What problem does it solve? Teams applying to Base Batches often pick the wrong track or submit without understanding what selectors weight, leading to avoidable rejections. This Skill researches past cohorts, scores your team against each track's eligibility rubric, and identifies gaps before you apply. ## Core Features & Use Cases - Track-Fit Scoring: Scores your team against Startup, Student, and Robotics tracks using a detailed rubric with hard disqualifier checks (e.g., funding over ~$250k disqualifies Startup). - Cohort Research: Reads program facts and past-winner patterns from the Base Batches dataset, and warns when the current cohort has not been announced so you verify dates at basebatches.xyz. - Gap Analysis Memo: Writes a structured research memo to .basestack/base-batches-research.md with comparable past projects and ranked gaps, ready for the submission skill to consume. - Use Case: A team of two undergrads with a working prototype asks which track to apply to; the Skill interviews them, scores both Student and Startup tracks, flags that Student is the stronger fit, and lists what to fix before applying. ## Quick Start Ask the assistant to run the Base Batches copilot to figure out which track your team should apply to.
