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tannyakin/naija-job-ops

Domain:

socioeconomic

Record type:

software
Creator:
tan
Host:
AI-powered job search pipeline for Nigerian graduates and NYSC corps members, built on Claude Code. Scan portals, evaluate listings, build ATS-ready CVs, and track applications. Adapted from career-ops by santifer. # Naija Job Ops AI-powered job search pipeline for Nigerian graduates and NYSC corps members, built on Claude Code. --- ## Built on career-ops This project is a full adaptation of **career-ops**, an open-source AI job search system created by **Santiago Ferreira (santifer)**. The core architecture, Claude Code skill modes, markdown data layer, PDF generation, batch processing, pipeline integrity, and Go dashboard all originate from his work. Naija Job Ops would not exist without it. > **Original work by Santiago Ferreira** > career-ops : AI-powered job search system built on Claude Code. Built by someone who used it to evaluate 740+ job offers, generate 100+ tailored CVs, and land a Head of Applied AI role. > > github.com · santifer.io · Read the original case study Naija Job Ops adapts the full architecture for the Nigerian job market — Nigerian portals, NYSC and graduate trainee context, local company research, ATS CV building, and a skill-first onboarding path. If you find this useful, consider starring the original repo too. --- ## What is this Naija Job Ops turns Claude Code into a full job search command center built for Nigeria. Instead of manually checking job boards and tracking everything in a spreadsheet, you get an AI pipeline that: | Feature | Description | |---|---| | **Auto-pipeline** | Paste a URL, job description, or just a role, it auto-detects and runs the full pipeline | | **Smart scanning** | Scans 6 Nigerian job boards and specialised programme searches for new listings | | **8-dimension scoring** | Every listing scored against skill match, eligibility, deadline urgency, competition, location fit, and more | | **CV tools** | Build, edit, and tailor ATS-compatible CVs , from scratch, from a file, or from LinkedIn | | **Rich metadata** | Extracts posted date, applicant count, deadline, salary range, and qualification requirements | | **Batch processing** | Evaluate 10+ listings in parallel with sub-agents | | * …

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