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Self Media Content Delivery

Community
yanhua1010
self-media-content-delivery

将自媒体创作里程碑保存成文件,管理版本、核验路径、生成完整发布包并更新内容索引。用于保存平台第一版完整成稿、多平台合集、短视频脚本、分镜、定稿、发布包和复盘报告,或用户说“保存一下、整理交付、归档、生成发布清单”时。标题微调、删一句和临时候选不单独保存新版本。

Overview

Publisheryanhua1010
Repositoryself-media-content-workflow
Skill nameself-media-content-delivery
Stars
584
Forks
80
Bundled files
3
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.

  • 3 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 Content Delivery 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-content-delivery
  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-content-delivery .claude/skills/self-media-content-delivery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Self Media Content Delivery 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 Content Delivery 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 Content Delivery 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.

内容交付

核心纪律

  1. 里程碑产出保存成文件。
  2. 保存后回读验证文件存在且非空。
  3. 只向用户交付验证过的路径。
  4. 保留历史版本,不静默覆盖定稿。
  5. 遵守当前项目的文件类型、目录和命名规则。

确定输出根目录

按以下顺序选择:

  1. 用户明确指定的路径。
  2. 项目说明中已有的内容目录。
  3. 当前工作区下的 self-media/。

目录不存在时,只创建当前交付需要的目录。不要在项目根目录散落文件。

何时保存

保存:

  • 某平台第一版完整成稿。
  • 多平台完整合集。
  • 分镜、口播、字幕或拍摄方案。
  • 用户确认的定稿。
  • 发布包和数据复盘。
  • 用户明确要求保存的内容。

不单独保存:

  • 几个候选标题。
  • 单句行动或标签调整。
  • 尚未形成完整产物的聊天片段。

版本规则

  • 记录草稿、修改稿、定稿和发布版的阶段。
  • 文件名采用项目现有规范。没有规范时使用 YYYY-MM-DD-{platform}-{slug}-vN.md。
  • 新里程碑递增版本号。用户明确要求覆盖时才覆盖。
  • 在内容注册表中记录任务、平台、原稿、终稿、素材、状态、链接和复盘。

可使用 content-registry-template.md。

交付检查

完整读取 delivery-checklists.md,按平台检查标题、正文、摘要、封面、素材顺序、标签、商业披露和发布字段。

保存后执行:

  1. 回读文件。
  2. 确认大小大于 0。
  3. 检查文件名、版本和目录。
  4. 检查文中素材路径存在。
  5. 报告已验证路径和降级项。

用户沟通

使用自然表达:

  • “已保存成文件”,不说“已落盘”。
  • “已放进作品库”,不说“已登记索引”。
  • “这是第 2 版”,不暴露内部阶段字段。
  • “发布需要的素材”,不堆叠内部交付术语。

输出

返回:成品路径、版本、包含内容、验证结果、缺失项和下一步唯一动作。

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 Content Delivery AI skill do?

将自媒体创作里程碑保存成文件,管理版本、核验路径、生成完整发布包并更新内容索引。用于保存平台第一版完整成稿、多平台合集、短视频脚本、分镜、定稿、发布包和复盘报告,或用户说“保存一下、整理交付、归档、生成发布清单”时。标题微调、删一句和临时候选不单独保存新版本。

Why use Self Media Content Delivery on TypingMind?

Because you install it once and use it with any model. Self Media Content Delivery 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 Content Delivery 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-content-delivery. 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 Content Delivery?

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 Content Delivery?

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

Is the Self Media Content Delivery 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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