prompt-optimizer

To optimize raw prompts for ECC workflows, this tool analyzes intent, assesses scope, and matches requirements to ECC components to output a ready-to-paste optimized prompt. It processes inputs across planning, TDD, code review, and verification workflows.

ECC prompt engineering maps raw instructions to specific components like skills, commands, agents, and hooks. You need it when draft prompts lack context or structure, ensuring the model receives complete guidance for planning or code review tasks.

Yes, prompt optimization handles multilingual inputs including Chinese equivalents. The pipeline detects intent, identifies missing context, and maps the text to ECC components to produce both full and quick optimized prompt versions.

Mapping a draft prompt to ECC components involves detecting project scope and intent, then matching requirements to available skills, commands, agents, and hooks. The tool outputs an optimized prompt with missing context filled in automatically.

The best way to structure prompts for TDD and verification is applying a six-phase pipeline: project detection, intent detection, scope assessment, component matching, missing context detection, and model recommendation to generate complete optimized prompts.

No, the prompt optimizer serves an advisory role only and never executes tasks itself. It analyzes raw prompts, identifies gaps, and generates ready-to-paste optimized prompts with full and quick versions for downstream execution.