It Asset Management logo

It Asset Management

CommunityPopular
cbrock84
it-asset-management

Tracks hardware and software assets through their life — procurement, ownership, licensing, refresh, and disposal. Use this to build an asset register, prepare for a software audit, plan a refresh cycle, control license spend, or dispose of equipment safely.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameit-asset-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 It Asset 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/it-asset-management .claude/skills/it-asset-management
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable It Asset 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 It Asset 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 It Asset 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.

IT asset management

The register exists to answer operational questions: what do we have, who has it, is it supported, is it licensed, and when does it need replacing. An inventory that answers none of those is an accounting artifact.

One register, reconciled against reality

A register maintained by hand diverges immediately. Feed it from discovery — what is actually on the network and enrolled in management — and reconcile against procurement and finance records.

The valuable output is the discrepancy list: assets in the register that discovery cannot find, and devices discovery finds that the register does not know about. The second category is the security problem, since an unknown device is unmanaged by definition.

Ownership, not just location

Every asset needs a named accountable person. "The engineering team" is not an owner; when the device needs patching, returning or replacing, a team does not answer.

Track state through the lifecycle — ordered, in stock, assigned, in repair, retired, disposed — and require the state change at the moment of handover. A register updated in batches is a register that is wrong between batches, which is most of the time.

Software licensing

Under-licensing is a financial and legal exposure that surfaces at audit; over-licensing is money spent on nothing, and it is usually the larger number.

Reconcile entitlements against actual installs and actual use. Reclaiming licenses from people who stopped using a tool typically funds a meaningful fraction of the next renewal, and the data for it already exists.

Watch license models that change cost with infrastructure — per-core, per-socket, per-user in a system that provisions freely. A routine infrastructure change can multiply a license bill with no procurement decision anywhere in the path.

Refresh and disposal

Plan refresh on a cycle and budget it as a steady cost through finance:budgeting-and-forecasting. Refresh driven by failure produces an unpredictable expense and a worse experience, and it always arrives at the wrong moment.

Disposal is where data escapes. Require certified destruction or verified wipe, keep the certificate, and treat storage devices as data until proven otherwise. A drive in a cupboard nobody logged is a breach with no date attached.

Tooling

Discovery and hardware inventory: Lansweeper, Snipe-IT, ServiceNow ITAM, Device42, and similar; the endpoint management platform already knows most of the fleet and is the cheapest starting point.

Software licensing and SaaS spend: Flexera, Torii, Zylo, Productiv, and similar. The SaaS half is where the money hides, and it is discovered through the expense system and single sign-on logs as much as through any inventory tool.

Reconcile the register against the endpoint platform, the identity provider and the finance system on a schedule. Three systems each holding a partial truth is the normal state, and the gaps between them are the assets nobody is managing.

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.

Never

  • Maintain a register by hand and trust it.
  • Record a team as an asset owner.
  • Renew licenses without reconciling against actual use.
  • Dispose of storage without evidence of destruction or wipe.

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 It Asset Management AI skill do?

Tracks hardware and software assets through their life — procurement, ownership, licensing, refresh, and disposal. Use this to build an asset register, prepare for a software audit, plan a refresh cycle, control license spend, or dispose of equipment safely.

Why use It Asset Management on TypingMind?

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

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

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

Is the It Asset 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇