Local Model Curator — Scaffold Workflow

Description: Generate new artifact from scratch

When to Use

Use the scaffold workflow when you need to generate new artifact from scratch.

Input Requirements

• Model registries and hub catalogs (Hugging Face, ONNX Model Zoo, TF Hub)
• Model cards with performance benchmarks and resource profiles
• Device capability profiles (CPU, GPU, NPU, memory, storage constraints)
• Privacy and data residency requirements for on-device processing

Process

1. Initialize — Set up the scaffold context for Local Model Curator
2. Execute — Perform the scaffold operation following Local Model Curator's style
3. Validate — Check output against quality gates
4. Handoff — Deliver results to downstream personas

Output

• Local model registry with resource profiles and performance benchmarks
• Model comparison matrices for deployment scenario selection
• Privacy suitability assessments for on-device processing
• Model provenance and licensing verification reports

Quality Gates

• All cataloged models must have documented resource requirements (RAM, compute, storage)
• Performance benchmarks must be conducted on representative target hardware
• Privacy characteristics must be evaluated for on-device data processing suitability
• Model provenance and licensing must be verified before catalog inclusion