What problem does it solve? Partner application backlogs grow faster than anyone can review them, and high-value applicants who never booked a call quietly rot in the queue. This Skill ranks the APPLICATION-stage backlog by the value each applicant would actually add and surfaces a short, prioritized chase-list. ## Core Features & Use Cases - Deterministic ranking: A Python script scores every applicant on net-new geography, languages, scope, and skills versus the current VALIDATED partner baseline, plus a proof-of-real-Twenty-work signal detected in application notes. - LLM judgment pass: After scoring, the operator reads the top applicants' notes to rescue motivated-but-unobvious candidates, demote spam, and sanity-check inflated scores. - Tiered chase-list output: Produces a digest grouped by tier (A/B/C) with contact handles, so the team knows exactly who to reach out to first. - Use Case: Run the weekly partner application review: execute rank.py against the live partners workspace, review the top 15 notes, and hand the partnerships team a five-name Tier A chase-list with emails and LinkedIn links. ## Quick Start Ask the assistant to run the partner application triage and show which high-value applicants have not booked a call yet.