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Sdt Content System

Community
StopDisTrain
sdt-content-system

把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。 English: Organize account profiles, research evidence, topic cards, drafts, publishing data, and review findings into reusable long-term content assets. Use to archive production work, build a topic map, reuse past ideas, or maintain a content library.

Overview

PublisherStopDisTrain
Repositorysdt-skills
Skill namesdt-content-system
Stars
283
Forks
0
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 StopDisTrain on GitHub. Read the source before you install it.

Installation

Install the Sdt Content System 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-content-system
  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-content-system .claude/skills/sdt-content-system
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sdt Content System 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 Content System 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 Content System 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 内容资产系统

SDT 的轻量归档可用于每次生产;当素材达到数量和来源门槛时,按本技能的工程规则独立升级为重型内容工程。

轻量归档

每次生产保存:

  • account:账号档案版本
  • sources:来源证据与采集时间
  • mechanisms:传播机制卡
  • topics:候选和评分
  • productions:标题、封面、开头、正文与版本
  • performance:发布链接和可见指标
  • reviews:假设是否成立、可复用规律和失败原因

使用 references/archive-schema.md 的命名和状态字段。原始来源不改写,创作版本使用新文件。

升级门槛

素材达到以下任一规模时,先做重型工程审计:

  • 可处理文本不少于 50 个
  • 或正文不少于 80000 字

并至少覆盖两类来源。不要为少量内容强建重型系统。

审计通过后才建立原始素材副本、内容单元库、主题地图、装配稿、处理状态和去重关系。原目录不改写;先用 3–5 篇样本验证结构,再批量推进。

回填纪律

  • 发布前假设与发布后结论分开。
  • 点赞、收藏、评论、播放和粉丝量写采集时间。
  • 一次爆发不升级为长期规律;至少记录多个同机制样本。
  • 失败稿不删除,标出失败环节,供后续对照。

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 Content System AI skill do?

把账号档案、研究证据、选题卡、成稿、发布数据和复盘结论整理成能长期积累和复用的内容资产。用户要保存生产结果、建立主题地图、复用旧选题或维护长期内容库时使用。 English: Organize account profiles, research evidence, topic cards, drafts, publishing data, and review findings into reusable long-term content assets. Use to archive production work, build a topic map, reuse past ideas, or maintain a content library.

Why use Sdt Content System on TypingMind?

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

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

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 Content System?

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

Is the Sdt Content System 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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