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Content Analyzer

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JimLiu
content-analyzer

素材深度分析技能。当用户提供文章、推文、视频文稿等内容并要求分析时使用。 适用于:(1) 理解素材核心观点和论证逻辑,(2) 批判性评估内容,(3) 为后续写作提取可用素材, (4) 分析内容的传播价值。支持长文、短内容(推文/帖子)、视频文稿等多种内容类型。

Overview

PublisherJimLiu
RepositoryIllustrated-Agent-Skills
Skill namecontent-analyzer
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 Content Analyzer 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/content-analyzer
  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/content-analyzer .claude/skills/content-analyzer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Content Analyzer 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 Content Analyzer 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 Content Analyzer 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.

素材分析技能

分析流程

第一步:识别内容类型

根据素材特征判断类型,调整分析侧重:

类型特征分析侧重
长文>1000 字,结构完整完整走全部分析维度
短内容推文、帖子、<500 字侧重信息密度、传播点、核心洞察
视频文稿口语化、有时间标记关注节奏、口语表达、关键时刻

第二步:输出快速摘要

在详细分析前,先输出 3-5 句核心摘要:

  • 这是什么内容?
  • 核心观点是什么?
  • 最有价值的点是什么?

分析框架

按以下维度逐层分析。若信息不足,说明原因。

一、核心内容

  1. 核心论点:用一句话概括
  2. 关键概念:作者用了哪些关键概念?如何定义?
  3. 文章结构:论证如何展开?各部分如何衔接?
  4. 证据支撑:有哪些具体案例、数据或权威引用?

二、背景语境

  1. 作者身份:作者是谁?背景、立场是什么?
  2. 写作背景:在什么背景下写的?回应什么现象或争论?
  3. 写作目的:想解决什么问题?想影响谁?
  4. 底层假设:有哪些没说出来的前提?

三、批判性审视

  1. 可能反驳:主要的反对意见可能是什么?
  2. 论证漏洞:有没有漏洞、跳跃或偏颇之处?
  3. 适用边界:观点在什么情况下成立?什么情况下不成立?
  4. 回避问题:作者有没有刻意回避什么问题?

四、价值提取

  1. 思考框架:有什么可复用的思考框架或方法论?
  2. 核心启发:对目标读者最大的启发是什么?
  3. 认知改变:可能改变读者的什么认知?
  4. 内在张力:素材中有哪些可利用的对立或反差?
    • 能力反差(专家 vs 普通人)
    • 认知反差(预期 vs 现实)
    • 数字对比(具体的势能差)
  5. 可用情境:这个话题适合什么场景切入?
    • 具体场景、具体角色、具体时刻

五、叙事技巧(可选)

仅在用户要求或内容写作技巧突出时分析:

  1. 开头策略:如何开头?能否快速抓住注意力?
  2. 信任建立:如何拉近与读者距离?
  3. 情绪设计:共鸣点、好奇点、惊喜点在哪?
  4. 值得学习:有什么可复用的写作技巧?

联网检索

需要检索

  • 引用具体数据且存疑
  • 引用名人名言且对论证关键
  • 涉及重大争议事件
  • 作者是公众人物,背景影响理解
  • 对关键事实不确定

不需要检索

  • 纯观点性质,不涉及可核查事实
  • 数据/事件是常识
  • 虚构作品或个人随笔

检索原则

  • 存疑就检索,不猜测不编造
  • 核查结果标注:[事实核查:原文称"XXX",经查证为"YYY"]
  • 没搜到就说"未找到相关信息"

执行要求

  • 逐一回答每个问题,不跳过
  • 回答要具体,引用原文佐证
  • 避免空泛概括
  • 信息不足时明确说明原因
  • 短内容可精简维度二、三,聚焦核心洞察和传播价值
  • 开始分析前先评估:是否包含需要核查的事实性声明?

输出格式

快速摘要

[3-5 句核心摘要]

一、核心内容

...

二、背景语境

...

三、批判性审视

...

四、价值提取

...

五、叙事技巧(如适用)

...

结果保存

分析完成后保存为 analysis.md,文件开头添加:


source: [原素材文件名] analyzed_at: YYYY-MM-DD HH:mm content_type: [长文/短内容/视频文稿]

Frequently asked questions

What does the Content Analyzer AI skill do?

素材深度分析技能。当用户提供文章、推文、视频文稿等内容并要求分析时使用。 适用于:(1) 理解素材核心观点和论证逻辑,(2) 批判性评估内容,(3) 为后续写作提取可用素材, (4) 分析内容的传播价值。支持长文、短内容(推文/帖子)、视频文稿等多种内容类型。

Why use Content Analyzer on TypingMind?

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

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

Which AI models can use Content Analyzer?

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 Content Analyzer?

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

Is the Content Analyzer 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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