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Store Module Architecture

OrganizationPopular
TencentBlueKing
store-module-architecture

处理 BK-CI 研发商店中的插件、模板、镜像等组件发布、审核、安装、统计和扩展点机制时使用。当用户提到商店组件上架、插件发布、模板分发、安装升级或市场能力时优先使用。

Overview

PublisherTencentBlueKing
Repositorybk-ci
Skill namestore-module-architecture
Stars
2.5K
Forks
524
Bundled files
2
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 TencentBlueKing on GitHub. Read the source before you install it.

Installation

Install the Store Module Architecture 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.
  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/TencentBlueKing/bk-ci.git /tmp/bk-ci
mkdir -p .claude/skills
cp -r /tmp/bk-ci/ai/skills/store-module-architecture .claude/skills/store-module-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Store Module Architecture 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 Store Module Architecture 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 Store Module Architecture 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.

Store 模块架构

适用场景

  • 发布或管理插件、模板、镜像等商店组件
  • 处理审核、上架、下架、安装和升级
  • 理解商店中的组件类型、状态流转和统计逻辑
  • 处理商店扩展点、分类标签、成员和评论等能力

不适用场景

  • 只是单个插件执行逻辑,不涉及商店生命周期
  • 只是模板模块内部逻辑,不涉及商店分发
  • 只是镜像运行或制品归档,不涉及商店管理

快速指导

  1. 先判断问题属于哪条主线:
    • 商店基础与组件类型:看 reference/1-store-foundation.md
    • 发布、安装、审核与扩展:看 reference/2-release-install-extension.md
  2. Store 的重点不是组件“怎么执行”,而是组件“怎么进入市场、被审核、被安装和被统计”。
  3. 插件、模板、镜像三类组件共享商店心智,但生命周期细节不同,不要强行一套处理。
  4. 如果问题已经落到模板实例或插件执行本身,接下来切到对应模块 skill。

高信号规则

  • Store 负责组件生命周期与分发,不负责具体执行引擎
  • 组件状态流转通常比单次业务动作更关键
  • 商店能力常常叠加分类、标签、成员、评论、统计和审核
  • 安装和升级问题要同时看来源组件版本与目标项目落地状态

关键陷阱

  • 把插件、模板、镜像完全当成同一种组件处理
  • 只看发布流程,不看审核和下架回收链路
  • 商店安装成功就默认目标项目已经完全可用
  • 只排查组件元数据,不排查安装后的资源同步

延伸阅读

  • 商店基础:reference/1-store-foundation.md
  • 发布与安装:reference/2-release-install-extension.md
  • 涉及模板分发时:再看 pipeline-template-module
  • 涉及插件执行时:再看 pipeline-plugin-development

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 Store Module Architecture AI skill do?

处理 BK-CI 研发商店中的插件、模板、镜像等组件发布、审核、安装、统计和扩展点机制时使用。当用户提到商店组件上架、插件发布、模板分发、安装升级或市场能力时优先使用。

Why use Store Module Architecture on TypingMind?

Because you install it once and use it with any model. Store Module Architecture 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 Store Module Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentBlueKing/bk-ci/tree/master/ai/skills/store-module-architecture. 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 Store Module Architecture?

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 Store Module Architecture?

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

Is the Store Module Architecture AI skill free?

It is published on GitHub by TencentBlueKing. Check the repository for licensing terms. 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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