TL;DR: This 5-step prompt chain helps you analyze job descriptions, identify resume gaps, and rewrite your application for specific roles.
The Discovery
Job hunting is exhausting because every application requires a slightly different version of your history. If you send a generic CV, you get ignored; if you rewrite it manually every time, you burn out. I found a solid workflow shared by u/CalendarVarious3992 that automates this customization process without losing quality.
The author designed this as a “chain,” meaning it flows logically from analysis to execution. It doesn’t just ask the AI to “fix my resume.” Instead, it forces the model to understand the requirements first, preventing those generic, hallucinated updates we often see.
The Prompt
Here is the exact text provided by the creator. Note that the tildes (~) represent breaks between steps. You can run this as one massive context window in models like Claude 3 Opus, or paste each section sequentially in ChatGPT.
Variables to replace:
- [RESUME]: Paste your full text here.
- [JOB_DESCRIPTION]: Paste the JD here.
- Analyze the following job description and list the key skills, experiences, and qualifications required for the role in bullet points. Job Description:[JOB_DESCRIPTION]
- Review the following resume and list the skills, experiences, and qualifications it currently highlights in bullet points. Resume:[RESUME]
- Compare the lists from Step 1 and Step 2. Identify gaps where the resume does not address the job requirements. Suggest specific additions or modifications to better align the resume with the job description.
- Using the suggestions from Step 3, rewrite the resume to create an updated version tailored to the job description. Ensure the updated resume emphasizes the relevant skills, experiences, and qualifications required for the role.
- Review the updated resume for clarity, conciseness, and impact. Provide any final recommendations for improvement.
Why This Works
This approach relies on Chain of Thought prompting. By breaking the task into five distinct steps, the author prevents the AI from rushing to a solution.
- Context Establishment (Steps 1 & 2): Before writing a single word, the AI must prove it understands both documents. This grounds the subsequent generation in facts rather than assumptions.
- Gap Analysis (Step 3): This is the most critical part. By explicitly asking for “gaps,” the prompt forces the AI to act as a recruiter. It identifies exactly what is missing, which gives you the chance to say, “Actually, I do have that skill, I just forgot to list it.”
- Iterative Refinement (Step 5): The final step acts as a quality assurance layer, catching robotic phrasing or overly wordy sentences.
Variations to Try
While this chain is excellent, you can tweak it to fit your specific industry needs.
- The ATS Check: In Step 5, add a specific instruction like: “Review the updated resume specifically for Application Tracking Systems (ATS). Ensure standard formatting is used and keywords from the JD are included naturally.”
- The Tone Shift: If you are applying to a startup versus a bank, modify Step 4. Add: “Match the tone of the rewrite to the company culture implied in the job description (e.g., formal and corporate vs. energetic and innovative).”
📝 Use Cases
- Tech Roles: ensuring your listed tech stack matches the specific versions or frameworks requested in the JD.
- Management: pivoting your bullet points to emphasize leadership and strategy rather than individual contribution.
- Career Pivot: highlighting transferable skills when your previous job titles don’t perfectly match the new role.
This is a smart way to handle the volume of modern job applications. If you want to see the original discussion or offer feedback to the creator, check out the full thread on Reddit.
Resume Optimization for Job Applications. Prompt included
by u/CalendarVarious3992 in PromptEngineering