Grokipedia for Openclaw

Search and fetch articles from xAI's AI-generated encyclopedia, Grokipedia.

kirillleventcov
v1.2.0
Feb 13, 2026
6
2.8k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install grokipedia

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 grokipedia 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 Grokipedia?

Grokipedia is a specialized tool designed for Openclaw Skills that enables AI agents to interact directly with xAI's Grok-generated encyclopedia. It provides a programmatic way to search for topics and extract high-quality, readable markdown content from Grokipedia.com without requiring API keys or complex authentication.

By leveraging Node.js and Mozilla's Readability library, this skill ensures that agents can access distilled, structured information on a wide range of topics. It is an essential tool for developers looking to augment their agents with the specific creative and factual style of xAI's model outputs.

Grokipedia Use Cases

  • Retrieving deep-dive information on general knowledge topics as synthesized by xAI.
  • Enhancing research workflows by searching for AI-generated summaries across multiple domains.
  • Programmatically fetching clean markdown content for knowledge base augmentation or RAG systems.
  • Explicitly querying Grokipedia when a user requests xAI-specific encyclopedia entries.

How Grokipedia Works

  1. The AI agent triggers the search script with a specific query and optional result limit.
  2. The search script communicates with the Grokipedia API to return a JSON array of relevant slugs and snippets.
  3. The agent selects the most relevant article slug, ensuring case sensitivity and underscore usage.
  4. The fetch script retrieves the page content, uses jsdom and Mozilla Readability to clean the HTML, and outputs the final markdown to stdout.

Grokipedia Setup

To get started with this addition to your Openclaw Skills library, install the dependencies using the following commands:

cd ~/.openclaw/workspace/skills/Grokipedia
bun install --production

Ensure you have Node.js (v18+) or Bun installed to run the search and fetch modules.

Grokipedia Data Schema & Taxonomy

The skill organizes its data flow into two primary modes: search results and article content.

Data Type Format Description
Search Output JSON Array Contains slug, title, snippet, and relevanceScore.
Article Output Markdown Sanitized article text with internal links in the format text.
Input Slugs String Must be case-sensitive with underscores for spaces (e.g., Artificial_intelligence).

Grokipedia Advanced Features

  • High-performance article extraction using @mozilla/readability for clutter-free text.
  • Customizable search limits allowing for up to 50 results per query.
  • Zero-configuration setup with no API keys or credentials required for public access.
  • Lightweight runtime execution that only outputs to stdout, making it ideal for inclusion in complex Openclaw Skills workflows.

SKILL.md


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