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Sdt

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StopDisTrain
sdt

SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt-* 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。 English: Main entry point for the SDT content-production toolkit. Use when the user is unsure which sdt-* skill to choose, wants a single step such as a title or hook, or wants an end-to-end workflow from account research to publishing.

Overview

PublisherStopDisTrain
Repositorysdt-skills
Skill namesdt
Stars
283
Forks
0
Bundled files
4
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.

  • 4 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 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
  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 .claude/skills/sdt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sdt 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 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 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:内容生产系统

把账号事实、公开内容证据和 SDT 自有方法组合成可追溯的内容工具箱。每个 sdt-* 都是独立 Skill;总入口只负责识别当前任务和组织必要衔接。

默认行为:单步骤优先

  1. 读取当前对话,识别用户此刻要的一个交付。
  2. 能直接确定模块时,只执行该模块,不要求补做上游全流程。
  3. 只索取完成本步骤不可缺少的信息;不要为了“流程完整”索取无关材料。
  4. 用户说“只要标题”“只检查开头”“只帮我找选题”时,在对应结果交付后停止。
  5. 只有用户明确说“完整生产、从头到尾、整套做完”时,才进入完整生产线。

读 references/module-map.md 选择模块。

核心规则

  1. 需要第一人称代写或账号适配时先确认账号事实;纯标题公式、通用质检等单项任务不强制建完整档案。
  2. 先保留来源证据,再讨论为什么火。正式对标视频的可见点赞数必须大于等于 3,000,但不可用这一绝对值代替相对表现判定。
  3. 迁移传播机制,不搬运原句、事实、人物经历或独特资源。
  4. 内容即使删除产品信息也必须值得看;产品只作为自然落点。
  5. 任何数字、经历、客户案例和结果承诺都必须能追溯到来源。
  6. 标题和开头必须在正文方向确定后制作。
  7. 所有模块使用 SDT 自有规则,不依赖其他技能才能运行。

运行模式

  • 单项任务:默认模式,只运行标题、开头、封面、检索、选题、诊断或归档中的一个。
  • 完整生产:仅在用户明确要求时,从目标账号和研究范围开始,交付一套可发布内容。
  • 选题研究:停在选题池与评分,不写正文。
  • 单项生产:标题、封面、开头、逐字稿等已有上游材料时单独处理。
  • 复盘沉淀:把发布数据与结论写回内容资产系统。

完整生产线(仅显式触发)

按以下闸门顺序执行。读 references/pipeline.md 获取每一阶段输入、输出和退回条件。

  1. 使用 sdt-account 建立账号档案。
  2. 使用 sdt-research 获取账号、笔记、标题、封面和可见指标。
  3. 使用 sdt-benchmark 筛出垂直、邻近、跨域三类样本。
  4. 使用 sdt-spread 提炼爆款的承重传播机制。
  5. 使用 sdt-topic 生成候选、建立目标账号桥梁并评分。
  6. 用户只要求选题研究时到此停止;明确要求成稿时继续使用 sdt-content。
  7. 使用 sdt-xhs-title、sdt-cover 和 sdt-hook 制作包装。
  8. 使用 sdt-script-flow、sdt-resonate、sdt-ai-check 依次质检;只修复对应问题,不偷换主题。
  9. 需要公众号版本时使用 sdt-wechat-html 生成发布文件。
  10. 使用 sdt-content-system 保存来源、版本、表现和复盘。

独立调用规则

  • 用户可直接调用任意 sdt-*,无需先调用 sdt。
  • 总入口只传递当前模块真正需要的上下文。
  • 某模块发现根本问题属于另一模块时,先交付本步骤能确定的结论,再说明缺少什么;不要自行启动长链。
  • 标题最低输入是一个主题或一段正文;开头最低输入是正文或完整内容结构;跨域选题最低输入是目标账号简档和一个来源样本。
  • 完整流程中的中间产物使用统一字段,单项任务则允许轻量输出。

统一交付

完整生产至少交付:

  • 目标账号与本次内容目的
  • 来源证据表
  • 原始爆款机制
  • 迁移桥梁与风险
  • 选题评分
  • 最终标题、封面、开头、正文或逐字稿
  • 三类质检结果与修改说明
  • 待发布假设和发布后应回填的指标

使用 assets/production-brief.md 作为交付骨架。

停止条件

  • 无法确认目标账号,停止生产并只索取账号链接或档案。
  • 检索遇到验证码、登录过期、限流或空响应,停止自动重试并报告。
  • 来源内容缺少可核对指标,标为“灵感样本”,不得标为“低粉爆款”。
  • 迁移必须伪造目标人物经历或专业资格,淘汰选题。
  • 数据或健康、法律、金融主张无法验证,删除精确结论或补充可靠来源。

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 AI skill do?

SDT 内容生产工具箱的总入口:根据当前任务选择最合适的 sdt-* 模块,既能完成标题、开头等单一步骤,也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill,或希望一站式完成内容生产时使用。 English: Main entry point for the SDT content-production toolkit. Use when the user is unsure which sdt-* skill to choose, wants a single step such as a title or hook, or wants an end-to-end workflow from account research to publishing.

Why use Sdt on TypingMind?

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

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

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?

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

Is the Sdt 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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