batch

To batch evaluate job offers in parallel, this skill spawns dedicated subagents for each pending job URL or text input, producing consistent A–G scored outputs, PDF reports, and synchronized tracker updates. It reads pending items from a batch-state.tsv file to manage the workload.

Subagent orchestration for career ops is the process of spawning isolated subagents to process multiple job descriptions simultaneously. This ensures consistent ATS scoring and report generation across high-volume applications without context overlap or bottlenecks.

You can resume a failed job application evaluation batch because the skill maintains a TSV-based state file. This resumable batch state tracking automatically skips completed items and continues processing from the exact point of failure on your next run.

Yes, you can generate PDF reports and update your applications tracker automatically. The skill writes per-job logs, creates PDFs, and merges the new tracker additions directly into your central applications.md file for consolidated review.

Yes, workflow automation for resume ops supports both serial and parallel processing. The skill spawns subagents serially or switches to parallel processing after a specified threshold, optimizing high-volume job offer evaluation workflows.

The best way to maintain an auditable record of job offer scoring is using a batch evaluation system that logs per-job results and merges tracker additions into a central applications.md file, ensuring you know what succeeded, what failed, and where each result lives.