What problem does it solve? Engineering leaders lack grounded guidance when deciding how to structure, size, staff, fund, and govern platform engineering teams — especially as AI agents change who the platform serves. This Skill provides benchmark-grounded org design advice covering reporting lines, budgets, role coverage, and AI-era operating models. ## Core Features & Use Cases - Benchmark-grounded org scans: Compares your reporting line, budget band, team size, adoption model, and AI ownership against 2025 industry survey distributions. - Seven-role staffing model: Maps the canonical platform roles (HOPE, PPM, IPE, DPE, SPE, OPE, AI platform engineer) to concrete triggers for when each becomes a dedicated hire. - Autonomy-level progression design: Aligns team shape with agent autonomy levels L0–L4, including review structures, dispatch ownership, and an evidence-based trust ladder for agents. - Use Case: A VP of Engineering with 200 developers asks whether to create a dedicated platform team and who it should report to; the Skill runs an org scan, cross-checks maturity, and delivers a target org sketch with two costed alternatives. ## Quick Start Use the platform-org-design-advisor skill to assess our platform team structure and recommend a target org design with staffing sequence.