Javis OS
Javis OS는 기업가를 돕는 에이전시 AI로, 업무를 지원하고 함께 성장합니다
아직 감지된 업데이트가 없습니다. GitHub 릴리스가 나오면 여기에 보입니다.
개인 계정의 공개 저장소 소유자는 GitHub로 로그인해 운영자를 확인하고 소개를 직접 관리할 수 있습니다. 관리자 승인은 필요하지 않습니다.
로그인한 뒤 확인 파일을 만들어 이 저장소의 기본 브랜치에 30분 안에 커밋해 주세요. 다른 브랜치나 포크의 파일은 인정하지 않습니다. 파일을 올린 뒤 아래에서 확인하면 관리자 승인 없이 관리할 수 있습니다. 자격을 유지하려면 파일을 남겨 두세요.
로그인이 필요하면 로그인 화면으로 이동합니다. 로그인 후 이곳으로 돌아와 원하는 확인 버튼을 다시 눌러 주세요.
프로젝트 폴더에서 /nomorevibe verify를 실행하면 소유권을 확인하고 소개를 직접 관리할 수 있습니다.
1분 만에 확인하기Mirror of which skills are the companies hiring for in the Age of AI
저장소 README에서 가져옴
README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
True_Yodha is the codebase behind a career-intelligence product (Myro; earlier iterations used the name "Mirror") that helps job seekers understand what skills companies are hiring for in the age of AI.
At a high level it:
1. Ingests a user's CV.
2. Extracts skills against a large skills taxonomy.
3. Finds job matches via skill overlap and ranking.
4. Computes a score and breakdowns that make the gaps actionable.
This repository exists because the hiring market changes fast, and "what to learn next" is only useful if it is grounded in real job demand and a consistent skill taxonomy.README 전문 보기 ↗True_Yodha is the codebase behind a career-intelligence product (Myro; earlier iterations used the name "Mirror") that helps job seekers understand what skills companies are hiring for in the age of AI.
At a high level it:
This repository exists because the hiring market changes fast, and "what to learn next" is only useful if it is grounded in real job demand and a consistent skill taxonomy.
This is a monorepo:
backend/: FastAPI API (Supabase/Postgres for storage, background worker for compute)frontend/: Next.js 14 web app (Tailwind + shadcn/ui)database/: schema and migration scripts for Supabasedocs/: architecture, scoring algorithm notes, deployment guidelightcast_skills_taxonomy.json, lightcast_skills_flat.csv: skills taxonomy artifacts used by the system# backend/.venv = backend/Dockerfile's Python + requirements.txt only (CONTRIBUTING.md)
# create backend/.env (do not commit) with Supabase keys + LLM config + REDIS_URL
cd backend && .venv/bin/uvicorn app.main:app --reload
cd backend
# requires REDIS_URL in backend/.env
.venv/bin/python -m app.workers.jobs_compute_worker
cd frontend
npm install
# create frontend/.env.local (do not commit) with NEXT_PUBLIC_API_URL
npm run dev
This repo is primarily designed to be run as a web app (local or deployed).
For deeper detail, start here:
docs/TECH_STACK.mddocs/SCORING_ALGORITHM.mddocs/DEPLOYMENT_GUIDE.mdPopulate secrets only through local ignored env files or the deployment
provider's secret store. Never put a service-role key, JWT signing secret,
OAuth client secret, payment secret, database URL, or third-party API key in
frontend code, documentation, comments, logs, or API responses. Any variable
whose name starts with NEXT_PUBLIC_ is browser-visible; use that prefix only
for public values, including the Supabase anon key only while RLS is enabled on
every exposed table and storage object.
Git history warning: if a secret was ever hardcoded, deleting it from the working tree does not remove it from git history. Rotate any previously hardcoded secrets immediately, then provision the replacement through the deployment provider's secret manager.
Contributions are welcome. Please read CONTRIBUTING.md for:
MIT. See LICENSE.