Open-Source Job Search Framework Built in Claude Code

A developer who was laid off built an open-source job search framework in Claude Code to handle the entire job search workflow. Instead of manually applying, the system automates key parts of the process while maintaining human oversight.

Key System Components

The framework includes several interconnected components:

• Structured self-profiling: Creates a detailed profile of skills, experience, behavioral fit, and salary benchmarks
• Automated job portal scraping: Currently configured for the Danish market, but the pattern is swappable for other markets
• Fit evaluation system: Scores job postings against the user's actual profile before any application drafting begins
• Drafter-reviewer agent pipeline: One agent drafts tailored CVs and cover letters, while a separate reviewer agent checks drafts from a recruiter's perspective

Critical Design Decisions

The developer made three key architectural choices:

• The system stops before the submit button - every application requires manual review and the user presses send themselves
• Every claim must be grounded in the user's real profile - the AI cannot fabricate skills or inflate experience
• A separate reviewer agent checks drafts from a recruiter's perspective before the user sees the final version

Practical Insights

The developer found that the fit evaluation component proved more valuable than polished cover letters. Having the system score postings against their actual profile before investing hours in applications changed their approach to job searching. They reported passing on roles they would have "panic-applied" to previously.

The entire framework is available as open-source on GitHub, and the developer wrote a longer piece explaining the thinking behind the system on LinkedIn. They're also available to answer questions about the implementation or the Claude Code skills/agents setup.