27 AI Resume Prompts That Actually Work (Copy, Paste, Edit)
The difference between an AI resume that lands interviews and one that reads like filler is almost entirely in the prompt. "Write me a resume" gets you a generic template. A precise, constrained prompt that forbids invention and demands outcomes gets you something a recruiter actually stops on.
Below is a working library, organized by resume section. Every prompt is copy-paste ready and written to work in Claude, ChatGPT, Gemini, or any capable model. The golden rule runs through all of them: you supply the facts, the AI supplies the polish, and it never invents what you didn't do.
If you want the full workflow these prompts plug into — the brain-dump, the critique loop, the tailoring pass — read how to use Claude to write your resume first. This page is the prompt reference you'll keep open beside it.
Before you start: the system prompt
Paste this once at the top of your chat. It sets the rules so you don't have to repeat them in every prompt:
You are an expert resume editor. Rules for this whole conversation:
1. Never invent facts, numbers, employers, or dates. If a number
would strengthen a line but I haven't given one, write [METRIC?]
as a placeholder.
2. Lead with outcomes, not responsibilities.
3. Plain, confident language — no buzzwords, no "results-driven
synergistic self-starter."
4. If something I gave you is weak or vague, tell me instead of
dressing it up.
Acknowledge and wait for my first section.
This single block is the highest-leverage thing on this page. It turns the model from a fiction generator into a disciplined editor.
Summary / professional profile
The summary is the first thing read and the first thing skipped if it's vague. Two or three lines, specific to you.
"Here are my last three roles and the job I'm targeting: [paste]. Write a 3-sentence professional summary. Sentence 1: who I am and years in the field. Sentence 2: my strongest, most relevant proof point. Sentence 3: what I'm looking to do next. No adjectives I can't back up in an interview."
Before: "Results-driven professional with a passion for excellence and a proven track record of success."
After: "Backend engineer with 6 years building payment systems at fintech scale. Led the migration that cut transaction failures by 40% across 2M monthly users. Looking to own reliability for a high-growth platform team."
Experience bullets
This is where most of the resume's weight sits. Transform duties into outcomes:
"Rewrite each bullet below to follow: [strong verb] + [what you did] + [measurable outcome]. Keep each to one line. Where I gave no number, leave [METRIC?] — don't invent one. Here are my raw bullets: [paste]."
Before: "Responsible for the company's email marketing campaigns."
After: "Ran the lifecycle email program end to end, lifting click-through from 1.8% to [METRIC?] across 12 monthly campaigns."
Then firm up the placeholders. If you genuinely don't have the number, go qualitative rather than fake-precise:
"For the bullets still showing [METRIC?] where I have no data, rewrite them to be specific and credible without a fabricated figure."
Skills section
Recruiters and ATS both scan this. Group it and prune it:
"From my experience above, list the skills that are genuinely demonstrated by what I actually did — not aspirational ones. Group them into 3–4 labeled categories (e.g. Languages, Tools, Domains). Drop anything I only touched once."
ATS keyword optimization
Applicant tracking systems filter on language match. The trick is matching the job's vocabulary using your real experience — never keyword-stuffing:
"Here's the job description: [paste]. Here's my resume: [paste]. List the important skills and terms from the posting that I genuinely have experience with but phrased differently. For each, suggest how to rephrase my existing bullet to use their term — without claiming anything untrue. Then separately list requirements I clearly don't meet."
That last list is a feature, not a failure — it tells you where to be honest or whether to aim at a closer-fit role. For the full mechanics of passing the filters, see ATS-friendly resume.
Tailoring to a specific job
Generic loses to targeted every time:
"Reorder and re-emphasize my resume for this specific role: [paste JD]. Move the most relevant experience up, trim what's irrelevant to this job, and adjust the summary to mirror their priorities. Don't add anything I didn't do — just change what's emphasized."
The critique pass
Always end by turning the AI into a skeptic:
"You're a senior recruiter screening 200 resumes a week for this exact role. Read mine and tell me bluntly what makes you stop reading, what's vague, and what's filler. Point to the specific line each time."
Run it, make the cuts, run it again. Two passes is the sweet spot.
A note on which AI to use
These prompts are model-agnostic — they work anywhere. The thing that varies is how reliably the model obeys the constraints: leaving [METRIC?] instead of inventing a number, and telling you a line is weak instead of flattering it. We've found Claude particularly steady on that honest-editor discipline, which is why our prompts lean into it. If you're choosing, we broke down the trade-offs in Claude vs ChatGPT vs Gemini for resumes.
Skip the copy-paste entirely
Every prompt here involves pasting your history, the job description, and the previous draft — again and again, in every session. There's a shortcut.
Connect Claude to your ResumeQuick profile and it reads your real resume, saved job analyses, and interview results directly. The prompts get shorter because the context is already there:
"Look at my latest resume and the role I analyzed yesterday, and tighten my top three bullets to match it — outcomes first, no invented numbers."
It takes two minutes: connect Claude to your resume.
Or skip prompting altogether — ResumeQuick's builder applies this same outcomes-first, ATS-aware editing to your profile automatically.