Cut a draft by a third without losing meaning
Shortens any piece of writing to a word target while keeping every point, so you can hit a limit without gutting the argument.
96 prompts in 8 categories. Search by task, or pick a category.
Emails, edits, tone fixes and first drafts.
Shortens any piece of writing to a word target while keeping every point, so you can hit a limit without gutting the argument.
Asks the model to grade your draft against a goal and name its weakest parts, instead of the polite praise models default to.
Fixes spelling, grammar and punctuation, then lists each change with a reason so you learn the pattern instead of just accepting edits.
Removes hedging, apologies and filler from an email so it reads as clear and assured, without turning rude.
Turns technical, legal or corporate text into plain English for a specific reader, and flags anything that could not be simplified safely.
Studies two or three samples of your writing and rewrites new text to match your sentence length, vocabulary and tone.
Debugging, reviews, tests and refactors.
Writes a clear task brief for an AI coding agent: scope, files, constraints and a definition of done, so it changes what you meant.
Writes a regex from plain-English rules plus examples that should and should not match, then explains each part.
Narrows down which open-weights model, size and quantization level fit your hardware and task, with trade-offs explained.
Recommends temperature, top-p, max tokens, stop sequences and caching for a specific LLM task, with the reasoning for each.
Turns a confusing bug into a ranked list of hypotheses, each with a quick test, so you stop changing code at random.
Translates a stack trace into plain English, names the most likely cause in your code, and gives the smallest fix to try first.
Briefs, titles, schema and AI search visibility.
Writes short, snippet-ready answers to a list of search questions, each one direct enough to be quoted on its own.
Judges whether your page gives searchers what they want for a keyword, and lists the specific changes that would close the gap.
Builds a writer-ready brief with search intent, outline, questions to answer and the angle that beats current results.
Audits an older article for outdated facts, missing subtopics and weak sections, and gives a prioritised update plan.
Sorts a raw keyword list into clusters by search intent, so you know which keywords one page can target together.
Reviews a page for the things that make AI answer engines quote it: direct answers, clear facts, named sources and clean structure.
Positioning, ads, landing pages and launches.
Breaks down how competitors describe themselves and finds the claims nobody is making, so you can stand apart.
Turns what you know about your product, customers and competitors into a clear positioning statement and the messaging that follows from it.
Pulls themes, quotes and surprises out of interview transcripts, with every claim traced to who said it.
Writes an image prompt for a studio-style product shot on a clean background, ready for a shop listing or social post.
Finds the benefits, phrases and objections customers actually use in reviews, so your copy sounds like them.
Builds a 4-week posting plan with themes, formats and post ideas grounded in what your audience cares about.
Plans, pricing, meetings and decisions.
Turns a vague meeting idea into a timed agenda with a decision to reach, pre-reading and an owner for each item.
Turns a business idea into a one-page plan covering customer, offer, pricing, channels, costs and the riskiest assumption to test first.
Writes a short, practical policy on which AI tools staff can use, what data they can share, and how to check AI output.
Estimates monthly API costs for an AI feature from expected usage and token prices, and shows which levers reduce cost most.
Reads your pricing page as a sceptical buyer would, and lists what is confusing, missing or likely to stall a purchase.
Summarises key terms, obligations, dates and risks in a contract, with clause references so you can check each point.
Sources, summaries, comparisons and fact checks.
Makes the model answer strictly from documents you provide, cite which one each fact came from, and admit when the answer is not there.
Lines up what several sources say about one question, how strong each one’s evidence is, and where they disagree.
Writes a focused survey with clear, unbiased questions and answer options, plus how you will use each answer.
Builds a bottom-up market size estimate with stated assumptions, then checks it against a second method to see if the answers agree.
Pulls out every checkable claim from a text, rates how likely each is to be true, and says how to verify it.
Reads a table or CSV, answers your question with the numbers, and flags what the data can and can not tell you.
Explanations, study plans and practice questions.
Explains one concept for a child, a curious adult and a practitioner, so you can climb from intuition to detail.
Explains any topic from zero, using one everyday analogy, then checks your understanding with a quick question.
Gives an accurate, plain-English explanation of how chatbots like ChatGPT and Claude work, what they are good at, and where they fail.
Reviews a prompt you wrote, explains what is missing, and teaches you the habit so your next prompt is better on its own.
Solves one problem slowly with every step explained, then gives you a similar problem to solve on your own.
Sets the model up as a tutor that guides you with questions and hints instead of giving the answer away.
Planning, notes, inbox and weekly reviews.
Splits an overwhelming task into small, concrete steps, and gives you one step you can start in the next five minutes.
Summarises a long Slack, Teams or email thread into what was decided, what is still open, and what anyone needs from you.
Scores options against criteria you weight yourself, shows the totals, and tests whether the winner holds up when weights change.
Builds a kickoff document covering goals, scope, roles, risks and the first two weeks of work, so the project starts with no loose ends.
Maps a repetitive task into steps an AI agent can do, which tools it needs, and where a human must approve before anything is sent.
Asks the model to rewrite your prompt with clearer context, constraints and output format, and to list what it still needs from you.
96 prompts in 8 categories. Copy one, fill in the blanks, paste it into any model.
Promptlexity is a free library of 96 AI prompts and 8 downloadable AI skills across 8 categories, plus a glossary of 64 AI and prompting terms. Each prompt shows the exact text to paste, the variables to fill in, an example of what comes back, and why it works. Each glossary term has a plain-English definition, an example and a common mistake. 6 step-by-step guides cover the basics. No signup, works with ChatGPT, Claude, Gemini and other models.