What problem does it solve? AI pilot projects often stall in "pilot purgatory" — orphan chatbots and demos with no owner, no baseline, and no measurable economic outcome. This Skill enforces a gate that blocks such pilots before they consume engineering time. ## Core Features & Use Cases - Completion-Loop Enforcement: Requires every workflow to define Trigger, Context, Decision, Action, Verification, and Audit stages before any UI is built. - Economic Gating: Blocks pilots lacking an owner, baseline value, economic metric, and system-of-record integration, and rejects interest or usage stats as ROI claims. - Deterministic Gate Script: Runs scripts/workflow_economics_gate.py --json to produce a machine-readable verdict on whether a workflow is production-ready. - Use Case: Before approving a new AI release-ops assistant, run the gate to confirm it has a named owner, a measured baseline cycle time, an automation-rate metric, and an audit trail in the system of record. ## Quick Start Ask the AI to evaluate your proposed AI workflow against the workflow economics gate and report which completion-loop stages or economic metrics are missing.