job-application-assistant

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Assists with job applications: evaluating job postings, tailoring CVs, writing cover letters, and preparing for interviews. Triggers on keywords like: job posting, job application, CV, cover letter, resume, interview prep, job fit, career, application, apply, ansøgning, stilling

AI & Automation 41,777 stars 14378 forks Updated today MIT

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Skill Content

# 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>_<role>.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...

Details

Author
MadsLorentzen
Repository
MadsLorentzen/ai-job-search
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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