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Self Media Trend Radar

Community
yanhua1010
self-media-trend-radar

安全追踪热点、研究关键词和拆解竞品内容,并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集,不自动互动、发布或使用主账号登录态抓取竞品。

Overview

Publisheryanhua1010
Repositoryself-media-content-workflow
Skill nameself-media-trend-radar
Stars
584
Forks
80
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

    Published by yanhua1010 on GitHub. Read the source before you install it.

Installation

Install the Self Media Trend Radar 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/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar
  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/yanhua1010/self-media-content-workflow.git /tmp/self-media-content-workflow
mkdir -p .claude/skills
cp -r /tmp/self-media-content-workflow/skills/self-media-trend-radar .claude/skills/self-media-trend-radar
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Self Media Trend Radar 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 Self Media Trend Radar 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 Self Media Trend Radar 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.

热点与竞品雷达

目标

识别用户需求、表达结构和时效机会,不复制竞品观点或文案。

数据源优先级

  1. 用户提供的链接、截图、导出文件和素材。
  2. 官方文档、原始发布、论文、公告和作者原帖。
  3. 平台公开搜索、热榜、竞品主页和公开互动数据。
  4. 可信二手资料,用于补充背景,不替代一手事实。

近期产品、人物、价格、版本、新闻和平台规则必须联网核验。技术事实优先使用官方来源。

研究流程

1. 定义研究问题

确认要回答的是热点窗口、关键词需求、竞品结构、账号定位还是内容机会。先限定平台、时间范围和样本数量。

2. 收集有限样本

只收集能回答问题的样本。记录链接、发布时间、标题、内容形态、公开互动和观察备注。不要把一次高表现直接叫作规律。

3. 拆解结构

逐条检查:

  • 标题使用了什么承诺、身份、冲突或信息差。
  • 开头 3 秒或第一屏如何建立停留。
  • 内容如何组织证据、故事、步骤和转折。
  • 封面或首图承担什么任务。
  • 行动、标签、合集和发布时间如何配合目标。
  • 评论区暴露了哪些真实问题和反对意见。

4. 判断机会

区分:

  • 可以直接核验的事实。
  • 多个样本重复出现的模式。
  • 可能由热点、投流或账号体量造成的现象。
  • 用户能加入的一手经验、反证和独立判断。

5. 转成原创选题

每个候选写明:一句话判断、目标受众、时效窗口、一手证据、差异化角度、适合平台、仍缺证据和风险。

输出

交付:

  1. 研究范围和样本说明。
  2. 3 到 5 条结构性发现。
  3. 不能下结论的内容。
  4. 3 到 5 个原创选题。
  5. 最推荐选题和下一步验证动作。

读取 research-safety.md 并遵守账号隔离、只读、控频、遇阻即停和凭证保护规则。

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 Self Media Trend Radar AI skill do?

安全追踪热点、研究关键词和拆解竞品内容,并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集,不自动互动、发布或使用主账号登录态抓取竞品。

Why use Self Media Trend Radar on TypingMind?

Because you install it once and use it with any model. Self Media Trend Radar 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 Self Media Trend Radar in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yanhua1010/self-media-content-workflow/tree/main/skills/self-media-trend-radar. 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 Self Media Trend Radar?

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 Self Media Trend Radar?

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

Is the Self Media Trend Radar AI skill free?

Yes. It is published on GitHub by yanhua1010 under the MIT 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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