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Go Agent Development

OrganizationPopular
TencentBlueKing
go-agent-development

编写 BK-CI Go Agent 代码时使用,例如 Agent API 调用、任务处理、并发模式、错误处理、日志记录和宿主侧工具开发。当用户要写 Go 构建机侧代码而不是后端 Kotlin 服务时优先使用。

Overview

PublisherTencentBlueKing
Repositorybk-ci
Skill namego-agent-development
Stars
2.5K
Forks
524
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by TencentBlueKing on GitHub. Read the source before you install it.

Installation

Install the Go Agent 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/go-agent-development .claude/skills/go-agent-development
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Go Agent 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 Go Agent 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 Go Agent 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.

Go Agent 开发

适用场景

  • 编写或修改 Go Agent 代码
  • 处理 Agent 与后端的 API 通信
  • 实现任务处理、并发执行、错误恢复和日志记录
  • 开发构建机侧辅助工具

不适用场景

  • 后端 Kotlin / Java 微服务开发
  • Dispatch 调度策略设计
  • Worker 任务执行细节

快速指导

  1. 这个 skill 关注的是 Go 侧开发习惯和实现方式,不替代 agent-module-architecture 的架构视角。
  2. 写 Go Agent 代码时优先保证稳定性:错误处理、日志、重试、清理和并发边界要先想清楚。
  3. 进程、任务、网络调用、goroutine 生命周期要一起看,不要只改局部函数。
  4. 如果问题是 Agent 整体运行形态、Ask、升级或宿主侧链路,联动看 agent-module-architecture
  5. 如果问题是调度资源选择,联动看 dispatch-module-architecture

高信号规则

  • Go Agent 代码更偏宿主侧稳定性和长期运行能力
  • 网络调用和后台 goroutine 一旦失控,影响通常比业务逻辑错误更大
  • 日志要能帮助定位问题,而不是只留下表面现象

关键陷阱

  • 只改 happy path,不补错误恢复和资源清理
  • goroutine 启动容易,退出和异常恢复没管
  • 把宿主侧问题和调度 / Worker 问题混在一起

延伸阅读

  • 如果你在看 Agent 架构:再看 agent-module-architecture
  • 如果你在看调度边界:再看 dispatch-module-architecture

Frequently asked questions

What does the Go Agent Development AI skill do?

编写 BK-CI Go Agent 代码时使用,例如 Agent API 调用、任务处理、并发模式、错误处理、日志记录和宿主侧工具开发。当用户要写 Go 构建机侧代码而不是后端 Kotlin 服务时优先使用。

Why use Go Agent Development on TypingMind?

Because you install it once and use it with any model. Go Agent 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 Go Agent Development in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/TencentBlueKing/bk-ci/tree/master/ai/skills/go-agent-development. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Go Agent 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 Go Agent Development?

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

Is the Go Agent 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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