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Skill Article Outline

OrganizationPopular
ZJU-REAL
skill-article-outline

生成长文大纲:基于搜索分析生成 H2/H3 标题结构、段落字数目标、图表位置和 FAQ 规划,适用于公众号文章、知乎专栏、博客。 当用户说"文章大纲""长文结构""公众号大纲""知乎回答框架""写作提纲""文章框架""H2/H3 结构"时使用。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-article-outline
Stars
1.2K
Forks
175
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Article Outline AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-article-outline .claude/skills/skill-article-outline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Article Outline in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Article Outline on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Article Outline is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

长文大纲生成

基于搜索分析,生成结构化长文大纲(标题层级、段落字数、图表位置、FAQ),适用于微信公众号、知乎专栏、博客等平台。

输入

用户 prompt 中提供:

  • 主题或目标关键词(必填)
  • 目标关键词 — 要优化的精确短语(若与主题不同)
  • 搜索意图 — 科普/商业/教程(可选,未提供则根据上下文推断)
  • 目标平台 — 公众号/知乎/博客(可选,有 Profile 时自动识别)

输出

Markdown 大纲文件,包含:标题建议、目标参数、H2/H3 层级结构(含段落字数目标)、图表位置标记、FAQ 规划、内容差异化分析。

保存至 outputs/文章主题/outline.md

执行步骤

1. 主题与意图确认

从用户输入中提取:

  1. 主题或目标关键词(必填)
  2. 目标关键词 — 要排名/覆盖的精确短语(若与主题不同)
  3. 搜索意图 — 科普、商业、教程

仅提供主题时,根据上下文推断关键词和意图。

2. 搜索分析

使用 WebSearch 分析目标关键词的前 5 条结果:

  1. 搜索目标关键词
  2. 对每条结果记录:
    • 标题结构 — 覆盖了哪些 H2/H3 话题
    • 内容篇幅 — 大致字数
    • 视觉元素 — 图表、配图、信息图
    • FAQ — 是否有常见问题板块
    • 独特视角 — 各结果的差异化切入点
    • 缺失 — 哪些方面薄弱或遗漏
  3. 对排名前 2-3 的结果使用 WebFetch 提取详细标题结构(搜索摘要不够时)
  4. 汇总共性模式与空白机会

3. 生成大纲

按以下模板生成结构化大纲:

# 大纲:[主题]

## 标题建议
1. [主标题 — 15-25 字,关键词前置,有力度]
2. [备选标题 — 不同切入角度]
3. [备选标题 — 提问式]

## 目标参数
- **核心关键词**:[关键词]
- **搜索意图**:[科普/商业/教程]
- **目标字数**:[X,XXX] 字
- **H2 段落数**:[6-8]
- **目标平台**:[公众号/知乎/博客/通用]

---

## 正文大纲

### H2:[段落标题 — 推荐使用提问式](~400-600 字)
- **开篇要点**:[用什么事实或数据引入这一段?]
- **要点覆盖**:
  - [要点 1]
  - [要点 2]
  - [要点 3]
- **H3:[子段落]**(如有必要)
  - [子段落内容方向]
- **关键数据**:[需要查找什么数据来增强说服力?]
- **图表建议**:[柱状图/折线图/饼图/无] — [可视化什么数据]
- **配图位置**:[是/否] — [建议配图描述]

### H2:[段落标题](~400-600 字)
[... 重复 6-8 个段落 ...]

### FAQ 板块(3-5 题)
1. [来自搜索联想的问题] — [回答方向]
2. [来自搜索联想的问题] — [回答方向]
3. [来自搜索联想的问题] — [回答方向]
4. [来自搜索分析的问题] — [回答方向]

### 结尾(~100-200 字)
- 核心要点总结
- 行动号召方向

---

## 内链规划
- **本文应引用**:[已有内容中可链接的相关文章]
- **应链向本文**:[已有内容中应加链接指向本文的文章]

## 内容差异化
1. [竞品普遍遗漏而本文应覆盖的内容]
2. [可纳入的独特视角或原创观点]
3. [格式优势 — 更好的可视化、更深的覆盖、更清晰的结构]

标题生成原则:

  • 60-70% 的 H2 标题使用提问式
  • 每个 H2 段落都有明确的"开篇要点"提示
  • H3 子段落仅在话题确实需要细分时使用
  • 各段字数目标之和应接近总目标字数
  • 图表类型建议应多样化(避免重复同一类型)
  • 配图位置应均匀分布

4. 内容差异化分析

大纲生成后,补充差异化分析:

  1. 列出 3-5 个所有头部竞品都遗漏的话题或视角
  2. 标识可加入原创数据、案例或观点的机会
  3. 指出本文可利用的格式优势(更多图表、更好结构、更深覆盖)

5. 保存

将大纲保存至 outputs/文章主题/outline.mdoutputs/ 目录或子目录不存在时自动创建。

Profile 感知

  • 检测 === EASEL ACCOUNT PROFILE === 标记
  • 有 Profile 时
    • 根据 platform 字段适配平台特征(公众号长文排版惯例、知乎专栏深度偏好、博客 SEO 侧重)
    • 根据 tone / style 字段调整标题风格和用语
    • 根据 audience 字段匹配受众认知水平,调整深度和术语密度
  • 无 Profile 时
    • 生成通用大纲,目标平台 设为 通用
    • 附注"如提供账号 Profile 可获得平台定制化大纲"

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Article Outline AI skill do?

生成长文大纲:基于搜索分析生成 H2/H3 标题结构、段落字数目标、图表位置和 FAQ 规划,适用于公众号文章、知乎专栏、博客。 当用户说"文章大纲""长文结构""公众号大纲""知乎回答框架""写作提纲""文章框架""H2/H3 结构"时使用。

Why use Skill Article Outline on TypingMind?

Because you install it once and use it with any model. Skill Article Outline is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Article Outline in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-article-outline. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Article Outline?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Article Outline?

As many as you like. As long as a model supports skills, you can use Skill Article Outline with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Article Outline AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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