job search application suite

The problem

Applying for jobs manually is a fragmented process involving inconsistent tailoring, duplicate applications, and lost tracking. Managing multiple resume versions and verifying if a third-party job board posting is actually live on the employer's ATS is time-consuming and prone to error.

What it does

• Initializes a local workspace to store candidate profiles, preferences, and application history.
• Searches public job postings based on saved preferences while filtering out previously seen or applied-to roles.
• Verifies third-party listings against official employer or ATS pages to ensure the role is still active.
• Generates tailored resumes and cover letters by mapping candidate evidence directly to job requirements.
• Produces ready-to-send PDF application packets using headless renderers.

Frameworks & tools

Python, LibreOffice (for PDF generation), and Markdown.

Why this beats prompting it yourself

Generic prompts often hallucinate experience or reorder resumes in ways that look suspicious to recruiters. This skill enforces a strict data boundary, using only verified candidate evidence from your profile while maintaining a persistent tracker to ensure you never apply for the same role twice or waste time on expired listings.

Use cases

• Automating daily job discovery across multiple platforms without seeing duplicates.
• Generating a tailored application packet for a specific URL in seconds.
• Auditing a candidate profile against a job description to identify missing keywords.
• Maintaining a structured log of every position viewed, ignored, and applied for.

Known limitations

Cannot log into job boards, submit applications, or message recruiters directly. Requires LibreOffice for PDF conversion.