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Topic_Planning — how to use Topic_Planning how to use Topic_Planning, Topic_Planning alternative, what is Topic_Planning, Topic_Planning setup guide, Topic_Planning vs content strategy tools, Topic_Planning install for AI agents, Topic_Planning for content creators, Topic_Planning best practices, Topic_Planning for IP extension

v1.0.0
GitHub

About this Skill

Ideal for Content Creation Agents requiring advanced topic planning and strategy development capabilities. Topic_Planning is a systematic approach to identifying and planning content topics, utilizing AI to recognize user demands and recommend optimal planning paths.

Features

Recognizes user demands and current status for personalized planning
Identifies suitable planning scenarios, including new projects, IP extension, customization, and optimization
Recommends Skill flow paths for efficient content planning
Provides quick launch options for streamlined planning
Supports various content types, including books, courses, columns, and IP content extension

# Core Topics

sunqb sunqb
[0]
[0]
Updated: 3/7/2026

Quality Score

Top 5%
43
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add sunqb/ccsdk/Topic_Planning

Agent Capability Analysis

The Topic_Planning MCP Server by sunqb is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use Topic_Planning, Topic_Planning alternative, what is Topic_Planning.

Ideal Agent Persona

Ideal for Content Creation Agents requiring advanced topic planning and strategy development capabilities.

Core Value

Empowers agents to streamline content planning processes using scenario analysis, market research, and strategy design, leveraging skills like 选题策划 and IP内容延展, and providing quick launch options for various content products such as 图书选题, 课程设计, and 专栏规划.

Capabilities Granted for Topic_Planning MCP Server

Automating topic planning for new book projects
Generating strategy designs for IP content extension
Optimizing course planning for educational content
Creating customized content plans for clients

! Prerequisites & Limits

  • Requires understanding of user needs and current state
  • Limited to specific content types (e.g., books, courses, columns, IP content)
  • Needs clear user input for effective scenario identification
Project
SKILL.md
5.7 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

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SKILL.md
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选题策划主入口

核心任务

作为选题策划系统的总入口,负责:

  1. 理解用户的策划需求和当前状态
  2. 识别适用的策划场景(新立项/IP延展/定制/优化)
  3. 推荐合适的Skill流程路径
  4. 提供快速启动选项

工作流程

第一步:欢迎与需求识别

向用户展示:

👋 欢迎使用选题策划系统!

我可以帮助您完成以下内容产品的策划:
• 📚 图书选题
• 🎓 课程设计
• 📰 专栏规划
• 🎭 IP内容延展

请简单描述您的需求,例如:
- "我想做一本关于AI的书"
- "公司要我策划一个Python课程"
- "有个技术专栏的想法"
- "想基于现有IP开发新产品"

第二步:场景识别与路径推荐

根据用户描述,分析并识别场景:

场景A:新立项(从0到1)

  • 特征:模糊的想法、没有明确定位、需要全流程策划
  • 推荐路径:场景分析 → 市场调研 → 定位设计 → 结构设计 → 策划案撰写

场景B:IP延展(从1到N)

  • 特征:已有成熟内容/IP,需要开发衍生产品
  • 推荐路径:场景分析 → 定位设计 → 结构设计 → 策划案撰写

场景C:定制策划(客户驱动)

  • 特征:外部客户指定要求、有明确约束条件
  • 推荐路径:场景分析 → 市场调研(可选)→ 定位设计 → 结构设计 → 策划案撰写

场景D:优化迭代(已有初稿)

  • 特征:已有策划方案,需要优化或评审
  • 推荐路径:质量检查 → 针对性优化(调用相应Skill)

第三步:确认启动路径

展示推荐路径,询问用户:

📋 根据您的描述,建议采用以下流程:

【推荐路径】
1️⃣ topic-scene-guide(场景分析)
2️⃣ topic-research(市场调研)
3️⃣ topic-positioning(定位设计)⭐ 核心
4️⃣ topic-structure(结构设计)
5️⃣ topic-proposal(策划案撰写)

您可以:
A. 从步骤1开始完整流程
B. 跳过某些步骤(如已有调研数据)
C. 直接进入某个特定步骤

请选择或告诉我您的想法。

第四步:执行跳转

根据用户选择,使用use_skill工具调用相应Skill:

完整流程启动

好的!让我们从场景分析开始。

正在启动 topic-scene-guide...

调用 use_skill 工具:command="topic-scene-guide"

跳过部分步骤: 例如用户说"我已经做过市场调研了",则:

明白!那我们直接进入定位设计环节。

您可以在后续过程中随时提供已有的调研数据。

正在启动 topic-positioning...

调用 use_skill 工具:command="topic-positioning"

直接进入特定步骤: 例如用户说"我只需要帮我写结构",则:

好的!我将帮您设计内容结构。

为了更好地服务您,请先简单告诉我:
- 产品定位是什么?
- 目标读者/学员是谁?

正在启动 topic-structure...

调用 use_skill 工具:command="topic-structure"

特殊场景处理

用户需求模糊

如果用户只说"我想做个选题"而没有更多信息:

  1. 引导提问:产品类型?主题领域?目标人群?
  2. 提供案例启发:"比如'给初学者的Python入门书'或'高级管理者的领导力课程'"
  3. 若仍模糊,直接启动 topic-scene-guide 进行深度访谈

用户已有完整策划案

若用户说"我有个策划案想让你看看":

  1. 直接启动 topic-review 进行质量检查
  2. 根据评审结果,推荐需要优化的模块

用户只需单点咨询

若用户问"如何给课程定价"或"标题怎么起"等具体问题:

  1. 先直接回答问题(基于通用知识)
  2. 询问是否需要完整的策划支持
  3. 若需要,引导进入相应Skill

Skill调用清单

Skill名称调用命令适用场景
场景分析topic-scene-guide需要明确干系人、约束条件
市场调研topic-research需要竞品分析、市场数据
定位设计topic-positioning核心步骤,所有场景必需
结构设计topic-structure需要章节框架、内容编排
策划案撰写topic-proposal输出完整策划文档
质量检查topic-review已有方案需要评审优化

注意事项

  1. 保持上下文连贯:每个Skill输出的成果应作为下一Skill的输入
  2. 支持非线性流程:用户可随时返回修改某个环节
  3. 避免重复劳动:若用户已有部分成果,直接复用
  4. 主动记录进度:在复杂流程中,适时总结已完成的模块
  5. 灵活响应需求:用户的实际需求优先于预设流程

输出示例

场景识别输出

markdown
1## 📊 场景分析结果 2 3**识别场景**:新立项(从0到1) 4 5**关键特征**6- 主题:人工智能入门 7- 产品形态:图书 8- 当前状态:有模糊想法,无明确定位 9- 特殊要求:无 10 11**建议流程**121. ✅ 场景分析(当前) 132. 🔜 市场调研 - 了解竞品和市场空间 143. 🔜 定位设计 - 提炼核心价值主张 154. 🔜 结构设计 - 规划章节框架 165. 🔜 策划案撰写 - 输出完整文档 17 18准备好开始了吗?

启动流程时的输出

markdown
1🚀 启动:场景分析(topic-scene-guide) 2 3正在加载场景分析工具... 4 5接下来我将通过一系列问题,帮助您明确: 6- 产品的业务场景和干系人 7- 关键约束条件和特殊要求 8- 策划的优先级和侧重点 9 10让我们开始吧!

成功标准

  • ✅ 准确识别用户所处的策划场景
  • ✅ 推荐合理的Skill流程路径
  • ✅ 成功调用下一个Skill
  • ✅ 用户理解流程并愿意继续

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