Application Spam Filter
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.
PROMPT
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.
How It Works
Paste the JD and an application (resume + answers). The skill classifies
it as likely-qualified, unclear, or likely-spam/irrelevant with evidence.
What You Get
- Classification with evidence-based reasons
- Missing critical info checklist
- A safe next step (follow-up question, clarification request, or rejection)
Setup Steps
- Paste the job description
- Paste the resume or application answers
- Add location/work authorization requirements if applicable
- Route based on the classification
Tips
- Never infer protected traits — the skill uses job-related evidence only
- The "unclear" bucket is intentionally conservative to reduce false negatives
- Best for high-volume roles where manual review of every app isn't feasible
- Pair with Knockout Question Builder to catch mismatches earlier in the funnel