Catch low-intent and irrelevant applications early
Detects patterns consistent with low-intent, irrelevant, or mass-generated applications and routes them appropriately. Reduces recruiter workload without increasing false negatives.
Create a skill called "Application Spam Filter". Inputs: - Job description - Resume/CV text (or application answers) - Optional: location/work authorization requirements Output: 1) Classification: likely-qualified / unclear / likely-spam-or-irrelevant 2) Reasons (evidence-based, not vibes) 3) Missing critical info checklist (what we need to decide) 4) Safe next step: - ask knockout follow-up - request clarification - reject with template Guardrails: - Do not infer protected traits. - Prefer job-related evidence only.
Paste the JD and an application (resume + answers). The skill classifies
it as likely-qualified, unclear, or likely-spam/irrelevant with evidence.
Sort the pile fast without losing signal
Scores and ranks resumes against job requirements with consistent criteria. Highlights strongest evidence, flags mismatches, and gives you a clear advance/reject call.
Reduce unqualified volume without harming candidate experience
Creates short, job-related knockout questions with clear pass/fail rules, candidate-friendly wording, and defensible rationale.
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