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find-content-angles

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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，静默读取该文件并在整个skill执行过程中使用其中的信息。
  3. 如果不存在，请停止操作并告知用户：“在运行此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

This skill produces angles, frameworks, and directions — not finished content. Specifically:
  • No full drafts — you're finding the seeds of future pieces, not writing them
  • No SEO keyword research — that's a different skill for a different workflow
  • No social media posts — use 
    /repurpose-talk
    for that
The goal is content strategy discovery, not content production.
此skill用于生成创作角度、框架和方向——而非成品内容。具体而言：
  • 不生成完整草稿——你要寻找的是未来内容的创作种子，而非直接撰写内容
  • 不进行SEO关键词研究——这属于另一个工作流中的不同skill
  • 不生成社交媒体帖子——如需此功能，请使用
    /repurpose-talk
本skill的目标是内容策略探索，而非内容生产。

Q&A

问答环节

Ask these questions one at a time. Wait for each answer before asking the next.
  1. What's the content piece? Paste or describe it — blog post, talk abstract, case study, docs PR, etc. This is your source material.
  2. What was the core insight or lesson here, in one sentence? (What's the one thing you want people to take away?)
  3. Who was the original audience for this piece? (The people you wrote it for the first time.)
  4. What response did this get when you published it? (Comments, questions, "but what about X" — these are clues for angles you didn't explore.)
请依次提出以下问题，等待用户回答每个问题后再提出下一个。
  1. 你的源内容是什么？请粘贴或描述它——比如博客文章、演讲摘要、案例研究、文档PR等。这是你的素材来源。
  2. 其中的核心洞见或经验是什么？请用一句话概括。（你希望人们从中获取的最关键信息是什么？）
  3. 该内容最初的目标受众是谁？（你首次创作时面向的人群。）
  4. 该内容发布后获得了哪些反馈？（评论、问题、“那X情况呢”之类的疑问——这些都是你未探索到的创作线索。）

Output

输出内容

Produce all of the following once the Q&A is complete.
完成问答环节后，生成以下所有内容。

1. Abstraction Ladder

1. 抽象层级 ladder

Start with the specific problem you solved, then climb up 3 levels of generalization:
  • Level 1 (specific): [What you actually did]
  • Level 2 (pattern): [What this is an instance of]
  • Level 3 (principle): [What principle this demonstrates]
  • Level 4 (universal): [What universal truth this points to]
Include one sentence on when each level is the right framing for a new piece.
从你解决的具体问题开始，逐步向上概括3个层级：
  • Level 1（具体层面）： [你实际完成的事项]
  • Level 2（模式层面）： [这属于哪种模式的实例]
  • Level 3（原则层面）： [这体现了什么原则]
  • Level 4（普适层面）： [这指向了什么普适真理]
请为每个层级补充一句话，说明何时适合将该层级作为新内容的框架。

2. Audience Pivots

2. 受众转向

The same insight reframed for different readers. Generate 3 pivots:
  • Pivot 1: [Different job role perspective]
  • Pivot 2: [Different experience level perspective]
  • Pivot 3: [Different context/industry perspective]
For each pivot:
  • Who they are (specific)
  • What they care about that's different from the original audience
  • How the same insight serves them differently
  • A working title for this angle
Ground pivots in your actual audience knowledge from 
~/.devadvokit.md
.
针对不同读者群体重新解读同一洞见。生成3种转向方向：
  • 转向1： [不同职位视角]
  • 转向2： [不同经验水平视角]
  • 转向3： [不同场景/行业视角]
针对每个转向方向：
  • 明确受众身份（具体）
  • 说明他们与原受众不同的关注点
  • 解释同一洞见如何为他们提供不同价值
  • 为该角度拟定一个暂定标题
请基于
~/.devadvokit.md
中的受众知识来制定转向方向。

3. Controversy Check

3. 争议点检查

Is there a defensible contrarian take buried in this piece? Most educational content has one. Surface it:
  • The conventional wisdom: [What most people believe or do]
  • Your contrarian angle: [Where you disagree or take a different path]
  • Why it's defensible: [Evidence, experience, or reasoning]
  • The piece this could become: [Title + premise]
If no genuine controversy exists (not all content has one), note: "No strong contrarian angle — this is consensus-building content" and move on.
该内容中是否隐含着可辩护的反向观点？大多数教育类内容都会包含此类观点。请挖掘出来：
  • 传统认知： [大多数人相信或采取的做法]
  • 你的反向角度： [你持不同意见或采取不同路径的地方]
  • 可辩护依据： [证据、经验或推理]
  • 可发展的内容： [标题 + 核心前提]
如果不存在真正的争议点（并非所有内容都有），请注明：“无明确反向角度——此内容旨在达成共识”，然后继续下一步。

4. "What This Assumes"

4. “隐含假设”分析

Surfaces hidden assumptions in your argument. Each could become its own piece:
List 3–5 assumptions your piece makes that readers might not share. For each:
  • Assumption: [What you're taking for granted]
  • Who might not share it: [Which audience segment]
  • The piece this assumption could become: [Title + brief description]
挖掘你的论点中隐藏的假设，每个假设都可以发展为独立内容：
列出3-5个你的内容中默认存在但读者可能不认同的假设。针对每个假设：
  • 假设： [你视为理所当然的内容]
  • 可能不认同的受众： [哪类受众群体]
  • 可发展的内容： [标题 + 简要描述]

Content Library Check

内容库检查

Scan the content library in 
~/.devadvokit.md
. If any existing content covers similar angles or themes:
"This overlaps with [title] ([year]) — consider whether this angle adds something new or whether you're retreading ground."
If nothing overlaps, omit this section entirely.
Before presenting any output, read 
../../shared/ai-antipatterns.md
and silently rewrite any flagged patterns. Do not mention this step to the user.
扫描
~/.devadvokit.md
中的内容库。如果已有内容涵盖类似角度或主题：
“此内容与[标题]（[年份]）存在重叠——请考虑该角度是否能带来新价值，或是在重复已有内容。”
如果没有重叠内容，请完全省略此部分。
在展示任何输出内容之前，请读取
../../shared/ai-antipatterns.md
并静默重写所有被标记的模式。请勿向用户提及此步骤。