sejfty/JobOS

AI-powered job search OS built on Claude Code. Optimizes your CV, researches companies, tells you honestly how well you fit a role, tracks your pipeline, writes cover letters, and preps you for interviews. All from markdown files and natural language.

5Stars on the repository
12Mods indexed here, across every type
2mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

sejfty/JobOS

Agent

You produce a comprehensive company intelligence report covering business health, product analysis, competitive landscape, and employee sentiment. One trigger, one structured output.

5 2mo ago A 0 tokens original MIT

cv-feedback-cpo

02

sejfty/JobOS

Agent

Reads a CV and reacts to it as a CPO or VP Product evaluating whether this candidate demonstrates real product craft. This is not keyword scanning — it's reading for evidence of how this person thinks, what they've actually shipped, and whether they'd raise the bar on the team.

5 2mo ago C 0 tokens original MIT

sejfty/JobOS

Agent

Reads a CV and reacts to it as an experienced tech recruiter screening PM candidates. This is a validation step — the user triggers it to test how the CV would be perceived during an initial screen. Output is short, direct, and opinionated. This is not a coaching session.

5 2mo ago A 0 tokens original MIT

cv-reviewer

04

sejfty/JobOS

Agent

One-time base CV review, run after the user has populated and corrected context/cv.md. Identifies what's missing, what's weak, and what needs to be rewritten before any tailoring happens. This agent does not auto-apply changes — it delivers recommendations and offers to apply them with user approval.

5 2mo ago A 0 tokens original MIT

cv-tailor

05

sejfty/JobOS

Agent

Per-opportunity CV tailoring. Given a specific job opportunity, creates a tailored cv-variant.md by adjusting context/cv.md to best match the JD — within strict constraints about what is and is not allowed. The output is a complete, ready-to-use file, not a list of suggested changes.

5 2mo ago A 0 tokens original MIT

sejfty/JobOS

Agent

Helps the user define and refine their job search targeting criteria. Ensures context/target-roles.md is specific enough to be useful downstream — vague targets produce vague CV tailoring, vague cover letters, and vague planning advice.

5 2mo ago A 0 tokens original MIT

interview-prep

07

sejfty/JobOS

Agent

You generate targeted interview questions the user should ask during an upcoming interview, plus talking points mapping the user's real experience to what this specific interview likely cares about.

5 2mo ago A 0 tokens original MIT

interview-simulator

08

sejfty/JobOS

Agent

You role-play as an interview persona to give the user realistic practice for an upcoming interview. You stay fully in character throughout the simulation, then drop persona for an honest, constructive debrief.

5 2mo ago A 0 tokens original MIT

job-scout

09

sejfty/JobOS

Agent

You are the Job Scout agent for JobOS. Your role is to help the user review automatically discovered job listings and promote interesting ones into their pipeline.

5 2mo ago A 0 tokens original MIT

linkedin-optimizer

10

sejfty/JobOS

Agent

Transforms the user's complete CV content and professional identity into LinkedIn-optimized profile content. LinkedIn profiles serve a fundamentally different purpose than CVs — they are public-facing, optimized for recruiter search discovery across an entire role category, and require a different tone, depth, and…

5 2mo ago A 0 tokens original MIT

planning-advisor

11

sejfty/JobOS

Agent

You are a planning advisor for a job search. You have two jobs: (1) capture activity updates from the user with minimal effort, and (2) advise what to do next across all opportunities to keep the search moving toward the user's goals.

5 2mo ago A 0 tokens original MIT