Email Thread Decisions Summary
Summarize an email thread into decisions, blockers, and open asks.
AI prompts.
316 prompts · 81–100
Summarize an email thread into decisions, blockers, and open asks.
Draft empathetic customer-support replies for common situations and response needs.
Detect language, translate to polished English, and return only the improved text.
Analyze an algorithm and explain its estimated Big-O time complexity step by step.
Write an Excel formula for a requested calculation and explain each component and worksheet usage.
Compress a long brief into three executive bullets with a risk callout.
This prompt summarizes a proposed bill or an existing law, lists the changes it would make, and contrasts how its backers present it with a balanced reading. It also points out parts that may get less attention, such as fees, loopholes, or cut programs, and their likely effects.
Explain a GitHub README in simple terms for a newcomer.
Explain an error message in simple terms with a fix path.
Explain a complex concept simply with a check question.
Explain a SQL query step by step in plain English.
Make a short explainer video script from a whitepaper.
This prompt reads a company register document and returns its shareholders as a JSON array. Each entry has the name, register details, address, date of birth, number of shares, and percentage held, and the prompt includes rules for checking and removing duplicates. Share amounts are assumed to be in euros.
Identify logical fallacies and provide fairer restatements for an argumentative text.
Generate FAQ answers from a raw help-center or docs dump.
Turn recurring support issues into FAQ sections that answer common customer questions.
Convert a feature request into user stories with acceptance criteria.
Classify items into labeled categories using few-shot examples and confidence scores.
Convert a Figma export description into CSS for a component.
Inspect Python code for bugs, explain each issue, and provide a corrected version.
A prompt is the text you give a language model so it generates a useful response — instructions, examples, constraints, and your content. Prompt engineering is the craft of writing those instructions clearly. This directory hosts ready-to-copy prompts on the page.
Open a prompt, copy the text, paste it into Claude, ChatGPT, Grok, Gemini, or another chat, fill the placeholders, and send. No account is required on this site.
A prompt is copyable chat text. A skill is an agent pack, often a SKILL.md folder. A method is one way to solve a use case on Can AI? — it might be a prompt, skill, agent, tool, or stack. The same prompt can appear here and as a method on a use case.
Yes. The prompt text is on the page. If we show a source credit, keep that credit. There is no paywall in front of the text.
Someone submits a prompt, or it arrives as part of a method on a use case. An editor publishes it. There is no paid placement.
Standalone prompts for writing, research, coding, ops, and other outcomes, tagged with the same sitewide categories as the rest of the directory so you can browse by area.