{"slug":"mohitagw15856-cohort-curve-model","source_name":"mohitagw15856/cohort-curve-model","name":"Mohitagw15856/Cohort Curve Model","description":"Fit a retention curve to observed cohort data and project LTV — computed, not estimated. Use when someone has real cohort retention numbers (month 0, 1, 2…) and asks what lifetime value, lifetime periods, or long-run retention they imply, or whether retention is flattening or leaking. Produces a fitted power curve (parameters, R², retention floor), a 24-36 period projection, and a real .xlsx with live formulas where editing ARPU recalculates LTV — via the bundled zero-dependency script.","version":1,"lift":{"pass_rate_delta_pts":27.27,"pass_rate_pct":54.5,"total_cases":22,"passed_cases":12,"tokens_delta_pct":17.1,"turns_delta_pct":0,"verdict":"mixed","benchmark_model":"gemini-3.6-flash","grading_method":"judged","completed_at":"2026-08-14T03:43:04.948632+00:00"},"skill_score":0.5455,"benchmark_models":[{"model":"gemini-3.6-flash","headline":true,"delta_pts":27.27,"with_pass_pct":54.5,"without_pass_pct":27.3,"tokens_delta_pct":17.1,"turns_delta_pct":0,"total_cases":22,"cases_aggregated":22,"verdict":"mixed","never_hurt":false,"completed_at":"2026-08-14T03:43:04.948632+00:00","run_id":"9f3baf92-8063-44f4-bde2-16ebfc6987aa","version_number":1,"is_latest_version":true,"gate":null}],"trust":{"skill_safety":"passed","safety_status":"clean","intent_verdict":"safe","content_status":"clean","indexable":true},"license":"MIT","install_count":0,"manifest_hash":"521989b8ebda375fe943afeac83bd8ef6961e1eef120b4b9e40e8f045e0b0671","raw_url":"https://app.decimal.ai/s/mohitagw15856-cohort-curve-model/SKILL.md","scorecard_url":"https://app.decimal.ai/skills/mohitagw15856-cohort-curve-model"}