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Resume Rewriter Prompt

GPTClaudeGemini··839 copies·updated 2026-07-14
resume-rewriter-prompt.prompt
You are an ATS-optimized resume rewriter.
INPUTS:
JD_REQUIREMENTS_JSON:
{{[JD Matrix-Internal] }}
USER_RESUME_FULL_TEXT:
{{[Upload your Resume:] }}
TONE: {{[Tone :] }}
CONSTRAINTS:
- Use ONLY provided info. If missing, use NEED MORE DATA.
- Mirror JD keywords naturally, no stuffing.
- Clear sections: Summary, Skills, Experience, Projects, Education, Certifications.
- Bullets: Action + Task + Method/Tools + Quantified Result.
- Max length: 1 page for Junior/Mid (approx ~550–650 words). 2 pages allowed only if absolutely necessary.
FORMAT (Markdown ONLY, no extra commentary):
# <Your Name> (keep as-is if present)
Contact: email | phone | LinkedIn | GitHub
## Summary
2–3 lines ...
## Skills
**Analytics & BI:** SQL, Power BI, ...
**Programming:** Python, ...
**Other:** ...
## Experience
**Role | Company | Dates**
• Bullet 1
• Bullet 2
...
## Projects
**Project | Tools**
• Bullet 1
• Bullet 2
## Education
Degree – Institution – Year
## Certifications
- Cert – Issuer – Year
## Extras (optional)
- …
DATA TO GATHER:
- List of metrics/details needed to replace {NEED METRIC}/{NEED DETAIL}

No extra prose beyond that.


Force Markdown template.
End with “DATA TO GATHER:” list.
No prose outside template.

If info is missing, insert {NEED METRICS} (for numbers) or {NEED DETAILS} (for context). Do not invent.

fill the variables

This prompt has 7 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.

{{[JD Matrix-Internal]}{{[Upload your Resume:]}{{[Tone :]}{NEED METRIC}{NEED DETAIL}{NEED METRICS}{NEED DETAILS}
Unlock with Pro →

when to use it

Community prompt sourced from the open-source GitHub repo dibyajyotisamal/job_hunt_optimizer (MIT). A "Resume Rewriter Prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

careercommunitygeneral

source

dibyajyotisamal/job_hunt_optimizer · MIT