What problem does it solve? Job application campaigns sometimes skip postings for the wrong reasons, such as location assumptions, sparse job descriptions, 1099 status, or seniority mismatches. This Skill recovers those wrongly-dropped jobs by re-scoring them against the campaign threshold and promoting eligible ones back to approved status. ## Core Features & Use Cases - Targeted Re-scoring: Re-evaluates every skipped job in a campaign, or a specific subset via job keys, using a fresh score-fit API call rather than the stored score. - Digest Rebuilding: Re-reads thin or invalid job postings in the browser and rebuilds the digest before scoring, so decisions rest on complete information. - Eligibility Rules: Applies strict eligibility criteria where only JD-stated citizenship, clearance, or no-sponsorship requirements disqualify a job. - Use Case: After an auto-apply campaign skips 228 jobs, run this Skill to re-score them all, promote the 19 that actually meet the threshold, and then apply to them through the apply skill. ## Quick Start Rescan the skipped jobs in campaign abc123 and promote any that meet the minimum match score.
