Batch-evaluate job offers with parallel claude -p workers and A-G reports.
npx skills add https://github.com/khetansarvesh/ai_skills_repo --skill job-eval
Please help me install this Agent Skill. Skill: job-eval Source: https://github.com/khetansarvesh/ai_skills_repo/tree/main/skills/job-eval Command: npx skills add https://github.com/khetansarvesh/ai_skills_repo --skill job-eval
This Skill solves the problem of manually evaluating many job offers one by one, which is slow and hard to resume when interrupted.
Run job-eval in parallel by executing: bash skills/job-eval/batch-runner.sh --from-notion --parallel 4.
High-intent search queries and answers about installing and using this skill.
To batch-evaluate job offers in parallel, you can run a bash script that spawns multiple claude -p workers to process 10-100+ roles simultaneously, generating A-G reports. This requires a Notion-backed input source to supply the job offers.
Yes, you can resume a batch job evaluation pipeline after crashes or Ctrl+C because the system uses a persistent batch-state.tsv file. This tracks evaluation progress, allowing the pipeline to skip completed offers and retry failed ones without starting over.
Yes, the job evaluation pipeline supports pre-disqualification filters that check for non-US locations and security clearance constraints before full evaluation. Disqualified roles are marked with a score of 0, saving processing effort by avoiding the full A-G report generation.
To prevent concurrent batch runs when evaluating job offers, the pipeline uses a lock file mechanism. This ensures only one batch evaluation process runs at a time, avoiding duplicate worker executions and preventing data corruption in your Notion tracker updates.
The best way to evaluate job offers from a Notion tracker is using a parallel batch processing script that reads from your Notion input source. It runs multiple worker instances concurrently to generate evaluation reports and automatically update your Notion tracker with the results.
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