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Opencode Controller Zh

Community
L-LesterYu
opencode-controller-zh

通过斜杠命令控制和操作 Opencode——管理会话、选择模型、切换智能体(规划/构建)模式,并协调 Opencode 编码工作流。

Overview

PublisherL-LesterYu
RepositoryOpenClaw-hot-skills-zh
Skill nameopencode-controller-zh
Stars
57
Forks
9
Bundled files
9
LicenseMIT
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.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by L-LesterYu on GitHub. Read the source before you install it.

Installation

Install the Opencode Controller Zh 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.
    https://github.com/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/opencode-controller-zh
  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/L-LesterYu/OpenClaw-hot-skills-zh.git /tmp/OpenClaw-hot-skills-zh
mkdir -p .claude/skills
cp -r /tmp/OpenClaw-hot-skills-zh/skills/opencode-controller-zh .claude/skills/opencode-controller-zh
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Opencode Controller Zh 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 Opencode Controller Zh 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 Opencode Controller Zh 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.

Opencode 控制器

核心规则

Clawdbot 不编写代码。 所有规划和编码工作均在 Opencode 中完成。

预检

  • 询问用户要使用哪个 AI 提供商。
  • 询问提供商应如何进行身份验证。
  • 未经用户确认,不得继续操作。

会话管理

  • 启动 Opencode。
  • 使用以下命令打开会话选择器: /sessions
  • 如果当前项目已存在:
    • 选择已有会话。
  • 未经用户批准,不得创建新会话。

智能体(模式)控制

  • 使用以下命令打开智能体选择器: /agents
  • 可用智能体:
    • Plan(规划)
    • Build(构建)
  • 始终先选择 Plan 模式。
  • 需要时使用 /agents 切换智能体。

模型选择

  • 使用以下命令打开模型选择器: /models
  • 选择用户请求的提供商。
  • 如果需要身份验证:
    • 复制 Opencode 提供的登录链接。
    • 将链接发送给用户。
    • 等待用户确认后再继续。

Plan 智能体行为

  • 要求 Opencode 分析任务。
  • 请求生成清晰的分步计划。
  • 允许 Opencode 提出澄清问题。
  • 仔细审查计划。
  • 如果计划不正确或不完整:
    • 要求 Opencode 修改计划。
  • 在 Plan 模式下不允许生成代码。

Build 智能体行为

  • 使用 /agents 切换到 Build 模式。
  • 要求 Opencode 执行已批准的计划。
  • 如果 Opencode 提出任何问题:
    • 立即切换回 Plan 模式。
    • 回答问题并确认计划。
    • 再切换回 Build 模式。

完成标准

  • 重复 Plan → Build 循环,直到满足所有用户需求。
  • 永远不要跳过 Plan 阶段。
  • 永远不要在 Build 模式下回答问题。

输出格式

  • 明确显示所有斜杠命令。
  • 说明选择了哪个选项。
  • 原样提供登录链接。

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 Opencode Controller Zh AI skill do?

通过斜杠命令控制和操作 Opencode——管理会话、选择模型、切换智能体(规划/构建)模式,并协调 Opencode 编码工作流。

Why use Opencode Controller Zh on TypingMind?

Because you install it once and use it with any model. Opencode Controller Zh 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 Opencode Controller Zh in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/opencode-controller-zh. 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 Opencode Controller Zh?

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 Opencode Controller Zh?

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

Is the Opencode Controller Zh AI skill free?

Yes. It is published on GitHub by L-LesterYu under the MIT license. 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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