Artifactory Module Architecture logo

Artifactory Module Architecture

OrganizationPopular
TencentBlueKing
artifactory-module-architecture

处理 BK-CI 制品上传下载、制品元数据、BkRepo 或磁盘后端存储、文件任务和清理链路时使用。当用户提到构建产物、制品归档、下载令牌、报告文件、BkRepo 集成或制品清理时优先使用。

Overview

PublisherTencentBlueKing
Repositorybk-ci
Skill nameartifactory-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 Artifactory 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/artifactory-module-architecture .claude/skills/artifactory-module-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Artifactory 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 Artifactory 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 Artifactory 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.

Artifactory 模块架构

适用场景

  • 上传、下载、归档构建产物
  • 管理文件元数据、文件任务和下载令牌
  • 切换或排查 BkRepo / 磁盘存储后端
  • 处理报告文件、自定义目录和流水线产物路径
  • 排查构建完成后的制品后处理

不适用场景

  • 只是商店组件发布问题,不涉及制品存储
  • 只是普通文件路径拼接,不涉及制品语义和存储后端
  • 只是流水线执行问题,不涉及产物归档或下载

快速指导

  1. 先判断问题属于哪条主线:
    • 存储模型与路径:看 reference/1-artifact-storage.md
    • BkRepo、任务与扩展:看 reference/2-bkrepo-task-extension.md
  2. Artifactory 负责“文件和制品如何被存储与访问”,不是执行引擎本身。
  3. 如果问题表现为上传成功但文件找不到,先区分是:
    • 元数据没落库
    • 后端没存成功
    • 路径规则错了
    • 下载令牌或权限错了
  4. 存储后端切换或双实现问题,优先确认实际走的是 BkRepo 还是本地磁盘实现。

高信号规则

  • PROJECT_CODE / PROJECT_ID 通常仍按项目英文标识理解
  • 文件元数据、文件任务和真实后端存储不是同一层
  • BkRepo 与 Disk 是两套后端实现,排查时要先确认命中的实现类
  • 构建完成后的异步处理也会影响制品最终可见性

关键陷阱

  • 只看文件存储后端,不看元数据和任务状态
  • 路径规则变了却没同步影响下载、报告或自定义目录逻辑
  • 只验证上传接口成功,不验证后续查询、下载和清理链路
  • 把商店归档和普通流水线制品归档混成同一问题

延伸阅读

  • 存储基础:reference/1-artifact-storage.md
  • BkRepo 与任务:reference/2-bkrepo-task-extension.md
  • 涉及项目语义时:再看 project-module-architecture
  • 涉及商店归档时:再看 store-module-architecture

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 Artifactory Module Architecture AI skill do?

处理 BK-CI 制品上传下载、制品元数据、BkRepo 或磁盘后端存储、文件任务和清理链路时使用。当用户提到构建产物、制品归档、下载令牌、报告文件、BkRepo 集成或制品清理时优先使用。

Why use Artifactory Module Architecture on TypingMind?

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

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

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

Is the Artifactory 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇