auto-apply

Automated job application requires a pipeline that discovers jobs, pre-screens for sponsorship blockers, and submits forms across multiple job boards. This Skill orchestrates that end-to-end workflow, enforcing safety caps and tracking statuses in a centralized database.

Automated job form filling requires a running Chrome instance with remote debugging, the agent-browser CLI, an initialized jobs.db, a form profile, and environment credentials. These enable the pipeline to interact with web interfaces, enforce application caps, and track submission statuses.

Yes, running job application automation on a scheduled cron cadence is supported for unattended execution. The pipeline sends stepwise progress updates via Discord or sessions_send while discovering, scoring, and applying to jobs automatically within enforced rate limits.

Automated sponsorship pre-screening evaluates discovered positions to identify sponsorship blockers before submission. The pipeline rescores and filters these roles, ensuring automated applications target jobs matching your sponsorship requirements and avoiding wasted submissions.

Yes, the pipeline enforces LinkedIn Easy Apply caps to handle rate limits and errors safely. It manages submission pacing and updates a centralized jobs.db to track application statuses, preventing account flagging during mass automated job submission across multiple job boards.