What problem does it solve? Product work often stalls between raw inputs (user feedback, research data, cloud docs, screenshots, old plans) and actionable deliverables. This Skill turns those inputs into grounded product judgments, strategies, MVPs, priorities, roadmaps, PRDs, user stories, acceptance criteria, and solution reviews, while strictly separating facts, inferences, decisions, and unverified assumptions. ## Core Features & Use Cases - Evidence-based product judgment: Reads real content from links, attachments, tables, and screenshots before deciding, and distinguishes facts from inferences, decisions, and hypotheses. - Full deliverable range: Produces decision briefs, solution reviews, engineering-ready PRDs, outcome-driven roadmaps, prioritization (RICE/ICE/weighted), metrics and experiment plans, and launch retrospectives. - Deterministic helper scripts: Includes Python scripts to recompute two-proportion experiment sample sizes and RICE/ICE/weighted priority scores without inventing default parameters. - Use Case: You paste user feedback, a competitor screenshot, and an old PRD, then ask for a scoped MVP with acceptance criteria; the Skill reads the actual materials, makes explicit trade-offs, and delivers a review-ready PRD. ## Quick Start Ask the product manager skill to review the attached user feedback and old PRD, then produce a scoped MVP proposal with acceptance criteria and a roadmap.
