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Agent Module Architecture

OrganizationPopular
TencentBlueKing
agent-module-architecture

处理 BK-CI Agent 构建机侧能力时使用,例如守护进程、心跳、Ask 轮询、任务拉起、升级更新和与 Dispatch/Worker 的协作。当用户要改构建机宿主侧行为而不是 Worker 执行细节时优先使用。

Overview

PublisherTencentBlueKing
Repositorybk-ci
Skill nameagent-module-architecture
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 Agent 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/agent-module-architecture .claude/skills/agent-module-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent 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 Agent 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 Agent 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.

Agent 模块架构

适用场景

  • 修改 Agent 启动、守护和进程管理
  • 处理心跳、Ask 轮询、任务拉起或任务结束流程
  • 修改 Agent 升级、组件升级和构建机环境管理
  • 排查 Agent 与 Dispatch、Worker 的交互问题

不适用场景

  • 只是修改 Worker 内部的任务执行
  • 只是修改插件定义、task.json 或插件发布
  • 只是修改 Dispatch 的调度配额和队列策略
  • 只是修改流水线业务逻辑

快速指导

  1. 这个 skill 关注的是“构建机宿主侧如何保持在线、接任务、拉起执行器”。
  2. Agent 主要解决守护、心跳、升级和任务编排,不负责插件本体定义。
  3. 先按问题类型进入对应参考文档:
    • 运行形态与升级:reference/1-runtime-upgrade.md
    • Ask、心跳与任务拉起:reference/2-ask-heartbeat-build.md
    • 平台支持、运维与排查:reference/3-platform-ops.md
  4. 如果问题已经进入任务执行细节,切到 worker-module-architecture
  5. 如果问题在构建机选择、排队或资源配额,切到 dispatch-module-architecture

高信号规则

  • Agent 是构建机侧编排者,Worker 是执行者
  • 守护、心跳、Ask、升级是理解 Agent 的四个核心切面
  • Agent 改动通常会影响稳定性、在线率和任务领取能力
  • 涉及进程管理和升级时,要优先考虑跨平台差异

关键陷阱

  • 把 Worker 细节问题误判成 Agent 问题
  • 只看单次请求,不看守护和轮询全链路
  • 升级逻辑没考虑回滚、并发和运行中任务
  • 忽略 Linux / Windows / macOS 的行为差异

延伸阅读

  • 运行形态与升级:reference/1-runtime-upgrade.md
  • Ask、心跳与任务拉起:reference/2-ask-heartbeat-build.md
  • 平台支持、运维与排查:reference/3-platform-ops.md
  • 如果你在改 Worker 执行:再看 worker-module-architecture
  • 如果你在改调度与构建机选择:再看 dispatch-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 Agent Module Architecture AI skill do?

处理 BK-CI Agent 构建机侧能力时使用,例如守护进程、心跳、Ask 轮询、任务拉起、升级更新和与 Dispatch/Worker 的协作。当用户要改构建机宿主侧行为而不是 Worker 执行细节时优先使用。

Why use Agent Module Architecture on TypingMind?

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

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

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

Is the Agent 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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