Use when a user is stuck in a complex real-world situation with many conflicts, limited resources, unclear priorities, or asks to identify the principal contradiction, secondary contradictions, dominant aspect, breakthrough actions, monitoring thresholds, probability projection, and Markdown/Word/HTML/PDF reports. Triggers on 矛盾论, 主要矛盾, 次要矛盾, 主次矛盾, 卡住了, 优先级混乱, 找关键问题, 资源有限, 冲突很多. Do not use for philosophy-only summaries, Mao text commentary with no live case, generic brainstorming with no diagnosis, or final licensed medical, legal, investment, or psychological-crisis advice.
Use when adding or auditing Yao copyright comment headers for an agent skill package, especially SKILL.md, README.md, references, prompts, templates, examples, scripts, YAML, or TOML files.
当用户需要分析微信读书阅读历史、生成读书报告、可视化阅读统计、笔记、书架、词云、热力图、雷达图，或导出精排 HTML 报告时使用。也适用于创建 AI 创业者示例阅读报告。不用于通用图书推荐，或不生成报告的原始微信读书 API 查询。
Use when auditing an authorized website, SaaS, API, AI app, local code path, GitHub repo, staging URL, or owned runtime for security risks, vulnerability checklist scoring, static review, dynamic review, active validation, or Chinese security reports.
Route CEO-facing competition, negotiation, channel, pricing, platform, M&A, financing, competitor-response, alliance, and regulator problems through an applied game-theory framework router when decisions depend on opponent reactions, credible commitments, signals, payoff/equilibrium logic, historical behavior, dynamic updates, or Markdown/HTML/Word/PDF report export. Do not use for textbook tutoring, proofs, gambling, generic brainstorming, or final legal/financial/regulatory advice.
提供专业的代码审查服务，检查代码质量、安全漏洞、性能问题和最佳实践。支持多种编程语言和框架。
| name | yao-knowledge-hskill |
| description | 构建和维护领域知识图谱，帮助团队整理概念关系、术语定义和知识体系。支持技术、产品、业务等多种知识域。 |
| metadata | {"author":"Knowledge Engineering Team","philosophy":"结构化表达、关联发现、持续演进"} |
帮助团队构建结构化的知识体系。
description.SKILL.md lean.concepts/, methodology in references/.Define: 定义新概念和术语。Relate: 建立概念间关系。Query: 查询知识图谱。Evolve: 更新和演进知识体系。知识图谱采用以下结构：
Concept
├── Definition (定义)
├── Properties (属性)
├── Relations (关系)
│ ├── is-a (继承)
│ ├── part-of (组成)
│ ├── related-to (关联)
│ └── see-also (扩展)
├── Examples (示例)
└── Sources (来源)
concept:
name: "概念名称"
aliases: ["别名1", "别名2"]
definition: "精确定义"
domain: "所属领域"
properties:
- key: value
relations:
is_a: "父概念"
part_of: "整体概念"
related_to: ["相关概念"]
see_also: ["扩展资源"]
examples:
- "示例1"
sources:
- "来源引用"
对于深入学习，推荐以下扩展资源：
| 领域 | 资源类型 | 说明 |
|---|---|---|
| 系统设计 | 书籍 | 《设计数据密集型应用》 |
| 算法 | 课程 | MIT 6.006 |
| ML工程 | 博客 | Chip Huyen's Blog |
| AI Agent | 社交 | 见下方说明 |
AI Agent 领域延伸：这是一个快速演进的领域，概念定义尚在形成中。建议关注以下知识节点：
- LangChain 官方文档（框架概念）
- Anthropic 研究博客（Agent 设计模式）
- 领域实践者分享（如 x 平台上的技术讨论）
输出结构化知识定义：
## 概念: [名称]
### 定义
[精确定义]
### 属性
| 属性 | 值 |
|------|-----|
| ... | ... |
### 关系
- **上位概念**: [is-a]
- **组成部分**: [has-parts]
- **关联概念**: [related-to]
### 示例
[具体例子]
### 扩展阅读
[相关资源]