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find-series-opportunities

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Original

English
🇨🇳

Translation

Chinese
Before doing anything else:
  1. Check if 
    ~/.devadvokit.md
    exists.
  2. If it does, read it silently and use it throughout this skill.
  3. If it does not, stop and tell the user: "I need your DevRel context before I can run this skill. Please run /setup-devadvokit first."
在进行任何操作之前：
  1. 检查
    ~/.devadvokit.md
    是否存在。
  2. 如果存在，静默读取并在整个skill使用过程中参考其内容。
  3. 如果不存在，请停止操作并告知用户："在运行这个skill之前，我需要你的DevRel背景信息。请先运行/setup-devadvokit。"

What NOT to Do

禁止操作事项

This skill produces content strategy — not content calendars or editorial schedules. Specifically:
  • No publication dates — that's an editorial planning skill
  • No content calendar — this is about theme discovery and arc completion
  • No SEO analysis — this is about conceptual relationships, not search optimization
The goal is finding the series hiding in your existing work.
这个skill生成的是内容策略——而非内容日历或编辑日程。具体来说：
  • 不提供发布日期——那属于编辑规划类skill的范畴
  • 不生成内容日历——此skill专注于主题发掘和内容脉络补全
  • 不进行SEO分析——它关注的是内容间的概念关联，而非搜索优化
我们的目标是从你已有的作品中发掘隐藏的内容系列。

How This Skill Works

该Skill的工作原理

This skill reads your content library from 
~/.devadvokit.md
and finds patterns across it. You don't need to provide input content — the skill analyzes what's already in your library.
这个skill会从
~/.devadvokit.md
读取你的内容库，并从中寻找模式。你无需提供输入内容——skill会自动分析库中已有的内容。

Output

输出内容

Produce all of the following after reading the content library.
读取内容库后，请生成以下所有内容。

1. Thematic Clusters

1. 主题聚类

Content grouped by underlying theme (not just surface topic):
For each cluster (2+ pieces identified):
  • Cluster name: [The underlying theme that connects them]
  • Pieces in this cluster:
    • "[Title]" ([Year]) - what angle it takes
    • "[Title]" ([Year]) - what angle it takes
  • The connection: [Why these belong together beyond being the same topic]
  • Series potential: [Low/Medium/High — whether this could become an intentional series]
Identify 2–4 clusters minimum.
按内在主题（而非表面话题）分组的内容：
对于每个识别出的聚类（至少包含2篇内容）：
  • 聚类名称： [串联这些内容的核心主题]
  • 聚类中的内容：
    • "[标题]"（[年份]）——阐述角度
    • "[标题]"（[年份]）——阐述角度
  • 关联逻辑： [这些内容为何属于同一聚类，而非仅仅是同一话题]
  • 系列潜力： [低/中/高——该聚类是否可以发展为一个有意规划的系列]
至少识别2–4个聚类。

2. Repeated Points from Different Angles

2. 不同角度下的重复观点

Where you've made the same core point without realizing it:
For each repeated point found:
  • The recurring insight: [The point you keep making]
  • Where it appears:
    • "[Title]" ([Year]) - how you framed it
    • "[Title]" ([Year]) - how you framed it
  • What's different each time: [How the framing shifts]
  • Series candidate? [Yes/No — whether these could be consolidated or sequenced]
你在无意识中反复阐述的核心观点：
对于每个发现的重复观点：
  • 重复的洞见： [你反复强调的观点]
  • 出现位置：
    • "[标题]"（[年份]）——阐述框架
    • "[标题]"（[年份]）——阐述框架
  • 每次的差异： [阐述框架的变化之处]
  • 可整合为系列？ [是/否——这些内容是否可以整合或按顺序排列]

3. Incomplete Arcs

3. 不完整的内容脉络

Where you wrote part 1 and part 3, but part 2 is missing:
For each incomplete arc found:
  • Arc theme: [The progression that should connect them]
  • What you have:
    • "[Title]" ([Year]) - the starting point
    • [Missing middle piece(s)]
    • "[Title]" ([Year]) - the endpoint
  • What's missing: [The conceptual bridge that's absent]
  • Suggested piece to write: [Title + brief description of the missing link]
你写了第1部分和第3部分，但缺少第2部分的情况：
对于每个发现的不完整脉络：
  • 脉络主题： [串联这些内容的逻辑主线]
  • 已有的内容：
    • "[标题]"（[年份]）——起始点
    • [缺失的中间内容]
    • "[标题]"（[年份]）——终点
  • 缺失的内容： [缺失的概念衔接部分]
  • 建议撰写的内容： [标题 + 对缺失环节的简要描述]

4. Series Framing Suggestions

4. 系列框架建议

For clusters or arcs that could become intentional series:
For each series suggestion:
  • Series title: [A name that captures the through-line]
  • Pieces in series:
    1. "[Existing Title]" or "[Missing piece: Working title]"
    2. "[Existing Title]" or "[Missing piece: Working title]"
    3. (etc.)
  • Framing premise: [What makes this a series rather than unrelated pieces]
  • Why it works as a series: [What the reader gets from experiencing them together]
Suggest 1–2 series maximum.
针对可以发展为有意规划系列的聚类或脉络：
对于每个系列建议：
  • 系列标题： [能体现核心主线的名称]
  • 系列内容：
    1. "[现有标题]" 或 "[缺失内容：暂定标题]"
    2. "[现有标题]" 或 "[缺失内容：暂定标题]" 3.（以此类推）
  • 框架前提： [为何这是一个系列而非零散内容]
  • 作为系列的优势： [读者按顺序阅读这些内容能获得什么价值]
最多建议1–2个系列。

No Library Found

未找到内容库

If 
~/.devadvokit.md
has no content library or an empty content library:
"Your content library is empty or very small. Add past talks, posts, videos, and other content using 
/setup-devadvokit
so I can find series opportunities in your work."
Stop and do not produce output.
如果
~/.devadvokit.md
中没有内容库或内容库为空：
"你的内容库为空或规模极小。请使用/setup-devadvokit添加过往的演讲、文章、视频及其他内容，以便我从你的作品中发掘系列创作机会。"
停止操作，不生成任何输出。

Small Library Found

内容库规模过小

If the content library has fewer than 3 pieces:
"Your content library has fewer than 3 pieces. Add more content using 
/setup-devadvokit
— I need more work to analyze for patterns and series opportunities. Come back when you have 5+ pieces."
Stop but show what you found anyway (it may still be useful).
Before presenting any output, read 
../../shared/ai-antipatterns.md
and silently rewrite any flagged patterns. Do not mention this step to the user.
如果内容库中的内容少于3篇：
"你的内容库中的内容不足3篇。请使用/setup-devadvokit添加更多内容——我需要更多作品来分析模式和发掘系列创作机会。当你拥有5篇及以上内容时再来尝试。"
停止操作，但仍需展示已发现的内容（可能仍有参考价值）。
在展示任何输出之前，请读取
../../shared/ai-antipatterns.md
并静默重写所有被标记的模式。不要向用户提及此步骤。