Setup Wizard Generator logo

Setup Wizard Generator

OrganizationPopular
NousResearch
setup-wizard-generator

Generate a bash wizard guiding a human through manual setup.

Overview

PublisherNousResearch
Repositoryhermes-agent
Skill namesetup-wizard-generator
Stars
250.4K
Forks
53.5K
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Setup Wizard Generator 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/NousResearch/hermes-agent/tree/main/optional-skills/devops/setup-wizard-generator
  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/NousResearch/hermes-agent.git /tmp/hermes-agent
mkdir -p .claude/skills
cp -r /tmp/hermes-agent/optional-skills/devops/setup-wizard-generator .claude/skills/setup-wizard-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Setup Wizard Generator 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 Setup Wizard Generator 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 Setup Wizard Generator 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.

Setup Wizard Generator

Generates an interactive bash wizard: a script that walks a human, step by step, through a manual procedure that is tedious to do by hand and tedious to re-explain every time. It opens each URL, says exactly what to click and copy, captures the values, writes them where they belong (.env, GitHub secrets), confirms at every stage, and shows how many stages are left.

Ported from mattpocock/skills' MIT-licensed wizard skill.

When to Use

  • Provisioning infrastructure or third-party services (Stripe, Supabase, DNS, OAuth apps) where only a human can click through the dashboard
  • Setting up credentials, CI secrets, or repo variables
  • One-off migrations or cutovers with irreversible human-gated steps
  • Any procedure the user will hand to a teammate to run

Do NOT use for steps the agent can perform itself — do those directly.

Prerequisites

  • bash; gh CLI only if stages write GitHub secrets/variables
  • The library template: templates/template.sh in this skill's directory

Procedure

1. Scope the procedure

Work out every manual step the human must take and every value captured along the way. Read the repo first, don't ask cold:

  • Setup: .env, .env.example, README, docker-compose*, framework config, and .github/workflows/* (every secrets.* / vars.* reference is a value the wizard must produce).
  • Migration/cutover: the current state, the target state, and the irreversible actions between them.

Show the user the ordered stage list and the values each produces; they may add, drop, or reorder. Done when every stage is named in order and, for each captured value, you know (a) where the human gets it, (b) where it's written (.env, a GitHub secret, both, or nowhere), and (c) whether it's secret (hidden entry) or public.

2. Map each stage's journey

For each stage, write the precise path a human follows: which URL to open, what to do there, where the value is shown — e.g. "Dashboard → Developers → API keys → Reveal test key → copy". Where you don't know the current UI or exact command, say so and check the docs or ask — never invent steps that may not exist.

3. Author the wizard

Copy templates/template.sh (from this skill's directory) to the target path. Replace the example stage with one stage per step, in dependency order. Set TOTAL_STAGES to the number of stages you wrote.

Library helpers: stage, say/step/note/warn, open_url, ask/ask_secret, write_env, set_secret/set_var, pause/confirm, banner, finish. The library above the STAGES marker is identical in every wizard — never hand-edit it; that consistency is the point.

Hold the bar the template sets: open the URL before asking for its value, ask_secret for anything secret, write_env every persisted value, set_secret only what CI actually needs, and confirm before anything irreversible. Each stage clears the screen — keep one focused task per stage so nothing the human needs scrolls away.

A wizard is ephemeral by default: save it to a scratch or scripts/ path, delete it when the job's done. Commit it only when the user wants a repeatable setup path living in the repo.

4. Verify and hand off

  • bash -n <script>; run shellcheck if available; chmod +x <script>.
  • Do NOT run it end-to-end yourself: it opens browsers and blocks on human input. Trace it statically: every value from step 1 is captured and lands where step 1 said, and every set_secret name exactly matches a secrets.* reference in CI.
  • Tell the user how to run it. If it's repeatable, commit it and link it from the README.

Pitfalls

  1. Editing the library section. Everything above the STAGES marker is the wizard library; author only below it.
  2. Inventing dashboard paths. Third-party UIs drift. If unsure of the click path, verify against current docs or flag it as approximate.
  3. set_secret for values CI doesn't use. Only push to GitHub secrets what a workflow actually references.
  4. Running the wizard yourself. It blocks on human input; static tracing plus bash -n is the verification.
  5. One mega-stage. Screen clearing per stage means a long stage scrolls critical instructions away; split it.

Verification

  • Stage list confirmed with the user before authoring
  • bash -n passes; script is executable
  • Every captured value traced to its declared destination
  • Every set_secret name matches a CI secrets.* reference
  • Library section untouched from the template

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 Setup Wizard Generator AI skill do?

Generate a bash wizard guiding a human through manual setup.

Why use Setup Wizard Generator on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NousResearch/hermes-agent/tree/main/optional-skills/devops/setup-wizard-generator. 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 Setup Wizard Generator?

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 Setup Wizard Generator?

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

Is the Setup Wizard Generator AI skill free?

Yes. It is published on GitHub by NousResearch 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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