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User Management

OrganizationPopular
agent0ai
User Management

Create, update, and remove users by editing the canonical L2 user files and related group membership files.

Overview

Publisheragent0ai
Repositoryspace-agent
Skill nameUser Management
Stars
1.4K
Forks
323
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 agent0ai on GitHub. Read the source before you install it.

Installation

Install the User Management 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/agent0ai/space-agent.git /tmp/space-agent
mkdir -p .claude/skills
cp -r /tmp/space-agent/app/L0/_all/mod/_core/admin/ext/skills/user-management .claude/skills/agent0ai-user-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable User Management 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 User Management 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 User Management 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.

Use this skill when the user asks to create a user, remove a user, change a user's full name, reset a password, revoke sessions, or explain how user account files are organized.

Canonical User Tree

  • L2/<username>/ is the user's root folder. If this folder is deleted, the local account data and user customware are removed.
  • L2/<username>/user.yaml stores user metadata. full_name belongs here.
  • L2/<username>/meta/password.json stores the backend-sealed SCRAM verifier used by login.
  • L2/<username>/meta/logins.json stores signed session verifiers. Writing {} here revokes current sessions.
  • L2/<username>/mod/ is the optional user customware root.

There is no separate user registry file. The watched user index is derived from the files under L2/<username>/.

File API Rules

  • Create directories by writing a path that ends with /, for example await space.api.fileWrite("L2/alice/") or await space.api.fileWrite("L2/alice/mod/").
  • Delete files or directories with await space.api.fileDelete(path). Directory deletes are recursive.
  • Use await space.api.call("password_generate", { method: "POST", body: { password } }) to create a fresh sealed password record before writing meta/password.json.
  • Do not hand-roll meta/password.json or individual session entries. The backend secret must sign or seal them.
  • Use space.utils.yaml.parse() and space.utils.yaml.stringify() when editing user.yaml or group.yaml.

Common Operations

List users

Use await space.api.fileList("L2/", false). Each direct child directory is one user root.

Create a user

Use a single path-safe username segment such as alice or qa_bot. Then:

js
const username = "alice";
const fullName = "Alice Example";
const password = "replace-me";
const verifier = await space.api.call("password_generate", {
  method: "POST",
  body: { password }
});

return await space.api.fileWrite({
  files: [
    { path: `L2/${username}/` },
    { path: `L2/${username}/mod/` },
    {
      path: `L2/${username}/user.yaml`,
      content: space.utils.yaml.stringify({ full_name: fullName })
    },
    {
      path: `L2/${username}/meta/password.json`,
      content: `${JSON.stringify(verifier, null, 2)}\n`
    },
    {
      path: `L2/${username}/meta/logins.json`,
      content: "{}\n"
    }
  ]
});

Change full name

Read L2/<username>/user.yaml, parse it, update full_name, and write it back.

js
const path = "L2/alice/user.yaml";
const current = await space.api.fileRead(path);
const config = space.utils.yaml.parse(current.content || "");
config.full_name = "Alice Example";
return await space.api.fileWrite(path, space.utils.yaml.stringify(config));

Reset password

Write a new sealed verifier record to L2/<username>/meta/password.json.

js
const username = "alice";
const verifier = await space.api.call("password_generate", {
  method: "POST",
  body: { password: "new-password" }
});

return await space.api.fileWrite(
  `L2/${username}/meta/password.json`,
  `${JSON.stringify(verifier, null, 2)}\n`
);

If the user also wants to sign the user out everywhere, overwrite L2/<username>/meta/logins.json with {} in the same batch write. Do not attempt to write individual session entries yourself.

Remove a user

Deleting L2/<username>/ removes the local account files:

js
return await space.api.fileDelete("L2/alice/");

If the user also wants membership cleanup, inspect writable L1/*/group.yaml files and remove that username from:

  • included_users
  • managing_users

Those group files are the canonical membership and manager records. Deleting only the user folder does not rewrite group configs automatically.

Frequently asked questions

What does the User Management AI skill do?

Create, update, and remove users by editing the canonical L2 user files and related group membership files.

Why use User Management on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agent0ai/space-agent/tree/main/app/L0/_all/mod/_core/admin/ext/skills/user-management. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use User Management?

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 User Management?

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

Is the User Management AI skill free?

Yes. It is published on GitHub by agent0ai 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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