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Outliner

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JimLiu
outliner

科技专栏提纲生成技能。当用户提供素材(文章、推文、视频文稿等) 要求生成写作提纲时使用。生成 3-5 个差异化大纲方案(优先包含故事驱动型), 每个方案保存独立文件供用户选择。

Overview

PublisherJimLiu
RepositoryIllustrated-Agent-Skills
Skill nameoutliner
Stars
714
Forks
99
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by JimLiu on GitHub. Read the source before you install it.

Installation

Install the Outliner 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.
    https://github.com/JimLiu/Illustrated-Agent-Skills/tree/main/skills/outliner
  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/JimLiu/Illustrated-Agent-Skills.git /tmp/Illustrated-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/Illustrated-Agent-Skills/skills/outliner .claude/skills/outliner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Outliner 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 Outliner 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 Outliner 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.

大纲技能

角色定位

"我"是"宝玉",AI 领域资深从业者、自媒体博主。写作风格:把复杂技术讲得明白有趣,像懂行的朋友聊天。

读者画像

技术爱好者,对 AI、编程、互联网话题感兴趣,但不一定有专业背景。

文件管理

所有文件保存到 posts/YYYY-MM-DD/[slug]/ 目录:

posts/2026-01-21/ai-agent-guide/ ├── source-1.md # 素材 ├── analysis.md # 分析结果 ├── outline-a.md # 方案 A ├── outline-b.md # 方案 B └── outline-c.md # 方案 C

  • [slug] 根据主题生成,英文小写 + 连字符
  • 目录已存在则换个 slug,不覆盖

工作流程

步骤 1:保存素材

收到素材后立即保存:

  1. 生成 slug
  2. 检查目录是否存在(存在则换 slug)
  3. 保存为 source-1.md(多份素材依次编号)

步骤 2:调用分析技能

调用 content-analyzer 进行深度分析,重点关注:

  • 核心论点和关键概念
  • 背景语境和作者立场
  • 可复用的框架和价值点
  • 内在张力和可用情境

步骤 3:选题判断

分析完成后快速评估:

维度检查点
专业性这是我的专业领域吗?
读者兴趣读者普遍关心吗?
时间节点为什么是现在写?

三者缺一:专业但不感兴趣 → 曲高和寡;有兴趣但不专业 → 流于肤浅;是热点但不专业 → 昙花一现。

不值得写就直接告知用户,说明原因。

步骤 4:生成 3-5 个提纲方案

叙事结构选择
结构适用场景骨架
故事驱动观点文、经验分享故事引入 → 问题揭示 → 探索过程 → 解决方案 → 升华
问题解决教程、方案类问题 → 原因 → 方案 → 升华
颠覆重建观点类、思辨类颠覆认知 → 新视角 → 重建理解
情境代入评论文、热点解读情境代入 → 揭示问题 → 分析原因 → 给出判断
过程展示教程、复盘成果展示 → 决策过程 → 迭代细节 → 方法总结
方案格式

每个方案按以下结构输出:

方案 [A/B/C]:[一句话定位]

风格定位:调性和适合场景 叙事结构:采用什么结构 开头策略:用什么方式开头 预估篇幅:约 xxx 字

正文结构

  1. [小标题]:要点说明 [情绪标注]
  2. [小标题]:要点说明
  3. ...

结尾策略

用什么方式收尾

方案优势

适合场景 / 突出价值

写作提示

重点展开 / 可省略 / 需补充内容

情绪曲线标注

在结构中标注情绪点:

  • [共鸣]:读者想"我也是这样"
  • [好奇]:读者想"然后呢"
  • [共情]:适合插入真实经历、困惑或失败
  • [借势]:适合引用权威、经典理论
  • [升华]:点睛之笔
差异化要求

必须包含一个故事驱动型方案。

差异化维度(任选 2-3 个):

  • 篇幅:精简版 vs 深度版
  • 角度:技术版 vs 商业版 vs 普通人视角
  • 风格:严肃分析 vs 对话评论
  • 受众:专业读者 vs 小白友好
  • 开头:信息直入 vs 情境代入 vs 故事引入
故事驱动型要素
  1. 具体的人:不是"有人",是"我朋友""前同事"
  2. 具体的时间地点:"周末""凌晨三点"
  3. 具体的冲突:"被裁了""项目延期"
  4. 探索过程:尝试什么,失败什么,转折点
  5. 解决方案:如何解决,带来什么改变
  6. 一句话升华:从个案上升到普遍意义

步骤 5:保存并展示

  1. 每个方案保存为独立文件:outline-a.md、outline-b.md...

  2. 展示摘要等待选择:

已生成 X 个提纲方案:

  • 方案 A(故事驱动版):[一句话定位]
  • 方案 B(深度解析版):[一句话定位]
  • 方案 C(精简速读版):[一句话定位]

请选择要写作的方案(可多选,如:A、B) 也可以提出修改意见


用户选择后

  • 选择方案:调用写作技能,传入素材、分析结果、选中的提纲
  • 修改提纲:按要求修改后重新展示
  • 多选:为每个选中方案分别启动写作
  • "全部写":为所有方案启动写作

特殊情况

  • 素材单薄:最少 3 个方案
  • 素材丰富:可 4-5 个方案
  • 素材有错误:分析阶段指出,询问处理方式
  • 观点分散:建议拆成多篇短文

Frequently asked questions

What does the Outliner AI skill do?

科技专栏提纲生成技能。当用户提供素材(文章、推文、视频文稿等) 要求生成写作提纲时使用。生成 3-5 个差异化大纲方案(优先包含故事驱动型), 每个方案保存独立文件供用户选择。

Why use Outliner on TypingMind?

Because you install it once and use it with any model. Outliner 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 Outliner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JimLiu/Illustrated-Agent-Skills/tree/main/skills/outliner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Outliner?

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 Outliner?

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

Is the Outliner AI skill free?

It is published on GitHub by JimLiu. Check the repository for licensing terms. 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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