X Voice Match is an AI-powered tool that analyzes Twitter/X account patterns to generate authentic, style-matched posts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install x-voice-match
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-voice-match 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 Voice Match?
X Voice Match is a sophisticated utility designed for the Openclaw Skills ecosystem that allows users to replicate the unique digital persona of any Twitter/X account. By analyzing posting frequency, linguistic nuances, and engagement styles, it creates a detailed voice profile used to generate new content that sounds indistinguishable from the original author. This tool bridges the gap between raw data and creative output, enabling consistent brand messaging and authentic audience engagement.
Whether you are managing multiple profiles or looking to maintain a specific persona, this Openclaw Skills utility provides the technical framework to capture tone, humor, and topical relevance with high precision. It is built to integrate seamlessly with existing command-line tools to provide a professional-grade content generation workflow.
X Voice Match Use Cases
- Maintaining a consistent brand voice across multiple X accounts using Openclaw Skills.
- Analyzing competitor or influencer posting patterns to understand successful engagement strategies.
- Generating drafts for threads, hot takes, or reactions that match a user's established style.
- Automating content creation for social media while preserving the human feel of a specific digital identity.
How X Voice Match Works
- Extract tweet history using integrated tools like Bird CLI to gather raw data for analysis.
- Run the analysis script to parse length patterns, tone markers, signature phrases, and topic preferences.
- Generate a structured JSON voice profile that captures the linguistic essence of the target account.
- Utilize the generation script to create new posts based on specific topics or content types.
- Review confidence scores provided by the Openclaw Skills engine and refine the output to ensure maximum authenticity.
X Voice Match Setup
First, navigate to the skill directory within your Openclaw Skills workspace:
cd /data/workspace/skills/x-voice-match
To analyze an account and create a profile, run the analysis script:
python3 scripts/analyze_voice.py @username --tweets 50 --output profile.json
To generate new posts using the created profile, use the generation script:
python3 scripts/generate_post.py --profile profile.json --topic "your topic" --count 3
X Voice Match Data Schema & Taxonomy
The skill organizes its intelligence into a structured Voice Profile. This data allows Openclaw Skills to maintain high fidelity during the generation phase.
| Field | Description |
|---|---|
| account | The X handle currently being analyzed. |
| patterns | Metrics for average length, humor style, and punctuation usage. |
| topics | List of frequently discussed subjects or niches. |
| signature_phrases | Specific slang, catchphrases, or idiosyncratic keywords. |
| engagement_type | Classification of interaction style, such as reactive Quote Tweets vs original threads. |
X Voice Match Advanced Features
- Periodic profile updates to capture evolving social media trends and language shifts within Openclaw Skills.
- Specific post-type templates for targeted content including Observations, Hot Takes, and Questions.
- Batch generation mode to process multiple topics from a text file into a single JSON output.
- Confidence scoring for every generated post to ensure the output meets authenticity thresholds before publishing.
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