The job market in 2026 runs through ATS filters, AI screeners, and recruiters who skim a resume in 7 seconds. Generic ChatGPT output produces generic resumes — and generic resumes get auto-rejected.
Below are 4 of the 14 prompts I use when helping people land interviews. Each one has been tested against real ATS systems (Workday, Greenhouse, Lever) and live recruiters in the last 30 days. The full 14-template guide covers cover letters, LinkedIn About + headline, recruiter DMs, salary negotiation, career-gap explainers, and more.
The universal resume-prompt formula
Every strong resume prompt has six slots. Fill them in order:
[ROLE]: who the AI is (e.g. "Senior tech recruiter at FAANG")
[CONTEXT]: your background (industry, years, level)
[INPUT]: the raw material (existing bullet, JD, your experience)
[GOAL]: what success looks like (interview, ATS pass, callback)
[FORMAT]: how to deliver (3 bullets, 75 words, table)
[CONSTRAINTS]: what to avoid (no buzzwords, no fluff, action verbs only)
Skip any slot and the model fills it with cliché — "results-oriented professional," "team player," "passionate about." The exact words ATS systems filter on.
Run any rough draft through our free prompt enhancer first — it'll tighten the structure before you waste tokens.
1. STAR-method bullet rewriter
Use when: A resume bullet sounds vague ("Helped grow team," "Led various projects").
You are a senior recruiter who screens 200 resumes per week. Rewrite the bullet
below using the STAR method (Situation, Task, Action, Result), in 1 sentence,
with a hard quantified result.
Original bullet:
"[PASTE YOUR CURRENT BULLET]"
Constraints:
- Start with a strong action verb (Led, Shipped, Reduced, Generated, Built)
- Include one specific number (%, $, hours saved, users impacted, time-to-X)
- Maximum 24 words
- No buzzwords (synergy, leverage, spearhead, dynamic)
- Use past tense for completed work
Return 3 variants ranked by impact.
Why it works: The 24-word cap forces signal density. Three ranked variants give you A/B options. The banned-word list strips the exact tokens that flag a resume as AI-generated.
2. Job-description keyword extractor (ATS pass)
Use when: Before tailoring your resume to a specific job posting.
Act as a Workday/Greenhouse ATS parser. Read the job description below and
extract:
1. The 10 hard skills the system will weight most heavily (rank by frequency
of mention)
2. The 5 soft skills repeated 2+ times
3. The exact job title phrase (must appear verbatim on resume)
4. Any years-of-experience requirement
5. Any certifications mentioned
Return as a markdown table I can use as a checklist.
Job description:
"[PASTE FULL JD]"
If a keyword from list 1 isn't on your resume word-for-word, the ATS likely filters you out before a human ever sees it. This step alone improves callback rates 3-5x.
3. Resume-to-JD alignment scorer
Use when: You want to know your ATS score before hitting submit.
You are an ATS scoring engine. Compare the resume below against the job
description and produce:
1. **Overall match score** (0-100, calibrated to how Greenhouse weights matches)
2. **Top 5 missing keywords** (would unlock score gains)
3. **Top 3 strongest matches** (highlight in interview)
4. **3 specific edits** to push the score above 80
Resume:
"[PASTE FULL RESUME]"
Job description:
"[PASTE FULL JD]"
Rule of thumb: anything below 70 will not get past an ATS. Aim for 80+ before submitting.
4. Cover letter (the non-cringe version)
Use when: You actually need a cover letter and don't want it to read like everyone else's.
Write a cover letter for the role below. NO templated phrases. Reads like a
real human wrote it in 20 minutes, not 2.
Job: [PASTE JOB TITLE + COMPANY + 1-LINE WHY YOU'RE INTERESTED]
My background: [PASTE 3-LINE BIO]
Strongest match: [THE 1 EXPERIENCE THAT MOST RELATES TO THIS ROLE]
Structure:
- Para 1 (3 sentences): the specific reason I'm writing for THIS role at
THIS company. Reference something concrete (a recent product launch,
a team-page hire, a Founder essay).
- Para 2 (4 sentences): the experience most relevant to the job, with
one quantified result.
- Para 3 (2 sentences): one question I'd ask in a first call (proves
I've thought about the work).
- Sign-off: 1 line, no "looking forward to hearing from you"
Total: under 220 words. Subject line in first reply.
Why it works: The "reference something concrete" constraint forces real research, which is the single signal that separates a human cover letter from a templated one.
The other 10 prompts (quick hit list)
The full guide covers:
- Career-change repositioning (pivot industries without starting over)
- Executive summary writer (the 3-line opener at the top of a resume)
- LinkedIn About section (the 2,000-character pitch most people botch)
- LinkedIn headline (5 ranked variants)
- Recruiter outreach DM (first-touch message that gets a reply)
- Interview answer (STAR-formatted, 90 seconds spoken)
- Salary negotiation script (exact words for the counter-offer call)
- Job search tracker (ChatGPT as your application CRM)
- Career gap explainer (address it honestly + briefly)
- Reference request email (ask without making it weird)
Common mistakes (5 things that kill callback rates)
- Letting AI keep buzzwords. Strip "results-oriented," "team player," "passionate," "spearheaded," "leveraged," "synergy" every time. They make you invisible.
- Using "we" instead of "I". "We launched X" tells the recruiter nothing about you. Always rewrite to "I led the X launch."
- Skipping the JD-keyword pass (template #2). ATS filters drop 60-75% of resumes before a human reads them. Skipping this step is why your applications die in queues.
- One resume for all roles. Run template #3 for each application — adjust 5-10 keywords per JD. 15 minutes per resume = 3-5x callback rate.
- Letting AI write the cover letter cold. Always paste the actual JD + a real reason you're interested. Generic cover letters are obvious and instantly skipped.
Resources
- Full 14-template guide on midastools.co — same prompts, deeper context on each
- Free prompt enhancer — paste a vague bullet, get a recruiter-ready version back
- AI Resume & Career Kit ($29) — 125+ prompts across resume, LinkedIn, interview prep, salary negotiation, career pivots
Originally published at midastools.co. If a prompt here lands you an interview, send me a note — those stories make my week.
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