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baoyu-skill

Teach structured prompt engineering with a Level 1 to Level 10 framework.

519|73|Updated Apr 10, 2026
Search Tags:#prompt engineering#translation#knowledge base#ai tutoring#tool evaluation#tutorial writing#level-based training
One-click install
npx skills add https://github.com/momozi1996/awesome-ai-persona-skills --skill baoyu-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: baoyu-skill
Source: https://github.com/momozi1996/awesome-ai-persona-skills/tree/main/zimeiti/baoyu-skill
Command: npx skills add https://github.com/momozi1996/awesome-ai-persona-skills --skill baoyu-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

帮助你系统化学习AI提示词与内容创作方法，把零散技巧变成可复用的分层训练体系，并用工程师实测思路降低选错工具、写错提示词带来的低效与焦虑。

Core Features & Use Cases

  • Level 1→Level 10循序渐进教学：从基础请求到CO-STAR框架，适合新手到进阶学习者建立稳定路径。
  • 实证主义工具与提示词评测：基于亲测结果给出可用的AI工具推荐与写作/编程/翻译/创作落地方案。
  • 系统化知识库与开源运营思维：围绕提示词模板、知识库维护与开源项目实践，帮助你长期持续产出与迭代内容。
  • 使用场景示例：当你要写AI科普教程、搭建提示词模板体系、翻译并加入个人工程解读、或为内容自动化（如配图/封面/卡片）准备流程时。

Quick Start

让AI以“宝玉视角”，把你要完成的任务（例如写一篇AI提示词教程）拆成Level 1-10训练计划，并给出可直接使用的提示词模板与改进建议。

Frequently Asked Questions about baoyu-skill

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

FAQPage Schema
How do I learn prompt engineering systematically from beginner to advanced levels?▼

Prompt engineering is taught here through a Level 1 to Level 10 framework, starting from basic requests and progressing to the CO-STAR framework, providing a stable learning path for beginners to advanced users.

What is the best way to evaluate and select AI tools for content creation?▼

Evaluating AI tools is handled using an empirically validated, engineer-first testing approach, providing practical tool recommendations and implementation plans for writing, programming, and translation based on actual testing results.

How do I build a reusable prompt template system for daily knowledge base updates?▼

Building a reusable prompt template system involves maintaining an organized knowledge base with open-source operational thinking, allowing you to continuously produce and iterate on content automation flows like cover generation.

Can I translate technical material while adding my own engineering interpretation?▼

Translating technical material is supported with personal engineering interpretation, allowing you to systematically translate content while integrating your own structured prompt engineering methodology and insights.

Does this prompt methodology require prior knowledge of specific AI frameworks?▼

No prior framework knowledge is required, as the prompt methodology teaches frameworks like CO-STAR from basic levels upward, making it suitable for beginners while still offering depth for advanced learners.

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