prompt polisher pro

Most prompts underperform because they're vague — no role, no context, no constraints, no example. You end up rerunning and tweaking instead of getting what you wanted the first time. What it does - Rebuilds a rough prompt using five techniques: role assignment, context loading, explicit constraints, output-format spec, and a worked example - Turns a one-line ask into a structured, repeatable prompt - Can run the polished version so you see the result right away - Works for any model or task Why it beats prompting yourself Knowing a prompt is weak and knowing how to fix it are two different skills. This bakes in the techniques prompt engineers use, so you don't have to remember them every time. Use cases - Fixing a prompt that keeps giving mediocre output - Turning a quick idea into a reusable, shareable prompt - Standardizing prompts across a team or workflow - Learning what makes a prompt work by seeing the rebuild