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Endpoint Management

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cbrock84
endpoint-management

Manages laptops, desktops and mobile devices — enrollment, configuration, patching, software distribution, and lost or compromised devices. Use this to set up device management, standardize builds, roll out software or an OS upgrade, handle a lost device, or bring an unmanaged fleet under control.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameendpoint-management
Stars
1.6K
Forks
237
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 cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Endpoint 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/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/it-operations/skills/endpoint-management .claude/skills/endpoint-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Endpoint 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 Endpoint 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 Endpoint 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.

Endpoint management

Endpoints are the most exposed and least controlled part of the estate: they leave the building, run arbitrary software, and are operated by people whose job is not IT.

Enrollment is the control point

A device that never enrolled is a device with no patching, no encryption guarantee, and no remote wipe. Enrollment must be a precondition of access to company data, not a request made afterwards.

Automate it from procurement so a device is enrolled before the user opens it. Manual enrollment as a post-delivery step is skipped exactly when the desk is busy.

Handle personal devices as a deliberate policy decision, not an accident. If personal devices reach company data, either manage the work container or restrict what they can reach — and be explicit with people about what the organization can and cannot see on their own hardware, because ambiguity there destroys trust quickly.

A small number of standard builds

Every additional build variant multiplies testing, support and failure modes. Converge on few, and handle exceptions by adding software to a standard build rather than by creating a new one.

Enforce the security baseline through configuration policy rather than instruction: disk encryption on, screen lock, firewall, up-to-date agents. Anything relying on a user to configure it is configured on some devices.

Patch on a cadence with a deadline

Endpoints patch worse than servers because they are off, asleep, or the user keeps deferring. Allow deferral with a hard deadline and force after it, and communicate the deadline in advance — an unexpected forced reboot during a customer call is what teaches people to avoid management.

Report coverage as a percentage of the fleet, and specifically chase the long tail. The devices that never appear in patch reports are usually the interesting ones: traveling users, spares, and the machine in a cupboard still holding a domain account.

Lost, stolen, or leaving

Have the sequence ready in advance: lock, locate if possible, wipe, revoke credentials and sessions, and record what data was on it for legal-risk:privacy-and-data-protection to assess notification.

Encryption is what turns a lost laptop from an incident into paperwork. Verify enforcement continuously rather than trusting the policy is applied — the device where it silently failed is the one that gets left in a taxi.

Departures are coordinated with people:onboarding-and-offboarding, with asset return tracked against it-operations:it-asset-management.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Tooling

Windows: Microsoft Intune, Configuration Manager, Ivanti, and similar. Apple: Jamf Pro, Kandji, Mosyle, and similar. Cross-platform: NinjaOne, Automox, Addigy, and similar.

Endpoint protection: Microsoft Defender for Endpoint, CrowdStrike Falcon, SentinelOne, and similar.

Pick for your fleet's majority and accept a second tool for the minority. One tool that half-manages both platforms costs more than two that each work.

Never

  • Allow company data onto a device that never enrolled.
  • Rely on users to apply security configuration.
  • Allow indefinite patch deferral.
  • Assume encryption is on without verifying it per device.

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 Endpoint Management AI skill do?

Manages laptops, desktops and mobile devices — enrollment, configuration, patching, software distribution, and lost or compromised devices. Use this to set up device management, standardize builds, roll out software or an OS upgrade, handle a lost device, or bring an unmanaged fleet under control.

Why use Endpoint Management on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/it-operations/skills/endpoint-management. 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 Endpoint 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 Endpoint Management?

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

Is the Endpoint Management AI skill free?

Yes. It is published on GitHub by cbrock84 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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