Sentiment Analysis (few-shot)

Task prompt that classifies a user message into one of a fixed set of intents. Returns strict JSON. Good template for building fast intent routers.

Four-example few-shot prompt for turning natural-language questions into SQL against a provided schema. Uses PostgreSQL syntax; includes an aggregation, a join, and a filter example.

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.