dubery-content-pipeline

Generate captions and image prompts from .tmp/pipeline.json with status updates.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the end-to-end generation of marketing content by producing captions and corresponding image prompts, reducing manual review and speeding up creative pipelines.

Core Features & Use Cases

  • End-to-end content creation: generate captions and prompts in one flow for campaigns.
  • Parallel execution: run caption generation and prompt writing in parallel to accelerate timelines.
  • Preview & handoff: outputs ready for POD or ad tooling, ready to test in Gemini or downstream models.

Quick Start

Run the content pipeline to generate captions and prompts for your current campaign.

Frequently Asked Questions about dubery-content-pipeline

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

FAQPage Schema
How do I automate content generation for marketing campaigns?

Automated content generation pipelines produce both captions and image prompts in a single end-to-end flow. This approach handles batch generations and multiple product lines simultaneously, reducing manual review and accelerating marketing campaign timelines.

Can I generate captions and image prompts in parallel?

Yes, you can generate captions and image prompts in parallel. Running these tasks concurrently accelerates your content generation timeline by executing caption generation and prompt writing at the same time.

Do I need specific skills to run the content pipeline?

Yes, you need the dubery-caption-gen and dubery-prompt-writer skills to run the content pipeline. The pipeline orchestrates these two specific skills to execute the end-to-end generation process.

What is the best way to handle batch generation for product launches?

The best way to handle batch generation is using an automated pipeline that reads from a JSON configuration file. It processes multiple lines in parallel and writes the generated outputs with status updates to a temporary directory.

Does the generated content output work with downstream ad tooling?

Yes, the generated content outputs are ready for handoff to POD or ad tooling. The captions and image prompts are prepared for immediate testing in Gemini or other downstream models.

Why does the content pipeline require a JSON configuration file?

The content pipeline requires a JSON configuration file to read your campaign parameters and input data. It uses this file to orchestrate the batch generation process and writes the final outputs with status updates to a temporary directory.