes, refactoring, and more
04Multi-phase workflow and model recommendations based on task scope
05ECC component matching for commands, skills, and specialized agents
06Missing context gap analysis with targeted clarification questions
Use Cases
01Converting a simple request into a comprehensive TDD-driven prompt
02Architecting complex multi-session migrations using the blueprint skill
03Ensuring tech-stack-specific patterns are included in implementation prompts