Style Learner
CheckedThe 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
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add athola/claude-night-market --skill style-learner -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
athola
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned athola/claude-night-market at 9045831255.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 9045831255
- Scanned
- 4 files, 537 lines
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.