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Wizard

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FeatherHunter
wizard

生成一个交互式 bash 向导,一步一步领着人走完只有人才能做的步骤。适用于开通基础设施、配置凭据或 CI 密钥、走一遍陌生的第三方控制台,或者执行一次性迁移或切换。代理自己能做的步骤不要用它。

Overview

PublisherFeatherHunter
Repositorydsh-mattpocock-skills-deck
Skill namewizard
Stars
263
Forks
22
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 FeatherHunter on GitHub. Read the source before you install it.

Installation

Install the Wizard 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/FeatherHunter/dsh-mattpocock-skills-deck/tree/main/package/bundled-skills-zh/wizard
  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/FeatherHunter/dsh-mattpocock-skills-deck.git /tmp/dsh-mattpocock-skills-deck
mkdir -p .claude/skills
cp -r /tmp/dsh-mattpocock-skills-deck/package/bundled-skills-zh/wizard .claude/skills/wizard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wizard 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 Wizard 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 Wizard 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.

向导

向导是一个 bash 脚本,它一步一步领着人走完一段手工流程——这段流程手动做很烦,每次向 AI 重新解释也很烦。它会逐个打开 URL,明确说出该点什么、该复制什么,把取到的值收集起来,写到它们该在的地方(.env、GitHub 密钥),在每一段都要人确认,并显示还剩几段。它可能用来配置第三方服务、执行一次性迁移,或者把项目从一种状态搬到另一种状态。

这套好用的交互已经由 template.sh 解决掉了:逐段进度、确认关卡、跨平台打开 URL(含 WSL)、隐藏式密钥输入、幂等的 .env 写入(有则更新、无则新建)、gh secret/gh variable 写入,以及结尾的总结。你的活只是划定这段流程的范围,并编写它的各个阶段。 STAGES 标记之上的那部分库代码在每个向导里都完全相同;这种一致性正是要点所在:绝不要手改它。

向导默认是一次性的:为跑一次而建,保存在临时目录或 scripts/ 路径下,事情做完就删掉。只有当用户想要一条可重复使用、应当留在仓库里的配置路径时,才把它提交进去。

流程

1. 划定流程的范围

把每个人必须做的手工步骤、以及沿途会被收集的每个值都理出来。先读仓库,不要上来就问:

  • 配置类:.env、.env.example、.env.*、README、docker-compose*、框架配置,以及 .github/workflows/*(每一处 secrets.*/vars.* 引用都是向导必须产出的一个值)。
  • 迁移或切换类:当前状态、目标状态,以及两者之间那些不可逆的动作。

然后把有序的阶段清单、以及每个阶段产出哪些值展示给用户,并请他们确认:他们可以增加、删掉或调整顺序。

完成判据: 每个阶段都按顺序命名好,而且对每个被收集的值,你都知道 (a) 人从哪里拿到它,(b) 它被写到哪里(.env、某个 GitHub 密钥、两者都写,还是哪里都不写——有些阶段纯粹是动作),以及 (c) 它是密钥(隐藏输入)还是公开的。

2. 理清每个阶段的路径

为每个阶段写出人要走的确切路径:打开哪个 URL、在那里做什么、值显示在哪里、它填进哪个变量:例如「Dashboard → Developers → API keys → Reveal test key → copy」。如果你其实并不了解当前的界面或确切的命令,就明说,并去问用户或查文档:绝不要编造可能不存在的步骤。

完成判据: 每个阶段都能追溯到陌生人也能照着做的具体指引。

3. 编写向导

把 template.sh 复制到目标路径。按依赖顺序,把示例阶段替换成一步一个 stage。使用库提供的辅助函数:stage、say/step、open_url、ask/ask_secret、write_env、set_secret/set_var、pause/confirm。把 TOTAL_STAGES 设成你写下的阶段数。

守住模板立下的标准:要取某个值之前先打开对应的 URL;任何密钥都用 ask_secret;每个要持久化的值都用 write_env;只有 CI 真正需要的值才 set_secret;任何不可逆的动作之前都要先 confirm。每个 stage 都会清屏,所以只有当前的步骤可见:一个阶段只放一件专注的事,人需要看的东西就不会被滚走。不要碰标记之上的库代码。

4. 验证并交接

  • bash -n <script>;如果有 shellcheck,就跑一遍。
  • chmod +x <script>。
  • 不要自己把它从头到尾跑一遍:它会打开浏览器,并且会阻塞在人的输入上。改成静态地沿它走一遍:第 1 步列出的每个值都被收集到,并且落在第 1 步说的地方;每个 set_secret 的名字都与 CI 里的某处 secrets.* 引用完全一致。
  • 告诉用户怎么跑它。如果这是一条可重复使用的配置路径,就把它提交进去,并从 README 链接过去,让下一个人直接跑脚本,而不是去问 AI。

Frequently asked questions

What does the Wizard AI skill do?

生成一个交互式 bash 向导,一步一步领着人走完只有人才能做的步骤。适用于开通基础设施、配置凭据或 CI 密钥、走一遍陌生的第三方控制台,或者执行一次性迁移或切换。代理自己能做的步骤不要用它。

Why use Wizard on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FeatherHunter/dsh-mattpocock-skills-deck/tree/main/package/bundled-skills-zh/wizard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Wizard?

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 Wizard?

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

Is the Wizard AI skill free?

Yes. It is published on GitHub by FeatherHunter 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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