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Agents & MCP

AI-Powered Job Application Framework Using Claude Code

July 10, 2026· 3 min read
OKCurated by Oleksandr Kuzmenko, AI Product Engineer·Updated July 10, 2026·Sources cited on every story
AI-assisted · editor-reviewed·How we use AI
AI-Powered Job Application Framework Using Claude Code

An open-source framework that leverages Claude Code to automate job searching, CV tailoring, and interview preparation. It provides a structured pipeline to score job fits and draft application documents.

Impact: High

Why it matters

Automate the repetitive grunt work of job hunting while maintaining control over the final content.

TL;DR

  • 01Automate job scraping and CV tailoring
  • 02Use LaTeX for ATS-compliant documents
  • 03Analyze skill gaps using current job postings

Core Workflow

The framework relies on Claude Code to coordinate local tools. Setup is performed via /setup, while jobs are managed through /scrape and /apply.

LaTeX Integration

By utilizing lualatex and xelatex, the framework generates professional, ATS-friendly documents. It includes a validation step to ensure your generated CV is fully parseable.

Career Intelligence

Use the /rank command to batch-score scraped jobs. The system performs a fit analysis across five dimensions, helping you prioritize applications that have a higher probability of success. The /interview command builds a prep pack using the specific job description and your past application history.

✓ When to use

  • Active job hunting
  • Building a data-driven career strategy
  • Standardizing application material across multiple portals

What to do today

  • →Fork the repo and set up your documents folder
  • →Run /setup to ingest your profile and history
  • →Test ATS compatibility with the /apply workflow
#Claude Code#LaTeX#TypeScript

Sources

  • AI Job Search Framework on GitHub
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