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Pipeline Plugin Development

OrganizationPopular
TencentBlueKing
pipeline-plugin-development

开发 BK-CI 流水线插件时使用,例如新增 Atom、编写 `task.json`、定义输入输出、处理多语言运行时、调试和发布插件。当用户要做插件本体而不是执行器或流水线模型时优先使用。

Overview

PublisherTencentBlueKing
Repositorybk-ci
Skill namepipeline-plugin-development
Stars
2.5K
Forks
524
Bundled files
3
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 TencentBlueKing on GitHub. Read the source before you install it.

Installation

Install the Pipeline Plugin Development 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-plugin-development .claude/skills/pipeline-plugin-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pipeline Plugin Development 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 Plugin Development 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 Plugin Development 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.

流水线插件开发

适用场景

  • 新增一个流水线插件
  • 修改 task.json 配置和字段定义
  • 设计插件输入、输出、错误码和敏感字段
  • 选择 Java、Python、NodeJS、Golang 等插件实现方式
  • 调试、测试、发布或排查插件行为

不适用场景

  • 修改 Worker 如何执行插件
  • 修改 Agent 如何拉起 Worker
  • 修改 Dispatch 如何调度构建机
  • 修改流水线模型、YAML 转换或模板体系

快速指导

  1. 这个 skill 关注的是“插件本体怎么定义和交付”,不是“插件如何被执行”。
  2. 先确认你是在开发 Atom,而不是在改执行器链路。
  3. 开发插件时优先看三类信息:
    • 插件基础与目录:reference/1-plugin-foundation.md
    • task.json、输入输出与错误码:reference/2-task-json-io.md
    • 调试、发布与最佳实践:reference/3-debug-publish-practice.md
  4. task.json 是插件契约,字段设计、运行时配置、敏感信息标记都应先在这里定清楚。
  5. 输入输出要以“稳定契约”为目标,不要把临时实现细节暴露给使用者。
  6. 运行时和目标平台要尽量前置明确,避免发布后再补兼容。
  7. 如果问题发生在插件被下载、执行、打日志或归档产物的阶段,通常要切到 worker-module-architecture

高信号规则

  • 插件开发的核心对象是 task.json 和插件执行入口
  • 输入字段、输出变量、错误码属于对使用者可见的契约
  • 多语言只是实现手段,契约稳定性比语言选择更重要
  • 插件发布后会被很多流水线复用,兼容性和向后兼容要优先考虑

关键陷阱

  • 把执行器问题误判成插件问题
  • task.json 塞入过多前端/运行时细节,导致难以维护
  • 忽略敏感字段、默认值和校验规则
  • 先写实现,后补契约,最后导致输入输出不稳定

延伸阅读

  • 插件基础与目录:reference/1-plugin-foundation.md
  • task.json、输入输出与错误码:reference/2-task-json-io.md
  • 调试、发布与最佳实践:reference/3-debug-publish-practice.md
  • 如果问题出在执行阶段:再看 worker-module-architecture
  • 如果问题出在流水线模型:再看 pipeline-model-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 Pipeline Plugin Development AI skill do?

开发 BK-CI 流水线插件时使用,例如新增 Atom、编写 `task.json`、定义输入输出、处理多语言运行时、调试和发布插件。当用户要做插件本体而不是执行器或流水线模型时优先使用。

Why use Pipeline Plugin Development on TypingMind?

Because you install it once and use it with any model. Pipeline Plugin Development 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 Plugin Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentBlueKing/bk-ci/tree/master/ai/skills/pipeline-plugin-development. 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 Plugin Development?

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 Plugin Development?

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

Is the Pipeline Plugin Development 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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