An automated, multi-agent AI pipeline that handles everything from trend scouting and high-quality deep article writing to visual card design and multi-platform publishing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-fullstack-content-factory
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ai-fullstack-content-factory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is AI Full-Stack Content Factory?
The AI Full-Stack Content Factory is a powerful orchestrated workflow designed to automate the entire lifecycle of content production. By chaining specialized sub-skills together, this skill enables content creators, marketers, and developers to shift from manual brainstorming to high-throughput, automated content pipelines. As one of the advanced Openclaw Skills, it acts as an end-to-end content production line that eliminates the friction of switching between multiple isolated AI tools.
This workflow seamlessly coordinates web-wide trend scanning, long-form article writing, custom graphics rendering, and social media adaptation. Utilizing this orchestrator within your workspace ensures that your multi-channel digital presence remains consistent, visually appealing, and continuously driven by real-time viral topics.
AI Full-Stack Content Factory Use Cases
- Tech bloggers and AI enthusiasts who want to scale their publication speed with high-quality, research-driven content.
- WeChat Official Account operators needing to quickly discover rising trends and draft 3,000+ word deep-dive articles.
- Social media marketers scaling multi-platform campaigns (e.g., WeChat and Xiaohongshu) with consistent cross-posting strategies.
- Digital marketing studios looking to automate graphics creation, cover design, and copy generation in a unified automated workflow.
How AI Full-Stack Content Factory Works
- Trend Scouting: The system invokes Agent-Reach to crawl platforms like Twitter, Reddit, YouTube, and WeChat for trending topics.
- Topic Confirmation: The workflow presents the discovered trends to the user, allowing them to confirm, pivot, or fine-tune the editorial direction.
- Deep Article Generation: The WeChat Official Account Helper orchestrates the production of a structured, high-quality 3,000 to 5,000-word article.
- Visual Cover Design: The nano-banana-pro engine automatically generates relevant high-resolution cover images.
- Styled Card Rendering: Optional styled knowledge cards (e.g., Cyberpunk or Mac Pro aesthetics) are generated using card-renderer.
- Multi-Platform Adaptation & Publishing: The xiaohongshu-mcp formatting tool formats and queues the final visual content for publication on Xiaohongshu.
AI Full-Stack Content Factory Setup
To deploy this pipeline as part of your Openclaw Skills library, configure your workspace settings to orchestrate the involved MCP servers. Ensure you have the necessary environment keys configured for each underlying engine.
# Install and configure the required MCP packages
npm install -g @openclaw/agent-reach xiaohongshu-mcp card-renderer
# Set your API keys and credentials in your environment
export XHS_SESSION_ID="your_xiaohongshu_session"
export AGENT_REACH_API_KEY="your_reach_key"
Once installed, run the execution script or command inside your AI workspace agent to initialize the full content factory workflow.
AI Full-Stack Content Factory Data Schema & Taxonomy
| Artifact / File Type | Specification | Default Output Directory |
|---|---|---|
| WeChat Article Draft | Markdown / HTML (3000-5000 words) | /outputs/articles/ |
| Article Cover Image | 900x383px PNG | /outputs/covers/ |
| Xiaohongshu Visual Cover | 3:4 Aspect Ratio PNG | /outputs/covers/xhs/ |
| Renders / Cards | Styled Knowledge Card (PNG) | /outputs/cards/ |
| Workflow Metadata | JSON configuration containing trends & topics | /configs/workflow_metadata.json |
AI Full-Stack Content Factory Advanced Features
- Multi-Agent Orchestration: Seamlessly coordinates specialized sub-skills, eliminating manual file exchanges between writing, image generation, and publishing tools.
- Trend-to-Draft Automation: Uses semantic search queries to filter real-time social media noise and focus purely on actionable, high-growth tech trends.
- Dynamic Cover Styling: Built-in support for customized image generation styles (e.g., Cyberpunk, Mac Pro) via card-renderer.
- Cross-Platform Auto-Formatting: Converts long-form technical drafts into visually optimized, emoji-rich formats suited specifically for platforms like Xiaohongshu.
SKILL.md
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