larashero3-dotcom/writing-dna-skill

写作蒸馏器.skill|蒸馏复刻任意写作风格的 agent skill | Writing DNA Distiller - distill and recreate any writing style as an agent skill

What it solves

Many users struggle to get AI to accurately mimic a specific author's writing style, often relying on a few examples and vague prompts. This typically results in superficial imitation that misses the deeper structural and cognitive patterns of the author's work.

How it works

Instead of direct imitation, this project provides a systematic "distillation" process that breaks down a corpus of an author's work (ideally 20+ articles) into a set of reusable rules called "Writing DNA." The process follows six levels of analysis:

  • L1 Surface Language: Analyzes word frequency, sentence length, punctuation, and common expressions.
  • L2 Article Structure: Identifies hooks, body architecture, transitions, and conclusions.
  • L3-L5 Cognitive Framework: Extracts topic selection logic, material preferences, worldviews, and core assumptions.
  • L6 Visual Style: Analyzes image placement, layout, font hierarchy, and color usage for graphic-heavy content.

These analyses are saved as separate Markdown files (e.g., Language-DNA.md, Structure-Template.md), which an AI agent then reads before writing to ensure a stable and faithful reproduction of the style.

Who it’s for

  • Writers looking to preserve their own writing style as a digital asset.
  • Content creators wanting to analyze and replicate the stable writing styles of other accounts or authors.
  • Users who want to provide AI agents with a consistent and structured context for style replication.

Highlights

  • Multi-layered Analysis: Moves beyond surface tone to analyze structure, cognitive frameworks, and visual presentation.
  • Language Agnostic: Separates "dialogue language" from "output language," allowing users to prompt in one language while generating DNA for another.
  • Integrated De-AI-ing: Includes a complementary skill (lieflat-less-ai-tone) to remove common AI-generated linguistic patterns while prioritizing the distilled author's unique traits.
  • Structured Output: Generates a comprehensive Writing-DNA.md file that serves as a single entry point for AI agents.

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