asset-it-management
Helps your agent record and track technology assets. It notes details like serial numbers, who uses them, and when warranties expire. Good for audits and inventory control.
What it does
This feature helps organize and track IT equipment like computers and phones. It creates lists so you know what you have, who is using it, and where it is located.
When to use it
- ✓When you need to know all company equipment.
- ✓When organizing employee onboarding and offboarding.
- ✓To conduct an audit of all devices.
Example of what to ask your AI
“Help me create an inventory of all the company's laptops and monitors, including serial number, model, and who is using them.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The AI asks about your equipment and how you want to organize the information. Then, it can generate a list in spreadsheet (CSV), database (SQL), or another format you request.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill asset-it-managementOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/asset-it-management/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Asset & IT Management
What it is: Equipment tracking.
Overview
Works out the smallest useful Asset & IT Management setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.
Layer: Layer 3: Onboard. Fits: Growth stage. Table code: n/a.
When to Use This Skill
- asset tracker
- it asset management
- laptop inventory
- equipment register
Also use it when the user says "equipment tracking", or describes the same process happening in a spreadsheet, a document or someone inboxes.
Do not use it for: payroll calculation, tax filing, or legal advice. This skill produces empty templates only - it never holds or processes real employee or customer data.
How It Works
Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.
Step 1 - Identify intent
Read the request and pick the intent before asking anything.
- "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
- "our process is ..." or "it is in a sheet" -> the user wants to move an existing process; capture it, then Step 2.
- "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
- "how do I ..." -> advice question; answer directly and offer the build only if it helps.
Ask only if this is the highest-value missing fact; otherwise proceed without an opener:
Q: How many devices does the company own?
Step 2 - Ask only what is missing
Skip anything the user already answered, in any earlier message. Ask the rest one at a time, and stop as soon as the remaining answers would not change the output.
- Assets - How many assets? / Laptops, phones or both? / Monitors and other?
- Assignment - Who assigns? / Signed for or not? / Shared or personal?
- Tracking - Serial numbers tracked? / Warranty dates? / Insurance?
- Current process - Where is the list now? / Spreadsheet or none? / What goes missing?
- Outcome - What do you need? / An inventory, returns or a spend view?
Never invent an answer. If the user does not know, record it as unknown and carry on.
Step 3 - Hold the internal context
Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.
module: asset-it-management
intent: null # setup | advice | review | fix | build | convert | export
scale: null # Starter | Growth | Scale, only if the answer changes it
areas:
"Assets": null
"Assignment": null
"Tracking": null
"Current process": null
"Outcome": null
requested_outputs: [] # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: [] # only what the user actually said
open_questions: [] # the unanswered ones, in the order worth asking
Step 4 - Recommend the smallest workflow
If an artifact was requested, build it after resolving essential missing facts. Otherwise give a short recommendation and offer the relevant artifact.
Recommended approach: Track assets as rows with a serial number and a named holder. Assign on day one, release on exit, and the list stays true.
Why this one: Asset registers fail at handover, not at purchase. Tying every asset to a person and a date is what makes it accurate.
Workflow: Purchase → Assign to person → Store location → Return on exit → Write-off
Step 5 - Build only on request
Once the user asks for it, derive the fields from the confirmed context and emit the requested artifacts. For machine-readable text, keep prose outside the data; for files, provide a usable link. Report material validation failures or limitations separately.
A selected Notion output is rendered by notion-manual-import, so route the
Notion step there. When the user selects Notion, hand that step to
@notion-manual-import: it holds the CSV, the property
mapping, the import steps and the verification checklist, and it renders the Field
Reference below instead of defining a table of its own. Do not restate the mapping
here and do not improvise the import steps. Manual CSV and mapping outputs need no
connection. For requested workspace changes, follow the shared contract: verify actual
…
FAQ
What are 'artifacts'?
These are the files the AI can generate for you, such as spreadsheets (CSV), database code (SQL), or data organization schemas (JSON Schema).
Does the AI store my equipment data?
No, the AI creates templates and lists for you to use, but it does not store or process your actual equipment or employee data.
Can I ask it to organize in Notion?
Yes, the AI can help prepare data for import into Notion, but the final import is done by you.
Details
Original description by the author
Asset and IT register: serial, model, condition, assignee, location, purchase value, warranty expiry and return date, as CSV, SQL, JSON Schema or Notion on request. Use for asset audits.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2213
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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