writing-dna-skill

Distill and replicate any writing style with an agent skill, helping AI consistently emulate the target style.

Agent SkillWritingOpen source写作风格复刻AI 写作

Type: Agent Skill
Open source: Yes
GitHub Stars: ★ 1.3k
Source: skill-github
Repository: github.com/larashero3-dotcom/writing-dna-skill

Overview

The Writing Distiller.skill is an agent skill that distills the writing style of any account or author. By systematically analyzing a set of complete articles, it breaks down the style into reusable rules covering language, structure, topic selection, content sourcing, cognitive frameworks, and visual style. After distillation, the AI can re-read these style documents before writing, enabling more consistent replication of the target writing style. Ideal for analyzing long-form articles, public accounts, blogs, and similar content, this skill is suitable for scenarios requiring precise style replication.

Capabilities

▪Analyze word frequency, sentence length, punctuation, and rhetoric
▪Extract article structure templates
▪Summarize topic selection logic and content strategies
▪Identify cognitive frameworks and value judgments
▪Compile visual style guidelines

Use cases

Analyze the stable writing style of a specific account or authorBuild and preserve your own writing style assetsCompare how different authors express the same topicProvide AI with more stable contextual guidance for style replication

Setup

Requires: 至少 20 篇完整文章API Key

Recommended to open `writing-dna-skill` directly on MoxtHub: https://moxt.ai/zh-CN/hub?view=skill&id=writing-dna-skill

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

What types of articles is this skill suitable for?

Suitable for long-form articles, public account posts, blogs, newsletters, column articles, and similar content.

How many articles should I prepare for distillation?

It is recommended to prepare at least 20 complete articles.

How do I use the distilled style?

Have the AI re-read all distilled outputs and write according to that style.

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