Open-source AI job search system built with Claude Code evaluates offers, generates tailored resumes
What it is
A developer has open-sourced a job search system built with Claude Code that turns your terminal into a job search command center. You paste a job URL, and it evaluates the offer, generates a tailored PDF resume, and tracks everything. The developer used it to evaluate 740+ offers before landing a role as Head of Applied AI.
How it works
The system uses Claude Code as the engine, reading a CLAUDE.md file with 14 skill modes. It's not a wrapper around an API — it's Claude Code with custom skills. Key functions include:
- Evaluating job fit across 10 dimensions
- Rewriting your CV per job listing
- Scanning 45+ company career pages (including Anthropic, OpenAI, ElevenLabs, Stripe)
- Preparing STAR interview stories
- Filling application forms
What's in the repository
- 14 skill modes: evaluate, scan, PDF, batch, interview prep, negotiation, and others
- Go terminal dashboard built with Bubble Tea to browse your pipeline
- 45+ companies pre-configured
- ATS-optimized PDF generation via Playwright
- Onboarding wizard where Claude walks you through setup in 5 minutes
- Scoring system focused on quality over quantity (not a spray-and-pray tool)
Important notes
The system is designed to help you apply only where there's a real match. It scores fit so you focus on high-quality applications instead of wasting everyone's time. The developer emphasizes always reviewing before submitting. The project is free, MIT licensed, with no paid tiers.
📖 Read the full source: r/ClaudeAI
👀 See Also
Radicle 1.8.0 Released: Decentralized Peer-to-Peer Code Forge Built on Git
Radicle 1.8.0 ships a sovereign, peer-to-peer code forge on Git with CLI, web UI, and desktop client. Repos replicate across peers using NoiseXK and a custom gossip protocol – no central server.
ai-codex: Pre-index your codebase to save Claude tokens
ai-codex is a tool that generates compact markdown indexes of your codebase, allowing Claude Code to skip the initial exploration phase that typically consumes 30-50K tokens per conversation. It creates five files covering routes, pages, libraries, schemas, and components.
Claude-voice: Local TTS with Word Highlighting for Claude Code
Claude-voice is a Python tool that adds local text-to-speech with real-time word highlighting to Claude Code's voice mode. It uses Kokoro TTS (82M parameters) running fully locally without API keys.
SWE-rebench-V2 Released: Largest Open Multilingual Dataset for Code Agent Training
Nebius has released SWE-rebench-V2, currently the largest open dataset for training coding agents, featuring an automated pipeline for extracting RL environments at scale and designed specifically for large-scale reinforcement learning training.