A conversation-driven AI assistant designed to streamline the research, drafting, and publishing process for X (Twitter) through a structured workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install x-expert
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 x-expert 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 X Expert?
X Expert is a sophisticated AI agent skill designed to transform how developers and creators manage their social media presence. By utilizing a structured 9-step conversational workflow, this skill handles everything from trend discovery to final execution. It is a premier example of how Openclaw Skills can bridge the gap between AI reasoning and social media automation.
The skill integrates deeply with the Twitter API and various search and image generation services. Whether you need to find the latest industry news, draft a witty thread, or generate a high-tech visual for your post, X Expert orchestrates these complex tasks into a simple, chat-based interface. It ensures your content is data-backed, stylistically consistent, and published at the perfect moment.
X Expert Use Cases
- Researching industry trends and hot topics using AI-powered search engines.
- Drafting professional, humorous, or technical tweets based on real-time data summaries.
- Generating AI-powered visual assets using DALL-E 3 or Leonardo.ai to increase engagement.
- Orchestrating multi-post threads with a logical content flow.
- Scheduling posts for future delivery to maintain a consistent social media pipeline.
How X Expert Works
- Initialize the process by entering the /x-expert command within your AI agent interface.
- Choose whether to perform real-time information gathering via Exa, MiniMax, or Brave Search.
- Review the AI-summarized research findings to decide the direction of your content.
- Define the content style, such as professional, sharp, or casual, and identify the target audience.
- Generate the tweet or thread draft and iterate on the content until it meets your requirements.
- Optionally select an image generation service to create a custom visual for the post.
- Set publication parameters, choosing between immediate release or a scheduled time slot.
- Perform a final review of the generated text, media, and metadata.
- Authorize the agent to publish the content directly to X via the secure API bridge.
X Expert Setup
To integrate this skill into your workflow, ensure you have the necessary dependencies installed for this Openclaw Skills package:
npm install twitter-api-v2
You must also configure your environment variables to provide secure access to the X API:
X_API_KEY=your_api_key
X_API_SECRET=your_api_secret
X_ACCESS_TOKEN=your_access_token
X_ACCESS_TOKEN_SECRET=your_access_token_secret
X Expert Data Schema & Taxonomy
X Expert utilizes a modular script architecture to handle data processing and API communication. The system organizes its functions into the following schema:
| Component | Description |
|---|---|
| collect-info.js | Logic for querying Exa, MiniMax, or Brave Search APIs. |
| generate-tweet.js | Template-based and LLM-driven content generation logic. |
| generate-image.js | Integration layer for DALL-E, Leonardo.ai, and MiniMax Image. |
| post-tweet.js | The primary delivery mechanism for single-status updates. |
| post-thread.js | Manages the sequential posting of linked tweets (threads). |
| schedule-tweet.js | Handles timing and queuing for delayed publication. |
X Expert Advanced Features
- Support for multi-engine AI search to find the most relevant industry benchmarks.
- Capability to generate multi-post threads with automated context preservation.
- Cross-platform image generation support including DALL-E 3, Leonardo.ai, and Nano Banana.
- Automated draft review and feedback loops to ensure high-quality output.
- Native support for environment-variable-based credential management for enhanced security.
SKILL.md
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