AI prompt directory

Translate code into pseudocode organized by ALGORITHM, INPUT, and OUTPUT sections.

Explain a codebase architecture, data models, authentication, and starting points for new engineers.

Create structured cold-email templates for helpful first-contact conversations.

Write a short LinkedIn connection note tied to a real shared context.

Generate a conventional commit message from a diff description.

Turn key points into a clearly formatted professional company memo.

This prompt puts two or more job offers next to each other and returns JSON. It works out the total yearly value of each offer, scores them against your ranked priorities, notes risks, and suggests what to negotiate.

Diff two contract versions and list material differences.

Produce a research questionnaire for tearing down a competitor.

Require agent work to show concrete results before treating it as progress.

Map conditional code into a decision tree with execution traces and refactoring opportunities.

Explain a legal letter or contract clause in plain English with risks called out (not legal advice).

Teach sequence, selection, and iteration through a phased, personalized learning path.

Translate corporate jargon into plain English using few-shot examples.

Write a compelling cover letter using resume facts and a job posting.

This prompt checks a prompt written for an LLM for unclear wording, missing definitions, instructions that clash, and assumptions left unstated. It returns a list of issues, suggested edits to specific lines, and a rewritten version.

Turn a customer call transcript into a structured CRM note.

Analyze customer feedback for sentiment, recurring themes, and actionable findings.

Create a scannable customer intake questionnaire for discovery conversations.

Write a five-email onboarding sequence with timing and purpose for each message.