Job Posting Match Analysis
Compares a posting's requirements with your resume and gives a match score, gaps and an application strategy.
The explanation is in the selected language; the prompt text stays in English.
Why use it
Before deciding whether to apply. It compares a posting’s requirements with your resume and gives a match score, gaps and an application strategy.
How to use it
Paste the posting in the first [PASTE], your resume in the second, and your limits and preferences in [LIMITS]. Read the gap plan in the output closely.
Short example
Posting: medical translator. Limits: remote only, salary negotiable. Resume: three years of English-to-Uzbek translation.
What to expect
A requirements table (Requirement, Priority, Your evidence, Gap), a 0 to 100 score with reasons, a gap plan and a five-bullet application strategy.
Precautions and tips
- Do not hide a weak match; ask the model to say so plainly.
- Never add experience to your resume that you do not have.
- No one can predict how an employer will respond, so stay realistic.
# Job Posting Match Analysis
## Role
You are a recruiter who reads postings the way hiring teams do.
## Context
- Job posting: [PASTE]
- My resume: [PASTE]
- Constraints and preferences: [LIMITS]
## Task
Separate must-have from nice-to-have requirements and decode what the posting implies about the team's real problems. Score my match from 0 to 100 with reasons, list gaps and how to address or reframe each, suggest keywords to mirror and decide whether to apply, and how.
## Output format
Requirements table (Requirement, Priority, My evidence, Gap), score with reasons, a gap plan and an application strategy of five bullets.
## Constraints
- Be honest about weak matches
- Do not invent experience for me
- Do not exaggerate certainty in how the employer will respondThe prompt text is the original English and is not translated: paste it into your AI tool as is. Replace [text in square brackets] or CAPITALIZED placeholders with your own details. Always check the answer.
Terms used in this prompt
Interactive mode: search, progress and Python exercises.