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Cloud Administration

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cbrock84
cloud-administration

Administers the cloud the company runs on rather than the one it sells — tenant and subscription structure, the SaaS estate and who owns each app, identity as the real perimeter, cloud spend that arrives as a surprise, and what the provider does not do for you. Use this to structure subscriptions or tenants, get control of sprawling SaaS, cut a cloud bill, work out who owns an application nobody admits to buying, or decide what corporate workloads belong in cloud at all.

Overview

Publishercbrock84
Repositoryheadcount
Skill namecloud-administration
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 Cloud Administration 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/cloud-administration .claude/skills/cloud-administration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloud Administration 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 Cloud Administration 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 Cloud Administration 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.

Cloud administration

Corporate cloud is bought, not architected. Someone needed a tool, expensed it, and it entered the estate without a review, an owner, or an offboarding path. The characteristic failure is not a bad design — it is discovering the estate years later, one invoice at a time.

This is the cloud the business runs on. For the cloud a product is built on — environments, infrastructure as code, scaling, region failure — see technology:cloud-infrastructure. The two follow different rules and the boundary is worth keeping sharp.

Structure the tenant before you need to

Subscription and account structure encodes what you can later separate: billing, access, policy, and blast radius. Retrofitting it means moving live workloads, so the cheap moment is the first one.

A workable default is to separate by what you would want to bill, govern, or lose independently — production corporate services, non-production, and anything with a distinct compliance obligation. Resist a subscription per team; teams reorganize, and the structure outlives them.

Tag at creation with owner, cost center, and environment, and enforce it with policy rather than documentation. Untagged resources become unattributable spend within a quarter, and nobody volunteers to claim them.

The SaaS estate is the part nobody is managing

Most companies underestimate their application count by a wide margin, because the ones they know about were bought by IT and the rest were bought by everyone else. The discovery methods that actually work are financial, not technical: expense reports, corporate card statements, and the identity provider's sign-in logs. Network monitoring finds less than the accounting system does.

Every application needs a named business owner, a renewal date, and a data classification. Without the owner there is nobody to ask at renewal. Without the renewal date the negotiation happens after auto-renewal. Without the classification, nobody knows which breach notification obligations apply when the vendor is compromised.

An application that stores customer or employee data belongs in the review that legal-risk:privacy-and-data-protection describes, and a departing employee's access to it is it-operations:identity-lifecycle-administration's problem — which it cannot solve for an application it does not know exists.

Identity is the perimeter, so treat it as infrastructure

Once the estate is cloud, network location protects nothing and the identity provider is the only consistent control point. Single sign-on is therefore not a convenience feature; it is what makes deprovisioning possible in one place instead of forty.

The practical rule is to refuse applications that cannot federate, or to accept them knowingly with a documented manual offboarding step. Vendors that charge extra for SSO are charging for the security baseline, and that cost belongs in the purchase decision rather than being discovered later.

Conditional access, MFA, and privileged role activation are the controls worth the effort. See security:access-and-identity for the design; this skill owns operating it across a real estate.

Cloud spend surprises are structural

Cloud bills grow because nothing in the system stops them. Resources are easy to create, nobody is billed personally, and consumption is invisible until the invoice.

Three habits catch most of it: a budget alert on every subscription before workloads land, a monthly review of the largest movers rather than the whole bill, and a scheduled look at anything running that nobody has logged into. Reserved and committed pricing is real money for steady workloads, but it is a bet on a run rate — commit only where the load is genuinely predictable.

Non-production environments running overnight and at weekends are the most common single line of waste, and shutting them on a schedule is a change nobody notices.

Shared responsibility is narrower than people assume

The provider keeps the platform available. Almost everything else — configuration, access, and in most cases the data itself — stays yours.

The one that catches organizations out is backup. A major SaaS suite protects itself against its own failures, not against a user deleting a mailbox or a ransomware event propagating through sync. Retention settings are not backups, and the recycle bin is not a recovery point. Decide deliberately what needs independent protection under it-operations:backup-and-recovery rather than assuming the vendor's durability promise covers your mistakes.

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

Platforms: AWS, Microsoft Azure, Google Cloud, and similar.

Infrastructure as code: Terraform, OpenTofu, Pulumi, Bicep, CloudFormation, and similar.

Cost visibility: the native cost tools, or CloudZero, Vantage, Finout, and similar. Guardrails: AWS Control Tower, Azure Policy, Wiz, and similar.

Console changes nobody can reproduce in code become the outage you cannot rebuild from.

Never

  • Buy an application that cannot federate without recording the manual offboarding step.
  • Let a resource exist without an owner tag and a cost center.
  • Treat vendor retention settings as a backup.
  • Structure subscriptions around the current org chart.

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 Cloud Administration AI skill do?

Administers the cloud the company runs on rather than the one it sells — tenant and subscription structure, the SaaS estate and who owns each app, identity as the real perimeter, cloud spend that arrives as a surprise, and what the provider does not do for you. Use this to structure subscriptions or tenants, get control of sprawling SaaS, cut a cloud bill, work out who owns an application nobody admits to buying, or decide what corporate workloads belong in cloud at all.

Why use Cloud Administration on TypingMind?

Because you install it once and use it with any model. Cloud Administration 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 Cloud Administration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/it-operations/skills/cloud-administration. 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 Cloud Administration?

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 Cloud Administration?

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

Is the Cloud Administration 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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