dubery-ugc-prompt-parser

Parse UGC prompt JSON into a defined schema and update pipeline files.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/RASCLAW/DuberyMNL --skill dubery-ugc-prompt-parser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dubery-ugc-prompt-parser
Source: https://github.com/RASCLAW/DuberyMNL/tree/main/.claude/skills/dubery-ugc-prompt-parser
Command: npx skills add https://github.com/RASCLAW/DuberyMNL --skill dubery-ugc-prompt-parser

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill extracts structured metadata from completed UGC prompts to enable storage, search, and traceability. It runs after fidelity checks and before image generation.

Core Features & Use Cases

  • Structured extraction of a UGC prompt into a defined JSON schema.
  • Traceability & storage: output is saved alongside input for pipeline tracking and auditing.
  • Compatibility: reads the .tmp/{id}_ugc_prompt.json, writes .tmp/{id}_ugc_parsed.json, and updates ugc_pipeline.json.

Quick Start

Run the parser on a completed UGC prompt JSON file to generate the parsed output.

Frequently Asked Questions about dubery-ugc-prompt-parser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I parse UGC prompts into structured JSON metadata?

This parser extracts structured metadata from completed UGC prompts, pulling subject, product, authenticity, and color logic fields into a defined JSON schema. It automatically drops any omitted fields during extraction.

When do I need to extract structured data from UGC prompts in my pipeline?

You need structured data extraction from UGC prompts after fidelity checks and before image generation. This step enables storage, search, and traceability by generating standardized metadata for pipeline tracking and auditing.

What file formats does the UGC prompt parser read and write?

The UGC prompt parser reads `.tmp/{id}_ugc_prompt.json` files and writes structured output to `.tmp/{id}_ugc_parsed.json`. It also updates `ugc_pipeline.json` to maintain pipeline traceability.

Does the parser handle UGC prompts with missing fields?

Yes, the parser handles missing fields by dropping any omitted fields from the UGC prompt. It only extracts defined schema fields including subject, product, authenticity, and color logic, preserving available data.

How do I set up traceability for parsed UGC metadata in my pipeline?

To set up traceability for parsed UGC metadata, run the parser to generate output saved alongside input files. It updates `ugc_pipeline.json` automatically, enabling pipeline tracking and auditing across stages.