Turn resumes into a comparison grid in minutes
Extracts role-relevant skills and evidence from candidate materials and builds a matrix that makes tradeoffs explicit rather than subjective.
Create a skill called "Skills Matrix Extractor". Inputs: - Job description - 5–20 resumes (or candidate summaries) Output: 1) A skills matrix table (candidates x criteria) 2) Evidence snippets per cell (short, factual) 3) Confidence rating per criterion (high/med/low) 4) Differentiators (top 3 for each candidate) 5) Recommended interview focus for each candidate Keep output optimized for copy/paste into docs.
Paste the JD and a batch of resumes. The skill builds a side-by-side
comparison grid with evidence and confidence ratings.
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.
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.
Wikipedia-grade AI pattern removal
Comprehensive AI writing cleanup based on Wikipedia's WikiProject AI Cleanup guidelines. Catches 24+ distinct patterns including inflated symbolism, em dash overuse, rule of three, copula avoidance, and sycophantic tone.
Make invisible labor visible and ownable
Convert the invisible cognitive labor of being the "default parent" into a shared, ownable task system with clear accountability. One owner per domain — sees it, plans it, does it, confirms it.