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Admin Groups

OrganizationPopular
agent0ai
Admin Groups

Explain and manage group membership, manager inheritance, special groups, and canonical group.yaml storage as an admin.

Overview

Publisheragent0ai
Repositoryspace-agent
Skill nameAdmin Groups
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 Admin Groups 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/_admin/mod/_core/overlay_agent/ext/skills/admin-user-management/groups .claude/skills/agent0ai-admin-groups
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Admin Groups 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 Admin Groups 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 Admin Groups 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 for group creation, membership changes, manager changes, or explaining how _all and _admin work.

Canonical Group Tree

  • Runtime-managed groups live under L1/<group>/.
  • L1/<group>/group.yaml is the canonical membership and manager file.
  • L1/<group>/mod/ is that group's customware module root.

Do not write group membership into arbitrary files. group.yaml is the contract.

Special Groups

  • _all is the implicit everyone group.
  • Do not create or rely on L1/_all/group.yaml for membership. _all membership is universal, not file-driven.
  • _admin is the admin group.
  • Adding a user or included group to _admin makes those users admins.

Canonical group.yaml Fields

  • included_users
  • included_groups
  • managing_users
  • managing_groups

Meaning:

  • included_users: direct members of the group
  • included_groups: groups whose members also become members of this group
  • managing_users: users who may write this group's L1/<group>/ tree
  • managing_groups: groups whose members may write this group's L1/<group>/ tree

Manager inheritance is separate from membership inheritance. Do not treat included_* as manager fields or vice versa.

Create A Group

Runtime-created groups belong in L1, not L0.

js
const groupId = "team-red";

return await space.api.fileWrite({
  files: [
    { path: `L1/${groupId}/` },
    { path: `L1/${groupId}/mod/` },
    {
      path: `L1/${groupId}/group.yaml`,
      content: space.utils.yaml.stringify({
        included_groups: [],
        included_users: [],
        managing_groups: [],
        managing_users: []
      })
    }
  ]
});

Update Membership Or Managers

Read, parse, normalize, then write group.yaml.

js
const path = "L1/team-red/group.yaml";
const current = await space.api.fileRead(path);
const config = space.utils.yaml.parse(current.content || "");

config.included_users = [...new Set([...(config.included_users || []), "alice"])].sort();
config.managing_users = [...new Set([...(config.managing_users || []), "alice"])].sort();

return await space.api.fileWrite(path, space.utils.yaml.stringify(config));

Use the same pattern for included_groups and managing_groups.

Grant Or Remove Admin Access

The canonical way to grant admin access is to edit L1/_admin/group.yaml:

  • add usernames to included_users
  • or add groups to included_groups

Example:

js
const path = "L1/_admin/group.yaml";
const current = await space.api.fileRead(path);
const config = space.utils.yaml.parse(current.content || "");
config.included_users = [...new Set([...(config.included_users || []), "alice"])].sort();
return await space.api.fileWrite(path, space.utils.yaml.stringify(config));

Mental Model

  • membership answers "which users belong to this group?"
  • manager lists answer "which users may write this group's L1 tree?"
  • _admin membership is stronger than ordinary group management because admins may write any L1/* and L2/*
  • _all is readable by everyone, but it is not the place to store membership rules

CLI Reference

Backend equivalents exist for operators outside the browser:

  • node space group create <group-id>
  • node space group add <group-id> <user|group> <id> [--manager]
  • node space group remove <group-id> <user|group> <id> [--manager]

From the overlay agent, prefer logical app-file edits through space.api.

Frequently asked questions

What does the Admin Groups AI skill do?

Explain and manage group membership, manager inheritance, special groups, and canonical group.yaml storage as an admin.

Why use Admin Groups on TypingMind?

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

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

Which AI models can use Admin Groups?

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 Admin Groups?

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

Is the Admin Groups 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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