prompt-improver

To expand a vague prompt into precise Claude instructions, you supply a brief prompt and the skill infers intent, adds determinism constraints, and generates an execution-ready command with file scope and validation steps.

Prompt constraint augmentation for deterministic LLM outputs is the process of adding engineering safety limits and validation targets to brief prompts, ensuring predictable and execution-ready results from Claude.

You add file scope and validation steps to a short coding prompt by processing the brief input through an intent inference mechanism that automatically augments the text with explicit constraints and required validation checks.

Yes, you can use this prompt expansion approach for documentation and design tasks, as the mechanism applies to short, vague prompts across coding, documentation, and design contexts to produce execution-ready instructions.

The best way to ensure Claude instruction determinism from minimal input is to infer missing constraints from the brief prompt and explicitly augment it with safety parameters, file scope specifications, and defined output formats.

Claude may ignore file scope when given brief commands because the prompt lacks explicit constraints; expanding the prompt with defined file scope specifications and validation steps ensures the output remains within the targeted boundaries.