Pipeline Variable Management logo

Pipeline Variable Management

OrganizationPopular
TencentBlueKing
pipeline-variable-management

处理 BK-CI 流水线变量时使用,例如变量生命周期、运行时传递、跨任务更新、字段扩展和 YAML 与内部模型转换。当用户要改变量主链路而不是普通流水线步骤时优先使用。

Overview

PublisherTencentBlueKing
Repositorybk-ci
Skill namepipeline-variable-management
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 Pipeline Variable Management 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/pipeline-variable-management .claude/skills/pipeline-variable-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pipeline Variable Management 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 Pipeline Variable Management 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 Pipeline Variable Management 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.

流水线变量管理

适用场景

  • 理解变量从配置到运行时的完整流转
  • 修改变量初始化、存储、继承或更新逻辑
  • 扩展变量字段、变量类型或模型转换
  • 排查变量传递、作用域或兼容性问题

不适用场景

  • 只是修改流水线模板或 YAML 结构
  • 只是修改插件定义,不涉及变量主链
  • 只是处理普通前端表单展示

快速指导

  1. 这个 skill 关注的是“变量如何定义、落库、传递和演化”,不是一般参数使用说明。
  2. 变量问题通常分成两类:
    • 生命周期与运行时流转:reference/1-lifecycle.md
    • 字段扩展与模型转换:reference/2-extension.md
  3. 排查变量问题时先判断是定义期问题,还是构建运行期问题。
  4. 改字段时要同时看内部模型、YAML 模型、转换器和兼容性。
  5. 如果变量变化影响流水线模型或 YAML 输入输出,再联动看 pipeline-model-architectureyaml-pipeline-transfer

高信号规则

  • 变量既是配置数据,也是运行时状态的一部分
  • 生命周期链路和字段扩展链路经常被混在一起,排查时要先拆开
  • 新字段不是只加模型类,还要考虑转换、前后端和历史数据

关键陷阱

  • 把运行期变量问题误判成模型字段问题
  • 只改一个模型,不改转换器或兼容逻辑
  • 只验证新构建,不验证历史数据和旧流水线

延伸阅读

  • 生命周期与运行时流转:reference/1-lifecycle.md
  • 字段扩展与模型转换:reference/2-extension.md
  • 如果你在改流水线模型:再看 pipeline-model-architecture
  • 如果你在改 YAML 转换:再看 yaml-pipeline-transfer

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 Pipeline Variable Management AI skill do?

处理 BK-CI 流水线变量时使用,例如变量生命周期、运行时传递、跨任务更新、字段扩展和 YAML 与内部模型转换。当用户要改变量主链路而不是普通流水线步骤时优先使用。

Why use Pipeline Variable Management on TypingMind?

Because you install it once and use it with any model. Pipeline Variable Management 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 Pipeline Variable Management in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentBlueKing/bk-ci/tree/master/ai/skills/pipeline-variable-management. 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 Pipeline Variable Management?

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 Pipeline Variable Management?

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

Is the Pipeline Variable Management 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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