A comprehensive social media operation system for automated content harvesting, AI-driven redesign, and multi-platform publishing management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install content-ops
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 content-ops 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 Content Ops Automation System?
The Content Ops skill is a sophisticated framework designed to automate the lifecycle of social media management within the Openclaw Skills ecosystem. Built with a Node.js backend and a SQLite database managed via Drizzle ORM, it provides a robust infrastructure for handling content operations at scale. It allows developers and marketers to crawl high-performing content from sources like Xiaohongshu and repurpose it for platforms such as Reddit, Discord, and Pinterest using integrated AI workflows.
By leveraging Model Context Protocol (MCP) services, this skill enables secure, headless browser automation for data extraction and publishing. It bridges the gap between raw data collection and strategic content distribution, offering a centralized hub for managing multiple accounts, tracking engagement metrics, and maintaining a high-quality content corpus through a structured human-in-the-loop approval process.
Content Ops Automation System Use Cases
- Automated discovery of trending topics and high-engagement posts on Xiaohongshu.
- Cross-platform content syndication with AI-powered voice adaptation for Reddit communities.
- Centralized tracking of follower growth and engagement rates across multiple social accounts.
- Management of a curated content library for consistent brand messaging and scheduled publishing.
How Content Ops Automation System Works
- Initialize the environment by installing Node.js dependencies and running SQLite migrations through Openclaw Skills scripts.
- Deploy and authenticate MCP services to handle platform-specific API interactions and headless logins.
- Configure source and target accounts to define where content is harvested and where it will be published.
- Create and execute crawl tasks based on specific keywords to gather raw material and interaction data.
- Review and approve harvested content to move it from raw results into the usable content corpus.
- Generate AI-redesigned content for specific target platforms and schedule automated publishing tasks.
- Monitor success through daily metric synchronization and generated performance reports.
Content Ops Automation System Setup
First, navigate to the skill directory and install the necessary environment:
cd ~/.openclaw/workspace/skills/content-ops
npm install
npx drizzle-kit generate
npx drizzle-kit migrate
To enable Xiaohongshu integration, deploy the MCP binary:
cd ~/.openclaw/workspace/bin
wget https://github.com/xpzouying/xiaohongshu-mcp/releases/download/v2026.02.28.1720-8a7fe21/xiaohongshu-mcp-linux-amd64.tar.gz
tar -xzf xiaohongshu-mcp-linux-amd64.tar.gz
./xiaohongshu-login
screen -dmS xhs-mcp ./xiaohongshu-mcp -headless=true
Content Ops Automation System Data Schema & Taxonomy
The skill manages data using a structured SQLite schema to ensure consistency across the Openclaw Skills workflow:
| Table Name | Purpose | Core Metadata |
|---|---|---|
| target_accounts | Destination platforms | platform, api_config, positioning |
| source_accounts | Content sources | login_status, daily_quota |
| crawl_tasks | Harvesting instructions | status, query_list, target_count |
| crawl_results | Gathered data points | source_url, quality_score, content |
| publish_tasks | Output pipeline | status, content, scheduled_at |
| publish_metrics | Engagement data | metric_date, reddit_score, followers |
All files, including the database and raw corpus, are stored in the ~/.openclaw/workspace/content-ops-workspace/ directory.
Content Ops Automation System Advanced Features
- Multi-agent collaboration support for separating crawling, curation, and publishing duties.
- Human-in-the-loop (HITL) manual detail import for bypassing complex anti-scraping mechanisms.
- Automated AI content redesign scripts that tailor posts for specific subreddit styles or platform cultures.
- Integrated SQLite-based dashboard queries for real-time monitoring of account trends and content performance.
- Seamless MCP service integration providing headless browser capabilities for authenticated platform actions.
SKILL.md
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