Career Ops workflow principles
Project screenshotsAbout this Skill
Attach a factual employer sponsorship signal from configured data to US-role evaluations. CareerOps combines its main job-search router with plugin workflows for Apify sources, Gmail leads, sponsorship data and Notion. The plugin instructions use the same workspace and are not standalone agent installations. The template and demonstration files are excluded from the task count.
Why we picked it
Useful for keeping a focused job search organized around your own evidence and profile. Treat generated CVs and messages as drafts, and keep the final application decisions in your hands.
What it helps with
- Attach a factual employer sponsorship signal from configured data to US-role evaluations.
Setup and use
The official initializer creates a career-ops workspace and installs dependencies. Open your AI CLI inside that directory, then follow profile setup. Review generated material and submit applications yourself.
| Command | What it helps with |
|---|---|
npx @santifer/career-ops init | Get the upstream package or workspace using the documented setup route. |
Upstream README and setupTask entrypoint and supporting files
Before you use it
- Node.js and a supported AI CLI, plus your own CV and profile. PDF generation needs Playwright Chromium; optional data plugins require their corresponding accounts or local datasets.
- Use a configured local sponsorship index or endpoint. This adds a data signal to US-role evaluation and requires the plugin’s separate dataset setup.
Supported agents
Sources & references
Original sources are linked below. Practical starting points are editorial suggestions from SkillHey.
