yao-tutorial-skill

Create beginner tutorial packages with chapters, visuals, and Markdown/DOCX/PDF/HTML exports.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/eninem123/hunterclaw --skill yao-tutorial-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: yao-tutorial-skill
Source: https://github.com/eninem123/hunterclaw/tree/main/skills/yao-tutorial-skill
Command: npx skills add https://github.com/eninem123/hunterclaw --skill yao-tutorial-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandoc, weasyprint, weasyprint, python-docx, Pillow, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill turns a topic or a set of references into a polished, source-backed beginner tutorial package, including a structured outline, per-chapter visuals, and production-ready exports (Markdown/DOCX/PDF/HTML).

Core Features & Use Cases

  • Adaptive research + evidence mapping: adapts effort to how much material the user provides, then registers sources and maps evidence to tutorial claims.
  • Course-style structure: rewrites the content into a learner-focused curriculum with numbered chapters (第1章 / 1.1).
  • Per-chapter visual packs: generates one visual per chapter and embeds chapter-appropriate images.
  • Multi-format publishing outputs: exports a complete tutorial package to Markdown, Word, PDF, and HTML, then validates the package for hygiene and completeness.

Quick Start

Ask the AI to create a complete beginner tutorial package for your topic with your provided references, including chapter visuals and exports to Markdown, DOCX, PDF, and HTML.

Frequently Asked Questions about yao-tutorial-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a beginner tutorial package with chapter visuals and multi-format exports?▼

To generate a beginner tutorial package, provide a topic or references to trigger adaptive research, course-style outlining, per-chapter visual generation, and final validation exporting to Markdown, DOCX, PDF, and HTML formats.

How does evidence mapping work for course outlines and tutorial generation?▼

Evidence mapping registers supplied sources and maps them to tutorial claims, ensuring your course outline and long-form beginner manuals maintain source-backed accuracy throughout the generated content.

Do I need pandoc and weasyprint to export tutorials to PDF and HTML?▼

Yes, pandoc and weasyprint are required dependencies to export your standalone tutorial package to PDF and HTML, while python-docx and Pillow handle DOCX generation and visual embedding.

What's the best way to create textbook-style tutorials from existing references?▼

Creating textbook-style tutorials from references involves adaptive research effort scaling, curriculum structuring into numbered chapters, chapter-embedded visual generation, and multi-format publishing with package validation.

Why does package validation matter for tutorial generation and public outputs?▼

Package validation matters because it prevents provenance marker leakage in public outputs, checking hygiene and completeness across your exported Markdown, DOCX, PDF, and HTML tutorial files before final delivery.

Can I use this for teaching document production at beginner course scale?▼

Yes, this is designed for teaching document production, specifically generating textbook-like tutorials, course guides, and long-form beginner manuals that require evidence mapping and visual per-chapter delivery.