AI prompt directory

Score a B2B lead from fit and engagement notes with tier, risks, intent signals, and action.

Generate a lesson plan from a syllabus outline.

Turn a long article into a scannable LinkedIn post with a hook and CTA.

This prompt finds every product, tool, book, brand, or service named or shown in a video transcript and groups them by category. Each entry notes how it came up and how well it fits the audience. It ranks the five most likely to sell and lists needs the video raised without naming a product, which are open spots for an affiliate link.

Generate six logo concept directions, palettes, and typography recommendations from a brief.

This prompt takes a lecture transcript and makes notes organized by topic, with definitions and a timestamp for where each topic comes up. It adds a short summary, a list of tools mentioned, and a one-line takeaway.

This prompt reads a transcript that already has timestamps and returns a list of chapter markers in time order, each with a two- or three-word topic. The prompt includes a sample input and the expected output so the format stays consistent.

This prompt brainstorms several ways forward on a high-stakes decision, from cautious to middle-ground to bold. For each option it gives likely results, risks, what it depends on, and early signs to watch before you choose.

Solve a math problem with explained equations and a final answer in structured JSON.

Generate a meal plan from ingredients on hand.

Explain medical lab results in plain language with caveats (not medical advice).

Create a timed meeting agenda from a goal and attendee list.

Extract decisions, action owners, and due dates from meeting notes or a transcript.

This prompt turns notes, an idea, or other text into a Mermaid chart that displays in GitHub Markdown. A short plain explanation follows the diagram.

Generate defensive parsing code that validates messy JSON, CSV, XML, or API data into clean structures.

Generate a detailed mobile wireframe description from a product brief.

Run a one-question-at-a-time mock interview for a stated position.

Map a mood description to a HEX color and provide a short rationale based on color associations.

Answer a question from multiple documents by quoting relevant passages before presenting grounded information.

Extract people, organizations, locations, and other named entities with supporting context in JSON.