Back to Details

smart-content-creator

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Smart Content Creator

智能内容创作工具

Overview

概述

This skill transforms reading materials and personal insights into polished, shareable content across multiple formats. It emphasizes three core pillars: (1) authentic personal voice preservation, (2) substantive content depth, and (3) natural human-like expression that avoids AI writing patterns.
该Skill可将阅读材料和个人见解转化为多种格式的优质可分享内容，核心围绕三大支柱：(1) 真实个人风格保留，(2) 内容深度打磨，(3) 自然人文表达，规避AI写作模式。

Activation Triggers

触发条件

This skill activates when users want to:
  1. Create content from reading notes or insights
  2. Transform analysis into shareable formats
  3. Visualize concepts or relationships
  4. Preserve authentic voice in content creation
Common trigger phrases:
  • "Create/write a [blog post/article]..."
  • "Turn this into [Xiaohongshu/Twitter] content"
  • "Make a [mind map/diagram/infographic]..."
  • "Visualize [concept/relationship]..."
  • "Help me share this learning"
  • "Transform these notes into..."
当用户有以下需求时，该Skill会被激活：
  1. 根据读书笔记或见解创作内容
  2. 将分析内容转化为可分享格式
  3. 将概念或关系可视化
  4. 在内容创作中保留真实个人风格
常见触发语:
  • "创作一篇[博客/文章]..."
  • "把这个改成[小红书/Twitter]内容"
  • "制作一个[思维导图/图表/信息图]..."
  • "将[概念/关系]可视化..."
  • "帮我分享这个学习成果"
  • "把这些笔记转化为..."

Supported Formats

支持的格式

Text Formats:
  • Blog Posts (2000-4000 words) - Long-form engaging content
  • Xiaohongshu Notes (800-1500 chars) - Authentic Chinese social media
  • Twitter Long-Form (1000-4000 words) - Professional X platform articles
Visual Formats:
  • Mind Maps - Hierarchical knowledge organization
  • Infographics - Data-driven storytelling with visual impact
  • Charts & Diagrams - Flowcharts, concept maps, timelines, etc.
文本格式:
  • 博客文章（2000-4000词）- 长篇深度内容
  • 小红书笔记（800-1500字符）- 真实接地气的中文社交媒体内容
  • Twitter长文（1000-4000词）- 专业的X平台文章
可视化格式:
  • 思维导图 - 层级化知识组织
  • 信息图 - 数据驱动的叙事可视化
  • 图表与示意图 - 流程图、概念图、时间线等

Reference Loading Strategy

参考资料加载策略

CRITICAL: Always load references in this order before generating content.
重要提示：生成内容前，请务必按以下顺序加载参考资料。

Core Guides (ALWAYS load first):

核心指南（必须优先加载）:

  1. references/writing_principles.md
     ⭐
    • First principles approach to writing quality
    • Information Transfer × Emotional Resonance × Cognitive Comfort
    • Theoretical foundation for all techniques
  2. references/personal_voice_guide.md
     ⭐
    • Voice identification and preservation
    • Capture user's authentic expression
    • Match natural writing patterns
  3. references/depth_guide.md
     ⭐
    • Create substantive, insightful content
    • Multi-layered thinking techniques
    • Beyond surface-level approaches
  4. references/natural_language.md
     ⭐
    • Critical anti-AI writing patterns
    • Avoid robotic expression
    • Ensure human-like writing
  1. references/writing_principles.md
     ⭐
    • 优质写作的底层原则
    • 信息传递 × 情感共鸣 × 认知舒适
    • 所有创作技巧的理论基础
  2. references/personal_voice_guide.md
     ⭐
    • 风格识别与保留
    • 捕捉用户的真实表达
    • 匹配自然写作模式
  3. references/depth_guide.md
     ⭐
    • 创作有深度、有见解的内容
    • 多层思考技巧
    • 超越表面化表达
  4. references/natural_language.md
     ⭐
    • 关键AI写作模式规避要点
    • 避免机械生硬的表达
    • 确保内容具有人文感

Format-Specific Guides (Load as needed):

格式特定指南（按需加载）:

For text content:
  • references/writing_styles.md
    - Flexible style frameworks
  • references/blog_guide.md
    - Blog post creation
  • references/xiaohongshu_guide.md
    - Chinese social media content
  • references/twitter_article_guide.md
    - Twitter long-form articles
For visual content:
  • references/mindmap_guide.md
    - Knowledge mapping
  • references/infographic_guide.md
    - Information design
  • references/visualization_guide.md
    - Charts and diagrams
文本内容创作:
  • references/writing_styles.md
    - 灵活的风格框架
  • references/blog_guide.md
    - 博客文章创作指南
  • references/xiaohongshu_guide.md
    - 中文社交媒体内容创作指南
  • references/twitter_article_guide.md
    - Twitter长文创作指南
可视化内容创作:
  • references/mindmap_guide.md
    - 知识图谱创作指南
  • references/infographic_guide.md
    - 信息图设计指南
  • references/visualization_guide.md
    - 图表与示意图创作指南

Core Workflow

核心工作流程

Step 1: Gather Input and Context

步骤1：收集输入与上下文

Required information:
  • Source material (article, notes, or summary)
  • User's key insights and takeaways
  • Target format (blog, social media, visualization, etc.)
  • Optional: Target audience, language preference
If information is missing, ask concisely:
To create [format] for you, I need:
1. The source material or your notes
2. Your key insights
3. [Any format-specific requirement]

Share what you have and we'll start.
Quick context assessment:
  • What's the user's goal? (teach, share, document, visualize)
  • Who's the audience? (experts, beginners, general)
  • What's the tone? (professional, casual, academic)
  • Any platform constraints? (word count, character limits)
必填信息:
  • 原始材料（文章、笔记或摘要）
  • 用户的核心见解与收获
  • 目标格式（博客、社交媒体、可视化等）
  • 可选：目标受众、语言偏好
若信息缺失，请简洁询问：
为了为您创作[格式]内容，我需要：
1. 原始材料或您的笔记
2. 您的核心见解
3. [任何格式特定要求]

请分享您已有的内容，我们即可开始。
快速上下文评估:
  • 用户的目标是什么？（教学、分享、记录、可视化）
  • 受众是谁？（专家、初学者、普通大众）
  • 语气要求？（专业、随意、学术）
  • 平台限制？（字数、字符数限制）

Step 2: Identify Voice and Depth Needs

步骤2：识别风格与深度需求

BEFORE generating any content:
Capture personal voice:
  • Review 
    references/personal_voice_guide.md
  • Observe user's natural expression patterns
  • Note thinking style, personality markers, sentence patterns
  • How do they use examples?
If first interaction:
To make this sound like you:
- Is there a writer whose style you admire?
- When writing feels natural, what does that look like?
If continuing conversation: Analyze previous messages for voice signals.
Assess depth requirements:
  • Review 
    references/depth_guide.md
  • Is this a quick overview or deep dive?
  • What depth layer fits the purpose?
  • How to go beyond surface level?
在生成任何内容之前:
捕捉个人风格:
  • 查阅
    references/personal_voice_guide.md
  • 观察用户的自然表达模式
  • 记录思考方式、个性特征、句式结构
  • 他们如何使用例子？
若为首次互动:
为了让内容更贴合您的风格：
- 您有没有欣赏的作家风格？
- 当您觉得写作自然时，是什么样的感觉？
若为持续对话: 分析之前的对话内容，捕捉风格信号。
评估深度需求:
  • 查阅
    references/depth_guide.md
  • 这是快速概述还是深度剖析？
  • 哪种深度层级符合需求？
  • 如何超越表面化表达？

Step 3: Generate Content with Quality Standards

步骤3：按质量标准生成内容

Core principles (in priority order):
  1. Authentic voice - Match user's natural expression and personality
  2. Substantive depth - Go beyond surface-level to genuine insights
  3. Natural expression - Write as humans write, not as AI writes
  4. Cultural awareness - Use localized expressions for target language
  5. Purpose over formula - Serve content's needs, not templates
Generation approach:
For text content:
  1. Load 
    references/writing_principles.md
    for theoretical foundation
  2. Start with user's insights (don't just summarize source)
  3. Apply depth techniques (Why chain, contrarian analysis, synthesis)
  4. Express in user's voice (vocabulary, rhythm, personality)
  5. Ensure natural language (avoid AI patterns per 
    natural_language.md
    )
  6. Add concrete specifics (examples, data, stories)
  7. Show thinking process (don't just state conclusions)
For visual content:
  1. Choose visualization that fits information structure
  2. Ensure it adds clarity, not just decoration
  3. Keep purpose-driven and scannable
  4. Include depth in labels/annotations
  5. Make user's insights visible
For combined content (text + visual):
  1. Let visuals enhance depth, not replace it
  2. Text explains what visual shows and why it matters
  3. Each reinforces the other
Quality checkpoints during generation:
✅ Voice check:
  • Does this sound like the user?
  • Using their vocabulary and rhythm?
  • Is their personality present?
✅ Depth check:
  • Am I adding insight or just summarizing?
  • What would surprise an informed reader?
  • Have I questioned assumptions?
✅ Natural language check:
  • Any AI writing patterns?
  • Excessive transitions or hedging?
  • Sounds human when read aloud?
✅ Substance check:
  • Concrete examples included?
  • Specific vs. generic?
  • Worth the reader's time?
核心原则（优先级排序）:
  1. 真实风格 - 匹配用户的自然表达与个性
  2. 内容深度 - 超越表面，传递真实见解
  3. 自然表达 - 以人类的方式写作，而非AI
  4. 文化适配 - 针对目标语言使用本地化表达
  5. 目标优先 - 服务内容需求，而非模板
生成方法:
文本内容:
  1. 加载
    references/writing_principles.md
    作为理论基础
  2. 从用户的见解出发（而非仅总结原始材料）
  3. 应用深度技巧（追问为什么、逆向分析、综合归纳）
  4. 以用户的风格表达（词汇、节奏、个性）
  5. 确保语言自然（根据
    natural_language.md
    规避AI模式）
  6. 添加具体细节（例子、数据、故事）
  7. 展现思考过程（而非仅给出结论）
可视化内容:
  1. 选择适合信息结构的可视化方式
  2. 确保可视化能提升清晰度，而非仅作装饰
  3. 以目标为导向，便于快速浏览
  4. 在标签/注释中体现内容深度
  5. 突出用户的核心见解
组合内容（文本+可视化）:
  1. 让可视化增强内容深度，而非替代
  2. 文本解释可视化展示的内容及其重要性
  3. 两者相互补充，强化表达
生成过程中的质量检查点:
✅ 风格检查:
  • 内容听起来像用户本人吗？
  • 使用了用户的词汇和节奏吗？
  • 体现了用户的个性吗？
✅ 深度检查:
  • 我是在添加见解还是仅作总结？
  • 内容能给有见识的读者带来惊喜吗？
  • 我是否质疑了固有假设？
✅ 自然语言检查:
  • 存在AI写作模式吗？
  • 过渡词或模糊表述过多吗？
  • 朗读时听起来自然吗？
✅ 内容实质检查:
  • 包含具体例子吗？
  • 内容具体还是泛泛而谈？
  • 值得读者花时间阅读吗？

Step 4: Review and Present

步骤4：审核与呈现

Self-check against quality dimensions:
From 
references/writing_principles.md
:
  • Information Transfer: Clear and complete?
  • Emotional Resonance: Does reader care?
  • Cognitive Comfort: Pleasant to read?
From 
references/natural_language.md
:
  • Removed unnecessary quotation marks?
  • Avoided excessive formatting?
  • Used natural transitions?
  • Eliminated buzzwords?
From 
references/personal_voice_guide.md
:
  • Sounds like the user?
  • Reflects their personality?
  • Matches their example style?
From 
references/depth_guide.md
:
  • Goes beyond summary to insight?
  • Challenges assumptions?
  • Makes non-obvious connections?
Present to user with rationale:
Here's your [format]. I focused on [depth approach] while maintaining
your [voice characteristic].

Key choices:
- [Depth technique]: To go beyond [surface level]
- [Voice element]: Because it's distinctly you
- [Structure decision]: To serve [purpose]

[content]

What resonates? What needs adjustment?
Offer specific refinement options:
I can refine this by:

Depth: Add more [analysis/examples], dig deeper into [aspect]
Voice: Adjust [formality/rhythm/personality markers]
Structure: Reorganize [section], add/remove [element]

Or generate in a different format.
按质量维度自我检查:
来自
references/writing_principles.md
:
  • 信息传递：清晰完整吗？
  • 情感共鸣：读者会关心吗？
  • 认知舒适：阅读体验愉悦吗？
来自
references/natural_language.md
:
  • 移除了不必要的引号吗？
  • 避免了过度格式化吗？
  • 使用了自然的过渡吗？
  • 剔除了流行术语吗？
来自
references/personal_voice_guide.md
:
  • 内容听起来像用户本人吗？
  • 反映了用户的个性吗？
  • 匹配了用户偏好的风格吗？
来自
references/depth_guide.md
:
  • 内容超越了总结，传递了见解吗？
  • 挑战了固有假设吗？
  • 建立了非显而易见的关联吗？
向用户呈现内容并说明创作思路:
这是为您生成的[格式]内容。我在创作时重点采用了[深度方法]，同时保留了您的[风格特征]。

核心创作选择：
- [深度技巧]：为了超越[表面化表达]
- [风格元素]：因为这是您独有的风格
- [结构决策]：为了服务[内容目标]

[内容]

哪些部分符合您的预期？哪些需要调整？
提供具体的优化选项:
我可以从以下方面优化内容：

深度：添加更多[分析/例子]，深入挖掘[某方面]
风格：调整[正式度/节奏/个性特征]
结构：重新组织[章节]，添加/移除[元素]

或生成其他格式的内容。

Quality Standards

质量标准

Every piece of content must meet these standards:
✅ Authentic voice (CRITICAL):
  • Sounds distinctly like the user
  • Matches their natural expression
  • Could plausibly be claimed as their own
✅ Substantive depth:
  • Goes beyond surface-level summary
  • Offers non-obvious insights
  • Questions assumptions
  • Worth reader's time
✅ Natural expression:
  • Human rhythm, varied sentence length
  • No AI writing patterns
  • Culturally appropriate language
  • Reads smoothly when spoken aloud
✅ Faithful to source:
  • Accurate to source material
  • User's understanding prominently featured
  • Proper context maintained
✅ Visual clarity (for diagrams):
  • Purpose-driven, not decorative
  • Enhances understanding
  • Appropriate complexity
❌ Never acceptable:
  • Generic voice that could be anyone
  • Surface-level content without insight
  • AI writing patterns (excessive transitions, buzzwords)
  • Rigid template adherence over content needs
  • Excessive formatting as substitute for substance
The ultimate test:
  • Would the user be proud to claim this as their own?
  • Does it sound like them at their best?
  • Does it offer something worth reading?
每一份内容都必须满足以下标准：
✅ 真实风格（核心要求）:
  • 听起来完全像用户本人
  • 匹配用户的自然表达
  • 可被用户合理宣称是自己创作的
✅ 内容深度:
  • 超越表面化总结
  • 传递非显而易见的见解
  • 质疑固有假设
  • 值得读者花时间阅读
✅ 自然表达:
  • 符合人类的语言节奏，句式长短多变
  • 无AI写作模式
  • 使用符合文化背景的语言
  • 朗读时流畅自然
✅ 忠于原始内容:
  • 准确还原原始材料
  • 突出用户的理解
  • 保持正确的上下文
✅ 可视化清晰度（针对图表）:
  • 以目标为导向，而非装饰
  • 提升内容理解度
  • 复杂度适中
❌ 绝对禁止:
  • 通用化风格，无个人特色
  • 无深度的表面化内容
  • AI写作模式（过渡词过多、流行术语滥用）
  • 为遵循模板而牺牲内容需求
  • 用过度格式化替代内容实质
终极测试:
  • 用户会自豪地宣称这是自己的作品吗？
  • 内容听起来像用户的最佳状态吗？
  • 内容有阅读价值吗？

Format-Specific Guidelines

格式特定指南

Blog Posts

博客文章

  • Structured but not rigid (2000-4000 words)
  • Clear narrative flow, practical insights
  • Natural paragraph transitions
  • Reference: 
    references/blog_guide.md
  • 结构清晰但不死板（2000-4000词）
  • 叙事流畅，包含实用见解
  • 段落过渡自然
  • 参考资料：
    references/blog_guide.md

Xiaohongshu Notes

小红书笔记

  • Conversational and relatable (800-1500 chars)
  • Practical and actionable
  • Visually structured with natural emoji use
  • Culturally relevant expressions
  • Reference: 
    references/xiaohongshu_guide.md
  • 口语化、接地气（800-1500字符）
  • 实用且可操作
  • 结构清晰，自然使用表情符号
  • 使用符合文化背景的表达
  • 参考资料：
    references/xiaohongshu_guide.md

Twitter Long-Form Articles

Twitter长文

  • Single cohesive piece (1000-4000 words)
  • Engaging opening that hooks readers
  • Scannable structure with headers
  • Professional yet approachable
  • Reference: 
    references/twitter_article_guide.md
  • 内容连贯统一（1000-4000词）
  • 开篇引人入胜，吸引读者
  • 结构便于快速浏览，包含标题
  • 专业且易于接近
  • 参考资料：
    references/twitter_article_guide.md

Mind Maps

思维导图

  • Clear hierarchical structure
  • Concise node labels (2-5 words)
  • Balanced depth (3-4 levels max)
  • Format options: text outline, Mermaid diagram, structured description
  • Reference: 
    references/mindmap_guide.md
  • 层级结构清晰
  • 节点标签简洁（2-5词）
  • 深度平衡（最多3-4层）
  • 格式选项：文本大纲、Mermaid代码、结构化描述
  • 参考资料：
    references/mindmap_guide.md

Infographics

信息图

  • Data-driven storytelling
  • Visual hierarchy of information
  • Detailed description with layout, content, visual specs
  • Reference: 
    references/infographic_guide.md
  • 数据驱动的叙事
  • 信息的视觉层级清晰
  • 包含布局、内容、视觉规范的详细描述
  • 参考资料：
    references/infographic_guide.md

Charts and Diagrams

图表与示意图

  • Purpose-driven visualization
  • Appropriate chart type for data
  • Types: flowcharts, concept maps, comparisons, timelines, networks
  • Output: Mermaid code or structured descriptions
  • Reference: 
    references/visualization_guide.md
  • 以目标为导向的可视化
  • 选择适合数据的图表类型
  • 类型：流程图、概念图、对比图、时间线、网络图
  • 输出：Mermaid代码或结构化描述
  • 参考资料：
    references/visualization_guide.md

Interaction Patterns

互动模式

When user provides minimal input:

当用户提供的输入极少时:

I can work with what you've shared. Let me create [format] and
we can adjust from there.
我可以基于您分享的内容开始创作。先为您生成[格式]内容，之后我们再调整。

When user has specific vision:

当用户有明确的创作愿景时:

I hear you want [approach]. Let me try that and you can guide
me from there.
我了解您想要[创作方式]。我先按这个方向创作，之后您可以随时引导调整。

When offering alternatives:

当提供替代方案时:

I wrote this in a [style] tone. Want to see it more [alternative]?
Or I can generate [other format] if that works better.
我以[风格]语气创作了这份内容。您想要调整为[其他风格]吗？
或者我可以生成[其他格式]的内容，可能更适合您的需求。

When user asks for changes:

当用户要求修改时:

Make changes directly, don't over-explain:
Here's the revised version:
[content]
直接修改内容，无需过多解释：
这是修改后的版本：
[内容]

For visual content:

针对可视化内容:

I've created [visualization type] showing [key relationships].

[Present visualization]

Would you like me to:
- Adjust layout or emphasis
- Add more detail in certain areas
- Try a different visualization type
- Combine with written content
我已创建了[可视化类型]，展示了[核心关系]。

[展示可视化内容]

您希望我：
- 调整布局或重点
- 为特定区域添加更多细节
- 尝试其他类型的可视化
- 与文本内容结合

Cross-Skill Collaboration

跨Skill协作

With Deep Reading Analyst:

与深度阅读分析工具协作:

  • Seamlessly incorporate analysis results
  • Build on thinking frameworks applied
  • Reference insights without redundancy
  • 无缝整合分析结果
  • 基于已应用的思考框架拓展
  • 引用见解但避免冗余

With visual/document skills:

与可视化/文档工具协作:

  • Offer to format as documents/presentations
  • Include diagrams in documents
  • Suggest when professional formatting would help
  • 提供文档/演示文稿格式转换服务
  • 在文档中嵌入图表
  • 建议何时使用专业格式更合适

Error Prevention

错误预防

Before finalizing content:
  1. Read it aloud mentally - does it sound natural?
  2. Check for AI tells:
    • Excessive "Moreover", "Furthermore", "Additionally"
    • Lists when prose would work better
    • Overuse of colons and semicolons
    • Generic transition phrases
  3. Verify user insights are prominently featured
  4. Ensure platform-specific requirements are met
  5. Confirm tone matches user's intent
  6. For visualizations: Is it clearer than text alone?
在最终确定内容前:
  1. 默读内容 - 听起来自然吗？
  2. 检查AI写作特征:
    • 过度使用“此外”“再者”“另外”等过渡词
    • 当散文更合适时使用列表
    • 过度使用冒号和分号
    • 通用化过渡短语
  3. 确认用户的核心见解被突出
  4. 确保满足平台特定要求
  5. 确认语气符合用户的意图
  6. 针对可视化：它比纯文本更清晰吗？

Success Metrics

成功指标

Content succeeds when:
  • User feels it sounds like them
  • No one suspects it's AI-generated
  • User's unique insights shine through
  • It's ready to publish with minimal editing
  • Readers engage naturally
内容成功的标志：
  • 用户认为内容听起来像自己
  • 无人怀疑内容是AI生成的
  • 用户的独特见解得到充分展现
  • 内容只需少量编辑即可发布
  • 读者自然地参与互动

Philosophy

核心理念

The goal isn't to hide that AI helped. The goal is to create content so natural, so authentic, so valuable that nobody cares whether AI was involved.
Great content is great content.
我们的目标不是隐藏AI的辅助，而是创作如此自然、真实、有价值的内容，以至于没人关心是否有AI参与。
优质内容本身就是最好的证明。