An autonomous AI agent skill for fetching, screening, and publishing news content across multiple platforms via local API integration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-contents
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 auto-contents 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 MakeContents?
MakeContents is a locally running RSS aggregation and content creation power-tool designed for the Openclaw Skills ecosystem. It empowers AI agents to autonomously manage the entire lifecycle of information processing, from pulling the latest updates from RSS/RSSHub sources to generating high-quality social media content.
By leveraging localized APIs, the skill allows agents to filter valuable AI news, generate stylistic summaries, and even render visual assets for platforms like Little Red Book (Xiaohongshu). It bridges the gap between raw data and distributed content, ensuring that your feeds remain active and your knowledge bases stay updated with minimal manual effort.
MakeContents Use Cases
- Automated daily curation of AI news from global RSS sources.
- Generating engaging Xiaohongshu posts with AI-rendered covers and detail images.
- Syncing curated news digests to team communication channels like Lark and WeChat.
- Archiving structured content into Lark Bitable for human review and long-term storage.
How MakeContents Works
- The agent begins by loading content selection patterns from a local rules documentation to ensure curation alignment.
- It triggers a fetch command to pull the latest entries from pre-configured RSS and RSSHub sources.
- The agent analyzes the fetched data against established patterns to identify the most valuable news, topics, or tools.
- For selected items, the agent generates optimized titles and summaries before pushing them to messaging platforms or the content rendering engine.
- Visual assets are rendered locally, and the resulting content is published as private drafts or archived in multi-dimensional tables.
- A final notification is sent to the user via a Lark bot to confirm task completion and provide links for review.
MakeContents Setup
To integrate this skill into your Openclaw Skills workflow, follow these steps:
- Ensure the MakeContents service is running locally at
http://localhost:3710. - Configure your API keys for Lark, WeChat, and Little Red Book within the application's configuration page or
.envfile. - Verify the service health status using the following command:
curl -s http://localhost:3710/api/health
- Ensure your environment allows the agent to execute
curlcommands, as this skill requires direct local API interaction rather than external web fetching.
MakeContents Data Schema & Taxonomy
The skill organizes its operations through a specific metadata and file taxonomy:
| Data Component | Description | Storage Location |
|---|---|---|
agent-rules.md |
Stores learned patterns, keyword preferences, and filtering logic. | references/ |
api.md |
Complete technical reference for request and response formats. | references/ |
Content ID |
Unique identifier for rendered content and associated images. | API Response |
Push Type |
Classification of news into 'ainews', 'aitopics', or 'aitools'. | Metadata |
MakeContents Advanced Features
- Pattern Recognition: The agent can analyze historical user preferences to update its selection logic in the agent-rules file.
- Local Rendering: Built-in support for generating stylistic covers and detail pages for image-heavy social platforms.
- Multi-Channel Distribution: Seamlessly push content to WeChat, Lark, and Little Red Book through a unified workflow.
- Human-in-the-Loop: Supports private publishing modes and Bitable archiving to ensure content is reviewed by a person before going public.
- Resilient Execution: Includes health check logic and silent failure handling for anti-crawling measures on source websites.
SKILL.md
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