Content Claw AI for Openclaw

An automated engine that transforms source materials into platform-ready social media content, diagrams, and AI-generated visuals.

thierrypdamiba
v0.0.1
Mar 18, 2026
0
789
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install contentclaw-ai

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 contentclaw-ai 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 Content Claw AI?

Content Claw AI is a sophisticated content generation engine designed to bridge the gap between raw information and high-engagement social media assets. By leveraging this tool from the Openclaw Skills collection, developers and marketers can convert research papers, podcasts, and GitHub repositories into tailored posts for X, Reddit, and more. It utilizes a unique brand graph system to maintain consistent voice and visual identity across all generated media.

The skill stands out by integrating advanced AI image generation with autonomous topic discovery. It doesn't just rewrite text; it synthesizes context to create infographics and diagrams, ensuring that your output is not only informative but also visually striking and optimized for platform-specific algorithms.

Content Claw AI Use Cases

  • Converting technical GitHub repositories or research papers into digestible X threads.
  • Automating the creation of infographics from complex case studies or Reddit discussions.
  • Generating platform-ready visuals using high-end models like Recraft V4 or Flux via fal.ai.
  • Discovering trending topics autonomously to maintain a consistent publishing schedule.
  • Tracking engagement and feeding performance data back into a brand graph for iterative improvement.

How Content Claw AI Works

  1. The user provides a source URL or a specific topic to the agent.
  2. Content Claw AI performs autonomous discovery via Exa search, Reddit, or X to gather deep context.
  3. The system applies a Brand Graph to the data to ensure the output matches the desired voice, audience, and visual style.
  4. AI models (Recraft V4, Ideogram V3, or Flux) are routed to generate high-quality images and diagrams based on the content spec.
  5. Platform-ready posts are formatted with UTM tracking and published directly to social channels.
  6. Engagement metrics are monitored to refine future content generation through a continuous feedback loop.

Content Claw AI Setup

To get started with this skill, install the main package using the ClawHub CLI:

clawhub install contentclaw

Ensure you have your fal.ai API keys configured for image generation and the necessary social media credentials linked within your environment.

Content Claw AI Data Schema & Taxonomy

Content Claw AI organizes information through a structured taxonomy to ensure brand consistency:

Component Description
Brand Graph Stores voice profiles, audience personas, and visual identity constraints.
Recipes Templates defining how specific source types (e.g., PDF vs URL) map to output formats.
Asset Store Local and cloud storage for generated images, infographics, and JSON metadata.
Analytics UTM-tagged performance logs and engagement feedback data.

Content Claw AI Advanced Features

  • Model Routing: Dynamically selects the best image model (Recraft, Ideogram, Flux) based on the visual requirement.
  • Autonomous Discovery: Uses advanced search protocols to find relevant trends without manual input.
  • Spec-First Architecture: Generates content based on rigorous technical specifications rather than simple prompts.
  • Feedback Loop: Automatically adjusts brand voice and topic selection based on real-world engagement tracking.
  • Multi-Platform Publishing: Native support for Reddit and X with automated UTM parameter injection.

SKILL.md


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