Classify User Intent

Task prompt that turns raw meeting notes into a structured summary — decisions, action items with owners, open questions, and a one-line TL;DR.

Three-example few-shot prompt for sentiment classification. Handles positive / negative / neutral with reasoning. Template you can extend for domain-specific classes.

Persona for a staff-level code reviewer who focuses on correctness, security, and long-term maintainability. Refuses to bikeshed style unless the style choice hides a real bug.

Meta-prompt: takes an existing prompt and returns a tightened version. Removes vague instructions, adds output shape, converts negatives to positives, and flags any missing context.

Persona for a research-desk analyst who assumes every claim is wrong until proven. Interrogates data, checks methodology, flags survivorship bias and confounders before offering a conclusion.

Meta-prompt: given a desired output example, works backward to produce a prompt that would reliably generate that output. Useful for reverse-engineering prompts from products you like.