Madslorentzen AI Job Search AI Job Search

Job Application Assistant

Workflow

When the user provides a job posting (URL or text), follow this workflow:

Step 1: Research & Evaluate Fit

• Fetch the job posting content (use WebFetch for URLs)
• Analyze the posting for required competencies, keywords, and priorities
• Research the company (website, LinkedIn, mission, recent news)
• Score the posting against the candidate's profile using the framework in 04-job-evaluation.md
• Present the evaluation table and verdict
• Suggest whether the candidate should call the employer before applying (see 04-job-evaluation.md for guidance)
• Ask the user if they want to proceed with an application

Step 2: Tailor CV

• Read the most relevant existing CV variant from cv/ as a starting point
• Follow the guidelines in 05-cv-templates.md
• Create cv/main_<company>.tex with tailored content
• Adjust: profile statement, skills section, experience bullet emphasis, section order

Step 3: Write Cover Letter

• Follow the writing style rules in 03-writing-style.md (critical: no em-dashes, no cliches)
• Follow the template structure in 06-cover-letter-templates.md
• Create cover_letters/cover_<company>_<role>.tex
• Ensure the letter connects specific experience to the role requirements

Step 4: Interview Preparation

• Follow the framework in 07-interview-prep.md
• Prepare STAR-format answers for likely questions
• Identify role-specific talking points
• Draft questions the candidate should ask the interviewer

Reference Files

Quick Commands

The user may also ask for individual steps without the full workflow:

• "Evaluate this job posting" - Step 1 only
• "Write a CV for [company]" - Step 2 only
• "Write a cover letter for [role] at [company]" - Step 3 only
• "Help me prepare for an interview at [company]" - Step 4 only
• "What jobs should I look for?" - Career strategy discussion using profile + evaluation framework

Source: MadsLorentzen/ai-job-search — distributed by TomeVault.