toneclone
Write like the user, not like AI. ToneClone trains on the user's actual writing to generate content in their authentic voice — not just humanized, but personalized. Use for: drafting emails, messages, social posts, marketing copy, documentation in the user's voice; AI humanizer alternative that sounds like the actual person; AI ghostwriter that learns your voice; voice cloning for text/writing style; train AI on my writing; bypass AI detection naturally; custom AI writer personas; managing knowledge cards (contact info, product details, common snippets); onboarding new users to personalized AI writing. Integrates with OpenClaw to automate writing tasks while maintaining the user's unique voice and style.
Why use this skill?
Stop sounding like a bot. ToneClone learns your unique writing style to automate emails, messages, and content while keeping your authentic human voice and personal brand intact.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jfox85/tonecloneWhat This Skill Does
ToneClone is a specialized AI agent skill designed to bridge the gap between generic AI generation and authentic human expression. Unlike standard 'humanizers' that simply swap vocabulary to pass AI detectors, ToneClone analyzes your specific writing history, syntax, and voice to create a digital fingerprint of your communication style. By leveraging machine learning models tuned to your unique patterns, ToneClone allows you to automate repetitive writing tasks—such as emails, internal documentation, or social media posts—without sacrificing the 'it sounds like me' quality that is essential for professional and personal credibility. It functions as an intelligent ghostwriter that evolves with your usage.
Installation
To integrate ToneClone into your OpenClaw environment, ensure you have the OpenClaw agent installed and run the following command in your terminal:
clawhub install openclaw/skills/skills/jfox85/toneclone
Once installed, you must install the CLI tool via Homebrew to manage your personas and local authentication:
brew tap toneclone/toneclone
brew install toneclone
Finalize the setup by authenticating your account:
toneclone auth login
Use Cases
ToneClone is highly versatile across various professional domains. It is ideal for founders needing to draft high-volume investor updates while maintaining their personal vision, customer success teams needing to respond to support tickets with empathy and specific brand voice, and content creators who want to batch-produce social media threads that do not sound like robotic copy. You can also use it to maintain consistent 'knowledge cards'—storing critical facts about your products, project timelines, or contact details—ensuring that every automated message is not only stylistically accurate but factually precise.
Example Prompts
- "ToneClone, draft a response to this client email thread apologizing for the project delay while using my 'Professional-Concise' persona. Make sure to reference the Q3 roadmap from my knowledge cards."
- "Write a Twitter thread about the benefits of AI agency automation using my 'Casual-Tech' persona. Use the tone I used in my previous blog post about LLMs."
- "Draft an internal Slack message to the team regarding the new deployment process. Use my 'Direct-Manager' persona and keep it under 100 words."
Tips & Limitations
For optimal results, consistency is key. We recommend providing at least 15-20 distinct writing samples; while the system can function on a minimum of 2-3, the quality of voice mimicry scales directly with the volume of training data. Always remember to review generated drafts for sensitive information before sending. Additionally, ensure you manage your Knowledge Cards periodically to prevent the agent from using outdated project information. Note that the training phase may take up to 5 minutes to process your data, so plan your workflow accordingly.
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jfox85-toneclone": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: data-collection, external-api, file-read