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Sdt Spread

Community
StopDisTrain
sdt-spread

拆解已筛选爆款内容为什么能传播,分析受众情绪、分享动机、有效立场、首批传播者和可迁移元素。用户问一条内容为什么爆、打中了谁,或哪些机制能跨赛道借鉴时使用。 English: Explain why a selected breakout post spreads by analyzing audience emotions, sharing motives, effective positioning, early sharers, and transferable elements. Use when the user asks why content went viral, whom it resonated with, or what can be adapted across categories.

Overview

PublisherStopDisTrain
Repositorysdt-skills
Skill namesdt-spread
Stars
283
Forks
0
Bundled files
1
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.

  • 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 StopDisTrain on GitHub. Read the source before you install it.

Installation

Install the Sdt Spread 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/StopDisTrain/sdt-skills/tree/main/skills/sdt-spread
  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/StopDisTrain/sdt-skills.git /tmp/sdt-skills
mkdir -p .claude/skills
cp -r /tmp/sdt-skills/skills/sdt-spread .claude/skills/sdt-spread
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sdt Spread 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 Sdt Spread 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 Sdt Spread 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.

SDT 爆款机制

用五个传播维度分析样本,再把结果压缩成一张“迁移机制卡”。

五个传播维度

  1. 沉默解除:它替哪群人说出了平时不便公开表达的话?
  2. 使用满足:观看或转发满足身份确认、情绪宣泄、社交资本还是信息价值?
  3. 立场框架:它站在谁的一边,以什么角度降低受众防御?
  4. 首批传播者:最先分享的人是谁,他们想借内容表达什么?
  5. 信念结构:它确认受众哪个旧信念,又挑战哪项具体行为?

迁移机制卡

必须区分:

  • 表层主题:内容字面讲什么
  • 沉默情绪:受众憋着什么
  • 满足类型:身份、宣泄、社交资本或信息价值
  • 有效立场:站在谁那边,避免什么说教位置
  • 首批传播者:谁最可能转发及其动机
  • 已有信念:内容确认了什么
  • 行为挑战:内容要求受众重新看待什么
  • 承重杠杆:删掉后传播力会塌的一个结构
  • 可迁移机制:能带到其他账号的结构
  • 不可迁移表面:原作者独有经历、措辞、身份、场景和事实

规则

  • 每条判断要能指向原内容和上述具体维度。
  • 不把“反差、共鸣、情绪价值”当作最终解释,必须写清具体反差、具体情绪和具体人群。
  • 不预测一定会爆;输出的是可验证假设。
  • 同一批样本完成后,合并相同机制并标出少数异质机制,避免 20 条样本得到 20 个同义标签。

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 Sdt Spread AI skill do?

拆解已筛选爆款内容为什么能传播,分析受众情绪、分享动机、有效立场、首批传播者和可迁移元素。用户问一条内容为什么爆、打中了谁,或哪些机制能跨赛道借鉴时使用。 English: Explain why a selected breakout post spreads by analyzing audience emotions, sharing motives, effective positioning, early sharers, and transferable elements. Use when the user asks why content went viral, whom it resonated with, or what can be adapted across categories.

Why use Sdt Spread on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/StopDisTrain/sdt-skills/tree/main/skills/sdt-spread. 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 Sdt Spread?

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 Sdt Spread?

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

Is the Sdt Spread AI skill free?

Yes. It is published on GitHub by StopDisTrain 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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