Style Learner
The Style Learner analyzes text samples to identify stylistic patterns and then replicates that style in new generated content for consistent tone & voice.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add style-learner npx -- -y @trustedskills/style-learner
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"style-learner": {
"command": "npx",
"args": [
"-y",
"@trustedskills/style-learner"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The style-learner skill allows an AI agent to learn and adopt specific writing styles from provided examples. It analyzes text samples to identify patterns in language, tone, and structure, then applies these characteristics to new content generation. This enables the creation of outputs that closely mimic a desired style or author.
When to use it
- Content Adaptation: You need an AI agent to rewrite existing content into a different voice (e.g., formal to informal).
- Author Imitation: You want the agent to generate text in the style of a particular writer, for creative writing or mimicking specific communication patterns.
- Brand Voice Consistency: Ensure all generated content aligns with a defined brand style guide by training the agent on existing marketing materials.
- Persona Creation: Develop an AI persona with a distinct and consistent writing style for customer service or virtual assistant roles.
Key capabilities
- Style analysis from text samples
- Application of learned styles to new text generation
- Adaptation of tone, language, and structure
- Mimicry of authorial voice
Example prompts
- "Learn the writing style from this document: [paste text sample]"
- "Write a short story in the style of Ernest Hemingway."
- "Rewrite this email to match the tone of our company's marketing materials: [paste email]"
Tips & gotchas
The quality of the learned style heavily depends on the clarity and consistency of the provided example text. Providing diverse examples will generally lead to a more robust and adaptable stylistic model.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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