A professional-grade skill that saves articles to Readwise Reader with automatic, LLM-powered classification and specialized handling for WeChat content.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install readwise-article-saver
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 readwise-article-saver 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 Readwise Article Saver?
The Readwise Article Saver is a high-performance utility designed for the Openclaw Skills ecosystem. It bridges the gap between content discovery and long-term storage by automating the archival process. This skill goes beyond simple bookmarking; it utilizes Large Language Models to analyze article content and apply precise tags from a controlled taxonomy, ensuring your digital library remains organized without manual effort.
One of the standout features of this tool is its specialized handling for WeChat Official Account articles. By utilizing server-side fetching and custom User-Agent strings, it bypasses common parsing failures that often plague standard saving tools. Whether you are saving a single link or a batch of research papers, this skill provides a reliable, hands-off experience for power readers and researchers.
Readwise Article Saver Use Cases
- Saving high-value articles to Readwise Reader for later consumption or permanent archival.
- Automatically organizing research materials using a professional finance and technology taxonomy.
- Capturing WeChat Official Account articles that typically fail to parse correctly in standard browser extensions.
- Batch-processing multiple URLs shared in a single conversation to streamline knowledge management workflows.
How Readwise Article Saver Works
- The skill identifies one or more URLs in a user message and immediately triggers the execution process.
- A specialized Python script fetches the article content, with specific logic to handle the nuances of WeChat (mp.weixin.qq.com) links.
- The extracted text and metadata are passed to the llm-task tool, which classifies the content into 2-5 specific tags based on a predefined taxonomy.
- The skill communicates with the Readwise Save API to archive the article and then applies the generated tags.
- A concise report is generated for the user, confirming the success of the archival and the specific tags applied.
Readwise Article Saver Setup
To deploy this within your Openclaw Skills environment, ensure you have the necessary dependencies and environment variables configured.
# Requirements: python3, curl
# Configuration: Ensure the following keys are in your openclaw.json
# READWISE_TOKEN: Your API token from readwise.io/access_token
# OPENROUTER_API_KEY: Required for the llm-task tagging feature
Readwise Article Saver Data Schema & Taxonomy
The skill processes data using a structured JSON format to ensure consistency between the fetcher and the tagger.
| Field | Type | Description |
|---|---|---|
| status | string | 'ok' or 'error' status of the fetch operation |
| title | string | Extracted title of the article |
| author | string | Identified author or publication source |
| text_preview | string | First 8000 characters used for AI classification |
| tags | array | JSON array of 2-5 strings derived from the taxonomy |
Readwise Article Saver Advanced Features
- WeChat Optimization: Uses MicroMessenger UA and server-side fetching to ensure 100% content capture from WeChat links.
- Controlled Taxonomy: Forces the AI to use specific tags (e.g., Private Credit, VC, AI Agent) to prevent tag bloating.
- Batch Processing: Capable of handling multiple URLs sequentially and presenting a consolidated summary table.
- Fallback Mechanisms: If AI tagging fails, the article is still saved with a default tag to prevent data loss.
SKILL.md
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