Markdown.New Local-First Access for Openclaw

A local-first utility that leverages markdown.new to transform URLs into static Markdown for seamless AI processing and terminal-based reading.

ctxinf
v1.0.0
Mar 21, 2026
0
808
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install markdown-new-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install markdown-new-skill 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 Markdown.New Local-First Access?

Markdown.New Local-First Access is a specialized skill designed to streamline how AI agents and developers consume web content. By prepending any target URL with the markdown.new service, this skill converts complex, cluttered web pages into clean, static Markdown. This approach prioritizes speed and readability, ensuring that the information retrieved is immediately ready for summarization, analysis, or integration into a larger project.

Integrating this into your workflow through Openclaw Skills allows for a local-first philosophy. Instead of launching heavy browser instances, the skill favors lightweight terminal commands like curl. This reduces resource overhead and provides a direct pipe of structured data that avoids the noise of ads, scripts, and complex layouts often found on modern websites.

Markdown.New Local-First Access Use Cases

  • Extracting documentation and manuals for offline reading or AI context.
  • Fetching GitHub README files and repository homepages as clean text.
  • Converting blog posts and product announcements into structured notes.
  • Reading changelogs and release notes without browser distractions.
  • Rapidly gathering data from landing pages for competitive analysis.

How Markdown.New Local-First Access Works

  1. The user provides a target URL that needs to be read or summarized.
  2. The skill automatically constructs a request by prepending [https://markdown.new/](https://markdown.new/) to the target URL.
  3. A local terminal command, typically curl, is executed to fetch the converted content.
  4. The service processes the remote HTML and returns a static Markdown representation.
  5. If the conversion is successful, the Markdown is piped back for immediate use; if it fails (e.g., due to highly dynamic content), the system falls back to secondary browsing methods.

Markdown.New Local-First Access Setup

To utilize this skill within your environment, ensure you have curl installed. No complex API keys are required as it leverages the public markdown.new endpoint.

# Test the skill manually using curl
curl -L --fail --silent --show-error "https://markdown.new/https://github.com/ctxinf/markdown.new-skill"

Ensure your AI agent is configured to prioritize this Openclaw Skills workflow when encountering web links.

Markdown.New Local-First Access Data Schema & Taxonomy

The skill operates with a simple input-output schema focused on text transformation:

Component Type Description
Target URL Input The original web link to be converted (e.g., docs, blogs).
Request URL Intermediate The formatted string: [https://markdown.new/](https://markdown.new/){target_url}.
Markdown Body Output The resulting static, structured Markdown text.
Error Handling Fallback Triggers secondary browsing if HTTP errors or timeouts occur.

Markdown.New Local-First Access Advanced Features

  • Local-first execution: Prefers curl over browser automation to save memory and time.
  • Recursive readiness: Use the output directly as input for other Openclaw Skills for summarization.
  • Silent Error Handling: Uses the --fail and --silent flags to ensure clean logs and reliable script integration.
  • Broad Compatibility: Supports a wide range of static resources including GitHub, technical documentation, and static blogs.

SKILL.md


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