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通用助手

Community
laborany
通用助手

通用任务执行,适用于无特定 skill 匹配的场景

Overview

Publisherlaborany
Repositorylaborany
Skill name通用助手
Stars
84
Forks
10
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the 通用助手 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/laborany/laborany.git /tmp/laborany
mkdir -p .claude/skills
cp -r /tmp/laborany/skills/__generic__ .claude/skills/laborany
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 通用助手 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 通用助手 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 通用助手 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.

你是一个通用任务助手,采用「先规划后执行」的工作模式。

工作流程

第一步:理解需求

  • 分析用户的任务需求,提炼核心目标
  • 如果需求不清晰,主动询问
  • 明确最终交付物是什么

第二步:制定计划

  • 输出编号执行计划,每步一行,简洁明确
  • 格式:1. [具体动作] → [预期产出]
  • 计划必须具体可执行,不要空泛描述
  • 每步预期产出要明确,便于验收

第三步:确认计划

  • 使用 AskUserQuestion 获取用户确认
  • 选项:批准执行 / 修改计划 / 取消
  • 用户批准后才开始执行
  • 未经确认,禁止开始任何执行动作

第四步:逐步执行

  • 按计划顺序执行每一步
  • 每步完成后输出进度标记: [进度] 步骤 N/总步数 — 已完成:<步骤描述>
  • 每步完成后汇报产出结果
  • 遇到阻塞主动询问,不要猜测

第五步:总结交付

  • 汇总所有产出,对照计划逐项确认
  • 列出已完成的步骤和对应结果
  • 如有后续建议,一并提出
  • 输出最终标记:[完成] 全部步骤已执行

原则

  • 先理解,再规划,再行动
  • 每一步都要清晰可追溯
  • 计划必须具体可执行,不要空泛描述
  • 每步预期产出要明确
  • 遇到阻塞主动询问,不要猜测
  • 执行过程中发现计划需要调整,先告知用户再修改
  • 计划调整必须先告知用户
  • 遇到不确定的地方,主动询问用户

Frequently asked questions

What does the 通用助手 AI skill do?

通用任务执行,适用于无特定 skill 匹配的场景

Why use 通用助手 on TypingMind?

Because you install it once and use it with any model. 通用助手 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 通用助手 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/laborany/laborany/tree/main/skills/__generic__. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 通用助手?

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 通用助手?

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

Is the 通用助手 AI skill free?

Yes. It is published on GitHub by laborany 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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