zephyrwang6 Content Digest
Transform long-form content into compelling short-form and long-form narratives.
Overview
This skill converts lengthy content (YouTube videos, podcasts, interviews, articles) into two distinct formats:
- Short-Form (短文): Social media-friendly summaries (300-800 characters) with numbered emoji lists (1️⃣2️⃣3️⃣)
- Long-Form (长文): Narrative articles (1500-3000+ characters) with story arcs, section headers, and integrated quotes
Workflow
1. Obtain the Content
If user provides a URL:
- YouTube links: Use WebFetch or attempt to extract transcript
- Article URLs: Use WebFetch to retrieve content
- Podcast links: Fetch transcript if available
If user provides text:
- Read the full transcript or article text directly
If content is unclear:
- Ask: "Please provide the YouTube link, podcast transcript, or article you'd like me to transform."
2. Determine Output Format
If user specifies format:
- Proceed with their choice (short-form only, long-form only, or both)
If user does not specify:
- Ask: "Would you like: (1) Short-form only, (2) Long-form only, or (3) Both versions?"
Default behavior:
- Generate both versions to maximize value
3. Deep Analysis - Four-Stage Process
CRITICAL: Follow this systematic process to ensure depth
Stage 1: Extract All Viewpoints (50+ minimum)
Read the entire content thoroughly and extract ALL viewpoints, including:
- Explicit statements and opinions
- Implicit beliefs revealed through stories
- Decision-making rationales
- Observations about the industry/domain
- Personal experiences and lessons
- Counterexamples and contrasts
- Numbers, data points, specific examples
Goal: Create a comprehensive list of 50+ viewpoints before filtering. Don't judge quality yet - just extract everything.
Stage 2: Filter for Non-Consensus & Depth
From the 50+ viewpoints, identify and mark those that are:
- Non-consensus (非共识): Challenges industry conventional wisdom
- Personal/private insights (个人私下表达): Things people think but rarely say publicly
- Counterintuitive (反直觉): Surprises even informed readers
- Interesting trivia (有意思的冷知识): Specific details that reveal deeper patterns
- Mental models: Frameworks that explain decision-making
- Second-order insights: Not just "what" but "why this matters philosophically"
- Paradoxes and tensions: Contradictions that expose underlying principles
Goal: Flag the 20-30 viewpoints that pass the "non-obvious test" - would a smart, informed reader already know this?
Stage 3: Select Core Narrative Elements
Identify:
- Core narrative: What's the main story or theme?
- Memorable quotes: Direct quotes that capture big ideas or reveal character
- Turning points: Moments of realization or paradigm shifts
- Dramatic elements: Irony, contrast, or unexpected outcomes
- Specific details: Names, numbers, dates that prove the deeper point
Stage 4: Curate Final Insights
From the filtered viewpoints (Stage 2) and narrative elements (Stage 3):
- For short-form: Select 10-15 most profound, actionable insights
- For long-form: Use the same 10-15 insights as the foundation, then weave in narrative arc
4. Generate Short-Form Version
CRITICAL: Use ONLY the 10-15 curated insights from Stage 4
Consult style-guide.md for detailed guidelines. See examples.md for reference.
Structure:
# MMDD：[嘉宾名] X [栏目名]：[一句话核心观点]
今天看到 [嘉宾名] 去了 [栏目名] 的播客。
[嘉宾名] [2-3句话介绍嘉宾背景和核心成就，用具体数据]。
这期播客总共录了 [时长]，[嘉宾名] 谈到了 [N] 个有趣的观点：
1、[观点标题/关键词]。[完整的逻辑阐述，包含推理过程，2-4句话]
2、[观点标题/关键词]。[完整的逻辑阐述，包含推理过程，2-4句话]
3、[观点标题/关键词]。[完整的逻辑阐述，包含推理过程，2-4句话]
...
[Continue with 10-15 total points]
---
标题格式 (重要):
- 格式：
# MMDD：嘉宾名 X 栏目名：一句话观点 - 示例：
# 0130：Peter Steinberger X The Pragmatic Engineer：一天600次提交，代码比以前更好 - 一句话观点要抓住最反直觉或最有冲击力的点
开头格式 (重要):
- 第一句：简单说看了什么
今天看到 [嘉宾] 去了 [栏目] 的播客。 - 第二段：2-3句介绍嘉宾背景，必须有具体数据（数字、公司名、产品名）
- 第三句：过渡句
这期播客总共录了 [时长]，[嘉宾] 谈到了 [N] 个有趣的观点： - 如果不知道时长，可以写"将近两小时"或省略时长
List Format Rules (重要):
- 使用数字+顿号格式 (
1、2、3、...)- 注意是顿号「、」不是点号「.」
- 每条是完整段落，包含：
- 观点/结论（第一句）
- 逻辑推理/因果解释（后续句子）
- 具体例子或数据（如有）
- 每条 2-4 句话，50-150 字
- 观点要有深度：
- ✅ "AI 应用创业者不会相信 AGI。逻辑很简单，如果真信，就不应该做 AI 应用创业。AGI 如果存在，创业就只剩一件事：去做有机会达成 AGI 的模型。"
- ❌ "AI 应用创业者不相信 AGI"（太简单，没有逻辑推理）
- 保持 10-15 条（不是 8-12 条）
Key principles:
- 标题要有冲击力，抓住最反直觉的观点
- 开头简洁，快速进入正题
- 每条观点要有完整的逻辑链条
- 观点之间可以有递进或对比关系
- Include specific data when available (numbers, names, percentages)
- Pass the non-obvious test (would informed readers NOT already know this?)
- End with separator line
---
5. Generate Long-Form Version
CRITICAL: Build ENTIRELY on the same 10-15 curated insights from Stage 4
The long-form version is NOT a separate summary - it's a narrative expansion of the SHORT-form insights with story arc and analytical depth.
Consult style-guide.md for detailed guidelines. See examples.md for reference.
IMPORTANT: Choose the right style based on content type
For interview/podcast/dialogue content → Use Style B (对话式访谈) For solo speech/article/essay → Use Style A (叙事性文章)
Style A Structure (叙事性文章):
[Compelling Title - derived from core insight]
[Opening: Set the scene using one of the 10-15 insights]
### [Section 1: Background]
"[Key quote]"
[Context - connect to 2-3 of your curated insights]
### [Section 2: Main Content]
[Narrative development - weave in 4-5 curated insights with quotes and analysis]
### [Section 3: Climax]
[Dramatic highlights - reveal most counterintuitive insight]
### [Section 4: Resolution/Turning Point]
"[Pivotal quote]"
[Significance - tie back to mental model or principle]
### [Epilogue: Reflection]
[What happened after / Ironic contrast - connect final insights]
[Optional: Source attribution]
Key principles (Style A):
- Compelling title derived from your deepest insight
- Clear section headers for navigation
- Each section develops 2-4 of your 10-15 curated insights with narrative and quotes
- Integrate direct quotes naturally - use them to prove your curated insights
- Build narrative arc: setup → development → climax → resolution
- Use dramatic irony when relevant ("他不知道的是..." / "He didn't know that...")
- Include specific details (names, numbers, dates) from your curated list
- Deep analytical layer - weave in your Stage 2 filtered insights:
- Why specific choices reveal broader strategic principles
- How contradictions or tensions expose underlying philosophies
- What the subject's evolution teaches about the domain
- Connections between micro-decisions and macro-outcomes
- 2000-3500+ characters to properly develop 10-15 deep insights
Style B Structure (对话式访谈):
[前言/导语 - 编辑者视角]
断断续续，终于看完了...[个人感受]
干货很多。[嘉宾]可能是...[定位评价]
[为什么值得关注]
我今天不忙，把这次访谈全文精编出来，供大家学习。赠人玫瑰，手有余香。
[可选：节日祝福]
下面是 YouTube/播客链接：[链接]
#01 [主题标题 - 简短有力]
主持人：[问题]
嘉宾：[回答 - 保留对话感]
[编辑补充：数据解读、背景、个人观点]
[可用："我觉得这个点真的太重要了" "这太有意思了"]
主持人：[追问]
嘉宾：[深入回答]
[继续分析]
[可选：插入相关文章链接]
#02 [第二主题]
主持人：[新话题]
嘉宾：[回答]
[编辑解读]
...
#03-#0N [按主题继续]
...
Key principles (Style B):
- 口语化开场："断断续续看完" "干货很多" 体现真实感
- 编号主题：用 #01 #02 等清晰分段，主题标题直白有力
- 保留对话：60-70%保持"主持人：""嘉宾："格式
- 编辑介入：20-30%加入编辑分析、补充、个人反应
- 口语化表达："太离谱了" "我觉得" "说实话" "天哪" "完全是这样"
- 具体数据：必须保留数字、人名、公司名
- 补充链接：适时插入"文章链接：..." 延伸阅读
- 人情味结尾："赠人玫瑰，手有余香"
- 主题重组：不按时间线，按话题逻辑重新组织
- 3000-8000+ 字（根据访谈长度）
6. Quality Check
Before delivering, verify you followed the four-stage process:
Stage 1 verification:
- Extracted 50+ viewpoints from source material (can be implicit - doesn't need to be shown to user)
Stage 2 verification:
- Filtered for non-consensus, counterintuitive, and deep insights
- Identified personal/private expressions and interesting trivia
- Marked mental models and second-order insights
Stage 3 & 4 verification:
- Selected 10-15 most profound insights for final output
- Short version uses ALL 10-15 curated insights
- Long version develops the SAME 10-15 insights with narrative
Depth check - Each of the 10-15 insights must:
- Pass the "non-obvious test": Would an informed reader already know this?
- Reveal a mental model, framework, or underlying principle
- Challenge conventional thinking OR expose interesting trivia
- Connect ideas in an unexpected way OR show second-order effects
Quality verification:
- Quotes are accurate and attributed
- No editorializing beyond source material
- Writing is engaging, not robotic
- Both versions can stand alone
- Numbers/facts are specific, not vague
- The "so what?" is clear to readers
- Every takeaway reveals WHY it matters, not just WHAT happened
- Short and long versions share the same insight foundation
7. Deliver Output
文件保存规范：
- 保存位置：
/Users/ugreen/Documents/obsidian/每日播客/ - 文件命名：
MMDD-主题关键词.mdMMDD为当天日期（如 0109 表示 1 月 9 日）主题关键词为 2-6 个字的内容概括（如Lovable增长策略、AI编程工具）- 示例：
0109-Lovable增长策略.md、0108-睡眠科学.md
- 自动保存：生成内容后，使用 Write 工具将完整内容保存到上述路径
格式规范：
- 行距：段落内不留空行，段落之间留一个空行
- 文档标题：使用
# MMDD：嘉宾名 X 栏目名：一句话观点格式 - 长文标题：使用
# 精华片段
结构模板：
# MMDD：[嘉宾名] X [栏目名]：[一句话核心观点]
今天看到 [嘉宾名] 去了 [栏目名] 的播客。
[嘉宾名] [2-3句话介绍嘉宾背景，用具体数据]。
这期播客总共录了 [时长]，[嘉宾名] 谈到了 [N] 个有趣的观点：
1、[观点]。[逻辑推理]
2、[观点]。[逻辑推理]
...（共 10-15 条）
---
# 精华片段
[长文内容 - Style B 对话式访谈格式]
---
[结束语]
开场介绍模板（新格式）：
# 0130：Peter Steinberger X The Pragmatic Engineer：一天600次提交，代码比以前更好
今天看到 Peter Steinberger 去了 The Pragmatic Engineer 的播客。
Peter Steinberger 创建了 PSPDF kit——一个被超过 10 亿设备使用的 PDF 框架，后来经历严重职业倦怠卖掉股份消失了 3 年。2024 年回归后，他用完全不同的方式创建了 Clawdbot，一周从 100 星涨到 3300 星。
这期播客总共录了将近两小时，Peter 谈到了 11 个有趣的观点：
观点列表示例：
1、AI 应用创业者不会相信 AGI。逻辑很简单，如果真信，就不应该做 AI 应用创业。AGI 如果存在，创业就只剩一件事：去做有机会达成 AGI 的模型。
2、创业的产品定位，关键点之一是：要做工作流的上游。上游的产品，不容易被下游的产品吃掉，反过来，发展到一定阶段，上游可以做下游的事。
3、Code Reviews 已死。对 prompts 的兴趣比代码更大，PR 应该叫"Prompt Requests"。因为 prompt 给的信号更高——你是怎么得到这个解决方案的？问了什么？有多少引导？
结束语模板：
---
[嘉宾名字]凭[具体贡献]，[产生的影响]。
用他的话收个尾："[引用一句有力的话]"。[最后一句个人感受或升华]。
YouTube 链接：[链接]
If only one format was requested, still include opening and closing sections.
Core Principles
Extract Strategically
What to extract:
- Deep, counterintuitive insights - not surface observations:
- Mental models and frameworks that drive decision-making
- Paradoxes and tensions that reveal underlying principles
- Second-order effects and non-obvious consequences
- Patterns that connect specific tactics to strategic outcomes
- Surprising insights that challenge common wisdom
- Practical wisdom with WHY - not just "do X" but "X reveals principle Y"
- Memorable quotes capturing big ideas or philosophical stances
- Turning points and paradigm shifts
- Human moments (vulnerability, humor, authenticity) that reveal character
- Contextual ironies (what they didn't know then vs. now)
What to avoid:
- Linear summarization without insight
- Including everything (be selective)
- Stating the obvious - if a reasonably informed reader would already know it, dig deeper
- Surface-level descriptions without explaining WHY it matters
- Losing the human voice
- Adding information not in source
- AI-style generic phrasing
- Shallow takeaways - "X did Y" without revealing what principle or framework this demonstrates
Voice & Tone
- Conversational but insightful: Like explaining to a smart friend
- Show, don't tell: Use quotes to prove points
- Respect the source: Don't editorialize or distort
- Find the story: Every piece has a narrative arc
Be Token-Efficient
This skill focuses on creative transformation, not code execution. The writing process happens in-context without requiring scripts.
Resources
references/style-guide.md
Detailed writing guidelines for both short-form and long-form styles, including:
- Structure patterns
- Key characteristics
- Writing principles
- What to avoid
- Extraction strategies
Load this when you need detailed guidance on tone, structure, or style.
references/examples.md
Complete reference examples:
- Short-form example: Boris Cherny's Claude Code workflow
- Long-form example: Manus/Peak Ji interview article
Load this when you need concrete examples of the final output quality and style.
Notes
- Both styles require full comprehension of source material - don't skim
- Short-form emphasizes actionable takeaways
- Long-form emphasizes narrative and character
- Quotes must be accurate and in context
- Works best with content that has inherent narrative or insight
- Can combine with translation if source is in different language
- Ideal for content creators repurposing long content for different platforms