Does it copy the original text directly?

No, it extracts the structural logic, linguistic style, and formatting patterns to help you generate original content that matches the quality and feel of the source.

How many samples are needed for accurate analysis?

While it can work with a single file, providing 3-10 high-quality samples is recommended for the best results in identifying consistent patterns.

Can I use Doc Learner for non-English documentation?

Yes, the skill is language-agnostic and can analyze and replicate documentation styles across any language supported by Claude.

What types of documents can Doc Learner analyze?

Doc Learner is designed for structured documents including prompt engineering scripts, technical manuals, API documentation, and user guides.

Doc Learner

Name: Doc Learner
Author: evanfang0054

byevanfang0054

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Learning & Documentation

Analyzes and mimics the structure, style, and patterns of high-quality documentation to help create templates and professional content.

Doc Learner is a specialized skill for Claude Code designed to systematically analyze existing documents—ranging from complex prompt engineering scripts to technical API manuals—to extract their underlying architecture and linguistic style. By identifying structural patterns, tone, and information flow, it enables users to generate new, high-quality material that maintains consistency with established benchmarks. It is an essential tool for prompt engineers, technical writers, and developers who need to scale their documentation efforts while preserving professional standards across various document types.

Key Features

01Multi-domain support including prompt engineering, API docs, and user manuals

021 GitHub stars

03Deep structural analysis to identify hierarchical organization and information architecture

04Linguistic style extraction to capture specific tones, terminologies, and naming conventions

05Automated template creation for repeatable document structures and writing patterns

06Iterative quality validation to ensure generated content matches learned benchmarks

Use Cases

01Mimicking the professional tone and structure of official documentation for internal API projects

02Enhancing existing technical drafts by applying patterns from high-performing documentation samples

03Analyzing a library of successful prompts to extract a standardized 'Meta-Prompt' template

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add evanfang0054/cc-system-creator-scripts doc-learner

For use in Claude.ai and ChatGPT

Download Skill