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Myagents Docs

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hAcKlyc
myagents-docs

MyAgents 产品使用知识库与用户可见行为说明。用户或 Agent 只要需要了解 MyAgents 是什么、能做什么、某项功能怎么用、 功能入口或前置条件、功能之间的区别与关系、正确情况下应该出现什么结果、有哪些限制或常见误解,就使用这个 skill; 也适用于在任意工作区规划怎样借助 MyAgents 的 Workspace、Session、Task、Goal、Provider、Runtime、MCP、Skill、Agent Channel、 Agent 网络、协作空间等能力完成工作。它面向软件使用而非源码开发。需要查询或修改当前实例状态时再加载 `/myagents-cli`; 已经出现报错、崩溃或实际行为偏离预期时,在内置小助理中转入 `/support`。

Overview

PublisherhAcKlyc
RepositoryMyAgents
Skill namemyagents-docs
Stars
919
Forks
107
Bundled files
9
LicenseAGPL-3.0
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 hAcKlyc on GitHub. Read the source before you install it.

Installation

Install the Myagents Docs 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/hAcKlyc/MyAgents/tree/main/bundled-skills/myagents-docs
  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/hAcKlyc/MyAgents.git /tmp/MyAgents
mkdir -p .claude/skills
cp -r /tmp/MyAgents/bundled-skills/myagents-docs .claude/skills/myagents-docs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Myagents Docs 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 Myagents Docs 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 Myagents Docs 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.

MyAgents 产品使用知识库

这个 Skill 是 MyAgents 产品行为的知识入口。它帮助用户理解和使用软件,也帮助 Agent 建立正确的产品心智模型;它不是源码架构文档、命令参数大全或故障日志手册。

先判断用户需要什么

用户意图处理方式
了解功能、比较概念、寻找入口、询问限制读取本 Skill 对应 reference,直接解释并给出使用路径
设计一套 MyAgents 使用流程读取涉及的 references,先说明各能力的职责,再组合工作流
希望你查询现场状态或代为操作用本 Skill 确认语义;随后加载 /myagents-cli,以 CLI 的实时 help 和返回值为准
已按正确方式操作,但报错、崩溃、无响应或结果不符合预期在内置小助理里加载 /support;先用本 Skill 确认预期,再用本地证据诊断
要修改 MyAgents 源码或评审实现架构如果当前工作区是 MyAgents 仓库,改读仓库 CLAUDE.md、specs/ARCHITECTURE.md 与相关 tech_docs/;本 Skill 不是开发者文档

普通的“怎么用”不等于故障,不要一上来查日志。反过来,用户已经完成正确步骤却失败时,也不要只重复使用说明;应升级到诊断流程。

按问题域读取

一次只读最相关的 reference;跨域问题再追加。

用户在问什么读取
MyAgents 的定位、能力地图、主要入口、应该选哪类功能references/product-overview.md
Workspace、Agent、Session、Tab、历史、文件、搜索、终端、浏览器references/workspaces-sessions-files.md
Provider、Model、订阅、Runtime、权限模式、代理、Codex/Claude Codereferences/models-providers-runtimes.md
MCP、Skills、官方/自定义 CLI 工具、Claude Plugin、OpenClaw Plugin、读图与 Widgetreferences/tools-skills-plugins.md
自定义 Agent、IM Channel、Telegram/钉钉/飞书/微信、heartbeat、长期记忆、小助理与悬浮窗references/agents-channels.md
同账号跨设备 Agent 网络、本机/远端 Session 协作、@ Agent、会话读取/观察与结果回传references/agent-network.md
Record、Task、定时/Cron、Goal Mode、状态与执行关系references/automation.md
协作空间 / Team Space、Space Goal、Issue、Registered Agent、Delivery、共享 Skill/Tool、官方工具市场references/cloud-space.md
实验室门控、生效时机、本地数据、安全、语言、更新与功能可用性references/settings-safety.md

五组最容易混淆的概念

概念一句话边界
Workspace / Agent / Session / TabWorkspace 是工作内容所在目录;Agent 是围绕工作区配置的 AI;Session 是持续的对话与执行身份;Tab 是桌面上承载 Session 的视图
Provider / Model / RuntimeProvider 提供模型与认证;Model 是具体模型;Runtime 是实际驱动 Agent 回合的执行引擎
Record / Task / Cron / GoalRecord 保存文字或音频记录;Task 承载可追踪工作;Cron 是定时 Task 的兼容操作面;Goal 让当前 Session 围绕一个目标持续推进
MCP / Skill / Plugin / CLI ToolMCP 接入可调用工具;Skill 教 Agent 怎样完成流程;Plugin 扩展成组能力;CLI Tool 是可执行命令能力
Session Goal / Space GoalSession Goal 是本地当前会话的持续执行模式;Space Goal 是团队空间内组织 Issue 的层级,两者不是同一资源

回答产品问题的方法

  1. 先回答用户眼前的问题,不从内部实现讲起。
  2. 给出足够的产品心智模型:为什么用这个功能、与相邻功能有什么区别。
  3. 说明前置条件、入口、典型步骤、成功标志和生效时机。
  4. 只在能帮助用户判断时提及 Session、Runtime、Owner 等抽象,并翻译成用户能理解的语言。
  5. 把稳定的产品契约和当前实例状态分开。功能是否存在、当前有哪些模型、某开关是否开启等现场值,使用 /myagents-cli 或 UI 查询,不凭静态文档猜。
  6. 如果观察到的行为与这里的预期不一致,明确写出“预期 / 实际”的差异,再转诊断;不要未经证据直接宣布是产品 Bug。
  7. 这份知识随客户端维护。用户版本与当前知识不同时,先查 myagents version 和该版本入口;不能把开发版新增能力说成所有已发布安装都已具备。组件版本、模型目录与云端部署状态仍需现场查询。

每项功能应解释到什么程度

完整回答通常覆盖:

  • 它解决什么用户问题
  • 什么时候适合用,什么时候不适合
  • 与相邻概念的关系
  • 入口和典型使用流程
  • 前置条件与功能门控
  • 用户可观察到的成功状态
  • 生效时机、限制和常见误解
  • 需要现场操作时下一步该查询什么
  • 哪些现象应转入 /support

不要在回答里倾倒完整百科。只展开与当前目标有关的部分。

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 Myagents Docs AI skill do?

MyAgents 产品使用知识库与用户可见行为说明。用户或 Agent 只要需要了解 MyAgents 是什么、能做什么、某项功能怎么用、 功能入口或前置条件、功能之间的区别与关系、正确情况下应该出现什么结果、有哪些限制或常见误解,就使用这个 skill; 也适用于在任意工作区规划怎样借助 MyAgents 的 Workspace、Session、Task、Goal、Provider、Runtime、MCP、Skill、Agent Channel、 Agent 网络、协作空间等能力完成工作。它面向软件使用而非源码开发。需要查询或修改当前实例状态时再加载 `/myagents-cli`; 已经出现报错、崩溃或实际行为偏离预期时,在内置小助理中转入 `/support`。

Why use Myagents Docs on TypingMind?

Because you install it once and use it with any model. Myagents Docs 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 Myagents Docs in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hAcKlyc/MyAgents/tree/main/bundled-skills/myagents-docs. 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 Myagents Docs?

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 Myagents Docs?

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

Is the Myagents Docs AI skill free?

Yes. It is published on GitHub by hAcKlyc under the AGPL-3.0 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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