Content Automation Workflow

An OpenClaw master skill for building and running content creation automation pipelines.

What this repository contains

This repository currently focuses on one master skill:

• skills/content-automation-workflow/

It is designed as a controller layer for content systems, not just a single writing prompt.

Core idea

The skill organizes content automation into five layers:

1. Input
   • collect raw material from links, articles, notes, audio, video, docs, or prior context
2. Processing
   • summarize, extract key points, identify audience and angles
3. Production
   • generate long-form articles, short posts, slides, images, or other assets
4. Distribution
   • prepare channel-specific drafts or publishing outputs
5. Deposition
   • store reusable knowledge, summaries, and generated assets for later reuse

What it is good for

• building a content factory
• designing a repeatable publishing workflow
• turning one source into multiple content outputs
• coordinating article, social, slide, image, and deposition tasks
• serving as the orchestration layer above more specific content skills

Repository structure

README.md
skills/
  content-automation-workflow/
    SKILL.md
    README.md
    VERSION.md
    examples/
    references/

Included references

• workflow templates
• MVP routes
• output contracts
• deposition schema
• channel recipes
• example mapping for an AI news briefing workflow

Example use cases

• build a WeChat-centered content pipeline
• create a one-source-many-outputs workflow
• automate AI news briefings
• design a content production MVP before scaling into a larger system

Notes

This repository is intended to be a clean standalone package for the master workflow skill. Specific vertical content skills can live in separate repositories and plug into this controller layer.