santifer/career-ops
DirSkills catalogs 7 skills from this repository, across 2 categories: Automation, Data.
πΌ
2026/08/13
Career Ops
Career Ops is a multi-CLI job-search command center that evaluates offers, generates ATS-optimized CVs and PDFs, scans job portals, tracks applications, and prepares interview and outreach materials. Use it when a user pastes a job URL or description, asks to scan portals, generate documents, track applications, prepare for interviews, or draft outreach emails.
Automation
63.7K12.6K
πΌ
2026/08/13
Career Ops
Career Ops automates job application workflows, including resume tailoring for ATS and interview preparation, so users can apply to roles faster.
Automation
63.7K12.6K
πΈοΈ
2026/08/13
Career Ops Apify
Career Ops Apify runs an Apify actor for a portals.yml entry that sets provider: apify and maps the actor's dataset items into the job scanner. Use it to ingest job listings from Apify actors without writing a custom scraper.
Automation
63.7K12.6K
π
2026/08/13
Career Ops Notion Plugin
Career Ops Notion Plugin mirrors your application tracker to a Notion database and reads records back as job leads. Use it to keep Notion as an additive mirror of your local career-ops data.
Automation
63.7K12.6K
π
2026/08/13
Career Ops Plugin
Career Ops Plugin teaches an AI agent how to run a career-ops plugin and interpret the job data it produces. Use it when integrating job search or resume automation into an agent workflow.
Automation
63.7K12.6K
π₯
2026/08/13
Gmail Job Leads
Gmail Job Leads reads a Gmail label and extracts clean job URLs from authentic DMARC-passing emails, returning them as leads for the career-ops pipeline. Use it to automatically ingest job postings from your inbox into a job-search pipeline.
Automation
63.7K12.6K
π
2026/08/13
Upskill
Upskill aggregates skill gaps from tracked job-application evaluation reports, ranks them by weighted score, and optionally produces a web-searched learning plan with free resources. Use it to turn low-scoring reports into a prioritized list of what to learn next.
Data
63.7K12.6K