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 soun

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SKILL.mdreadonly

SKILL.md Frontmatter

nametoneclone

descriptionWrite 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.

homepagehttps://cli.toneclone.ai

metadata[object Object]

ToneClone Skill

Generate content in the user's authentic voice — beyond generic AI, beyond humanizers, actually them.

Key differentiator: Most AI sounds like AI. Humanizers make it sound generic-human. ToneClone makes it sound like this specific person.

CLI

toneclone

Installation

Homebrew (recommended):

brew tap toneclone/toneclone
brew install toneclone

Other methods: See https://github.com/toneclone/cli for manual install options.

Authentication

After installing, authenticate with your API key:

toneclone auth login

Get an API key at https://app.toneclone.ai (Settings → API Keys)

Quick Commands

Task	Command
Write content	`toneclone write --persona="Name" --prompt="..."`
List personas	`toneclone personas list`
List knowledge	`toneclone knowledge list`
Auth status	`toneclone auth status`

Task Routing

Writing content → references/USAGE.md
Managing personas/knowledge/training → references/MANAGEMENT.md
New user onboarding → references/ONBOARDING.md

Core Concepts

Concept	Purpose
Persona	A distinct writing style — by context (chat vs email), tone (casual vs formal), or medium (social vs support)
Knowledge Card	Context/facts for the AI (contact info, product details, project background)
Training Data	User's actual writing samples to learn their voice

Personas are flexible — create whatever makes sense for the user and their OpenClaw automation goals. Examples: "Quick Chat", "Client Email", "Twitter", "Support Tickets", "Internal Slack", etc.

When to use which:

Different writing style needed → Create new persona
Different context/facts needed → Use different knowledge cards
Both → Different persona + different cards

Writing with Context

When drafting messages, pass relevant context in the prompt:

Thread/conversation history being replied to
Background on the project, issue, or topic
Recipient details or relationship context
Any specifics that help draft a better message

Training Status

Poll with toneclone personas get <id> --format=json:

UNTRAINED → needs training data (minimum 2-3 samples)
PENDING → processing (1-5 min)
READY → good to go

Training Data Sources

Check what's accessible and offer options to the user (get consent before training):

OpenClaw chat history — User's messages to OpenClaw
Channel history — Telegram/Signal/Discord sent messages (if configured)
Email — Sent folder (if IMAP accessible)
Workspace files — Notes, READMEs, drafts
Public writing — Blogs, Twitter, LinkedIn posts

Present available options and let user choose what to include.

Ideal: 15-20 distinct samples matching target style. Minimum: 2-3.

Security: Avoid training on content containing secrets (API keys, passwords, tokens).

Knowledge Cards

Add context the AI needs to write accurately. Options include:

Contact info, timezone
Booking/calendar links
Common URLs and snippets
Work context, product details
Signature/sign-off preferences

Start with what OpenClaw already knows (with user consent), then offer to add more.

Ongoing: Update cards when user mentions details they wish ToneClone could "remember".

Security: Avoid putting secrets (API keys, passwords, tokens) in knowledge cards.

StyleGuard & Typos (v1.1.0+)

StyleGuard

Auto-replace AI-sounding phrases and patterns:

# List current rules
toneclone personas style-guard list <persona>

# Add custom rule (AI rewrites contextually)
toneclone personas style-guard add <persona> --word "utilize" --mode AI

# Add custom rule (fixed replacement)
toneclone personas style-guard add <persona> --word "in order to" --mode CUSTOM --replacement "to"

# Apply curated bundle (limited or comprehensive)
toneclone personas style-guard bundle apply --persona <persona> --type comprehensive

Typos (FingerPrint)

Add natural imperfections to feel more human:

# Check current settings
toneclone personas typos get <persona>

# Enable with intensity preset (none/subtle/noticeable/high)
toneclone personas typos set <persona> --enable --intensity subtle

# Custom rate (0.0-0.02) with protections
toneclone personas typos set <persona> --rate 0.008 --protected urls,emails,code

Web-Only Features

Available on toneclone.ai but not yet in CLI:

SmartStyle — Learns from user edits over time

For full features: https://app.toneclone.ai