prompt-master

Optimized prompts reduce token waste by stripping non-essential words and enforcing concise, load-bearing language. This skill audits your prompt to remove filler, applies role assignment, and outputs a ready-to-paste prompt that meets tool-specific syntax constraints.

Yes, you can generate prompts for tools like ChatGPT and Midjourney using tool-aware routing. The system detects the target AI model and automatically selects the appropriate prompt template to match specific syntax and constraints.

The best way to structure workflow automation prompts is through nine-dimensional intent extraction. This process clarifies task, output format, constraints, and context, then applies grounding anchors and few-shot examples to prevent fabrication.

Prompt engineering works for both generation and editing tasks across text, code, image, video, or voice models. The routing mechanism detects your specific task type and applies the correct template to produce a precise, ready-to-use prompt.

Your AI model loses context because prior decisions are not carried forward. This skill solves that by using memory block handling, which prepends previous decisions to maintain consistency and prevent repeated re-prompting across sessions.

You need to answer up to three questions only when necessary. The nine-dimensional intent extraction automatically clarifies your requirements, asking the minimum questions needed to generate a fully optimized, ready-to-paste prompt.