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ai-job-search-os

Xiao-yun-Hu

A measurable conversion-funnel system for AI/Applied AI/Solutions job search.

Open Xiao-yun-Hu/ai-job-search-os → Checked against the four rules.

Works with any agent

ships AGENTS.md, the cross-tool instruction file.

In its own words

AboutXiao-yun-Hu/ai-job-search-os

Built for offer conversion rate, not application volume. Match Function v0 + 5-type memory + scheduled tasks for Claude Code. MIT.

README.md

An AI-powered operating system for improving job-search conversion rates — from job discovery to fit matching, application strategy, funnel tracking, and weekly optimization.

Most job-search tools help candidates find more jobs or generate more resumes.

AI Job Search OS focuses on a different problem:

How do you systematically increase the probability of getting a high-quality offer?

It supports the full job-search loop:

  • Collect job and company data
  • Parse the candidate profile and resume
  • Match candidate × job × company fit
  • Prioritize the best opportunities
  • Generate application and outreach strategy
  • Track funnel progression
  • Learn from outcomes and improve the next round

Job search is not a volume game. It is a conversion optimization problem.

Who Is This For

This system can be used by:

  • Fresh graduates trying to identify realistic entry paths
  • Career switchers trying to reposition themselves
  • Mid-career professionals seeking a better-fit next role
  • Senior candidates who want to avoid wasting time on low-fit opportunities
  • Anyone who wants to treat job search as a measurable funnel instead of random applications

It is especially useful if you are applying across many roles, companies, or regions and need a structured way to decide:

  • Which jobs are worth applying to
  • Which companies are worth direct outreach
  • Which applications are wasting time
  • Where your funnel is breaking
  • What to change next week

The repository's own description, then 20% of its README. Read the rest on GitHub ↗

Read from the repository's git tree on 2026-08-17.