What problem does it solve?
Misconfigured Connect programs that deviate from the PDD or are unworkable for real field workers cause deployment failures, wasted operational effort, and invalid data collection. This skill solves that by automatically grading Phase 4 Connect setup outputs against PDD specifications and real-world deployability standards to catch issues before launch.
Core Features & Use Cases
- Grades 6 weighted evaluation dimensions (deployability, program fit decision, verification rule fidelity, delivery unit wiring, payment unit fit, active window status) with hard gates that block undeployable configs from passing, even if they are fully PDD-faithful.
- Independently re-derives reuse-vs-create program decisions using live Connect org data to avoid bias from the skill's own self-reported rationale, and flags discrepancies as drift.
- Emits structured verdict YAMLs with severity-tagged auto-surfaced concerns (blockers, warnings, platform limits, informational notes) and handles degraded mode (TBD-MANUAL IDs) gracefully by marking artifacts incomplete rather than penalizing operators.
- Use case: As part of the ACE lifecycle, it automatically evaluates Connect program and opportunity setups after Phase 4 to catch misconfigurations before moving to app screenshot capture and launch, ensuring only faithful, deployable programs proceed.
Quick Start
Use the connect-program-setup-eval skill to grade your current ACE opportunity's Connect program and opportunity configuration against its PDD for fidelity and deployability.