Version: 1.0.0-public
Last Updated: 2026-02-19
This is a portfolio-safe, public demonstration of a metadata-driven asset pipeline system.
The framework models how a creative production team can:
- Standardize intake and shot planning
- Automate metadata generation
- Eliminate manual entry during asset processing
- Improve downstream searchability and consistency
The framework follows a metadata-first workflow:
Story Planning
→ SKU Mapping
→ Metadata Generation
→ Lightroom Export
→ DAM Upload
→ Ecommerce
- Metadata-first architecture
- Schema governance
- Version control discipline
- Elimination of manual keyword entry
- Production consistency at scale
Manual asset workflows introduce:
- Naming inconsistencies
- Metadata gaps
- Search inefficiencies
- Rework loops
This system replaces ad-hoc production with structured automation. 📘 See full workflow breakdown → Workflow Overview
📘 Full workflow breakdown → Overview
The framework is built around a metadata-first architecture:
- Stories (content batches) are defined
- SKUs are mapped to required shots
- Metadata outputs are auto-generated:
- Filename prefix
- Title
- Description
- Keywords
- Outputs feed into Lightroom → DAM → Ecommerce
docs/— System architecture & workflow documentationschema/— Public schema modeldata/— Example allowed values (generic)scripts/— Sample metadata generation logictemplates/— CSV templates (headers only)
This repository demonstrates:
- Systems thinking
- Workflow automation
- Metadata architecture design
- Creative pipeline optimization
- Governance & version discipline
This repository is part of a broader creative infrastructure initiative focused on:
- Reducing manual metadata entry
- Improving DAM searchability
- Standardizing production naming conventions
- Introducing version-controlled workflow governance
📎 Full case study available in portfolio: View Detailed Case Study →
MIT
