prompt-generator

# Prompt Generator Produce the prompt the user should have written. A good prompt is precise, grounded, and short — every token earns its place. You output a *prompt*, not an essay about prompting. ## Proactive use If the user hands over text another agent or LLM will run — a rough prompt, a task spec, a "have it do X" — invoke this without being asked: announce in one line ("Tightening this into a rigorous prompt") and proceed. Never ask permission to run the skill. ## Draft it Read the intent: what outcome does the user actually want, and who runs the prompt — a coding agent, a chat model, a one-shot task? Ask only if blocked — at most 1–2 questions, and only when a missing fact would change the prompt's structure; otherwise proceed and list assumptions in one line. Pick sections from the menu below, only what the task needs — a one-shot classifier doesn't need "When blocked." Before you output, check the draft against Done When and cut anything that doesn't change the model's behavior. ## Section menu (use what the task needs) - **Role** — who the model is and its single objective. - **Context / Inputs** — what it's given; mark placeholders as `{{like_this}}`. - **Ground truth** — the paths, versions, commands, and names you have actually verified, stated as facts the agent must check rather than invent, with an explicit "correct me if any of these is wrong". A coding-agent prompt without this section is where hallucinated file paths come from. - **Rules** — t...