Transform public web content into clean, LLM-ready Markdown for efficient AI data ingestion and processing.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install markdown-convert
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install markdown-convert using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The markdown-new skill provides a robust bridge between the raw web and AI-native workflows. By integrating with the markdown.new service, this Openclaw Skills extension enables developers to convert complex, JavaScript-heavy web pages into structured Markdown text. This process is essential for reducing token costs in large language model prompts and improving the accuracy of Retrieval-Augmented Generation (RAG) systems by stripping away unnecessary HTML noise and boilerplate.
Built for speed and flexibility, the skill handles everything from simple blog posts to complex single-page applications. It provides fine-grained control over rendering methods, allowing developers to choose between standard conversion, AI-enhanced extraction, or full headless browser rendering. This ensures that the resulting data is always high-quality and ready for immediate use in Openclaw Skills automation pipelines.
To get started with this Openclaw Skills extension, ensure you have Python 3 installed and navigate to the skill directory to execute the fetcher.
# Navigate to the skill root to ensure proper path resolution
cd ~/.codex/skills/markdown-new
# Test a basic fetch to verify the installation and connectivity
python3 scripts/markdown_new_fetch.py 'https://example.com'
The skill organizes its output into clean Markdown files and captures response metadata to assist in planning downstream AI tasks.
| Attribute | Description |
|---|---|
| x-markdown-tokens | Provides an estimate of the tokens used, helping manage AI context windows. |
| x-rate-limit-remaining | Tracks daily API usage (500 requests/day) to prevent workflow interruptions. |
| method | Indicates whether auto, ai, or browser rendering was utilized for the conversion. |
| --deliver-md | Wraps content in custom XML-style tags for structured parsing by coding agents. |
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