AI prompt directory

Define brand content pillars with headings and practical implementation bullets.

Create a brand identity brief covering name, logo, colors, typography, voice, and personality.

This prompt breaks down the transcript of a quarterly results call or investor conference for equity research. It pulls out what management said, the analyst questions, financial and operating signals, warning signs, and less obvious hints, then writes an executive summary in bullets.

Build a simple budget from last month's transactions list.

This prompt builds a list of books on a writer or a subject in three stages: core works, wider reading, and further exploration. Each pick has a one-line reason, and a short summary closes the plan.

This prompt turns a description of your claim into a JSON checklist. It lists coverage points to confirm, documents and evidence to gather, deadlines, questions for the insurer, and warning signs.

Identify automation opportunities in a business process and frame potential time savings.

Extract an event name, date, and participants from prose into a calendar JSON object.

Convert call notes into CRM disposition, outcome, follow-up, summary, and do-not-call fields in JSON.

Turn raw interview notes into a structured candidate scorecard.

Role-play a named career coach, retain conversation history, and give advice about changing careers.

Create a prioritized 30/60/90-day career action plan from a background and goal.

Extract explicit character traits into a flat JSON object with snake_case keys and typed values.

This prompt reads raw email headers and checks the SPF, DKIM, ARC, and DMARC verdicts along with domain alignment. It says whether the message looks spoofed and lists security concerns and fixes. It includes a sample shell script that looks up DMARC records.

Assign a large-spend transaction to one of five fixed budget categories.

Produce steps and transformed headers to clean a messy CSV.

Organize patient notes into concerns, timeline, medications, questions, and clinician follow-up prompts without diagnosing.

Convert a clothing request into a product-search call with category, subcategory, and color arguments.

Explain a code snippet's purpose, components, and behavior in plain language with examples and analogies.

Review a diff against a scored rubric for correctness, security, and clarity.