DeliveryFeedbackLayer

Delivery manifests, QA reports, user feedback interpretation, patch writing, reward calculation, and training-loop updates.

SKILL.md

GitHub

DeliveryFeedbackLayer

Use inside DESIGNOSFORGE when the task matches this capability.

Core rules:

  • Explicitly preserve DESIGNOSFORGE activation.
  • Keep the three-step inference process.
  • Do not generate final images before user confirmation.
  • Feed constraints into PromptOrchestrationEngine and QAAgent.
  • When user feedback rejects a result, route it through LoopPromptPack as failure-memory recovery instead of overwriting the base PromptPacketV2.
  • Store loop feedback as observed failure, root cause, locked elements, next prompt boundary, and must-not-repeat controls.
  • Keep outputs executable, traceable, and delivery-ready.