prompt-improver

You can clarify vague prompts by triggering a four-phase workflow that gathers conversation context, generates 1–6 multiple-choice questions to reduce ambiguity, and waits for your answers before executing.

The best way to automate clarifying questions is implementing a UserPromptSubmit hook that triggers a four-phase workflow: researching context, generating precise questions, presenting them interactively, and executing the task once intent is confirmed.

Context research improves prompt clarification by analyzing conversation history and relevant files to ground the generated questions, ensuring the 1–6 multiple-choice questions target the actual ambiguities in the vague user prompt.

Yes, you can bypass the clarification phase and execute immediately. The workflow triggered by the UserPromptSubmit hook includes optional bypass semantics, allowing it to skip question generation and proceed directly to action when prompts are clear.

Yes, the prompt clarification workflow supports multiple-choice questions. During the question generation phase, it produces 1–6 precise, multiple-choice options to concretely capture user intent and reduce ambiguity before execution.

You should avoid using automated clarifying questions when your prompts already contain clear intent and sufficient context, as the optional bypass semantics will skip the workflow, or when operating outside interactive AI sessions where presenting questions is not feasible.