What problem does it solve? Organizations often lack an objective, evidence-based picture of how they actually build and operate software before investing in platform engineering or an Agentic Developer Portal. This Skill replaces assumption-driven assessments with a privacy-bounded discovery process that triangulates behavioral, derived, and attested evidence across systems of record. ## Core Features & Use Cases - Multi-source evidence discovery: Collect signals from email/chat, meetings, work items, repositories, CI/CD, cloud infrastructure, telemetry, and developer sentiment using read-only connectors. - Three separate maturity readings: Produce platform-engineering maturity inputs, agentic software-delivery (ASDLC) path evidence, and seven ADP readiness gates without collapsing them into one misleading average. - Privacy and governance boundary: Enforce a discovery charter, data minimization, redaction, aggregation, and retention rules so discovery never becomes individual surveillance. - Use Case: A platform team planning an Internal Developer Portal investment runs a 90-day discovery across two value streams, producing an evidence catalog, contradiction register, confidence-scored signal matrix, and a phased roadmap tied to measurable gaps. ## Quick Start Use the platform-maturity-discovery skill to assess our organization's platform engineering maturity and ADP readiness across the payments value stream.
