Network Administration logo

Network Administration

CommunityPopular
cbrock84
network-administration

Designs and operates the corporate network — segmentation, remote access, wireless, DNS and addressing, and diagnosing network problems. Use this to segment a network, set up or fix remote access, diagnose intermittent connectivity, plan addressing or DNS, or assess whether the network's trust assumptions still hold.

Overview

Publishercbrock84
Repositoryheadcount
Skill namenetwork-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 Network 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/network-administration .claude/skills/network-administration
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Network 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 Network 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 Network 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.

Network administration

The network is the substrate everything else assumes works. It gets attention when it fails and is otherwise expected to be invisible, which is why its design debts persist for years.

Segment by trust, and mean it

A flat network means one compromised laptop reaches the finance server. Segmentation is the highest- value structural control available and the most commonly deferred.

Separate at minimum: user devices, servers, management interfaces, guest, and anything unmanaged — printers, cameras, building systems, contractor equipment. That last category is the recurring entry point, because it is rarely patched and rarely owned.

Default deny between segments, and permit specific flows. Rules that accumulate without review become an allow-all with extra steps; review them on a cadence and remove what no longer has a reason.

Remote access

The perimeter stopped being a perimeter when the workforce and the workloads left it. Treat network location as weak evidence of trust: being on the corporate network should not by itself grant access to anything sensitive.

Prefer per-application access over full network access. A remote user needing one internal application does not need a route to the entire internal estate, which is what a traditional VPN grants by default.

Authentication and authorization policy belongs to security:access-and-identity; this skill implements the network path.

DNS and addressing are load-bearing

DNS failure presents as everything being broken, which is why it is misdiagnosed for the first twenty minutes of many incidents. Run it redundantly, monitor resolution from the client's perspective rather than the server's, and keep records under change control.

Plan addressing with room to grow and document it. Overlapping private ranges is the problem that surfaces years later during an acquisition or a site merge and is expensive at exactly that moment.

Diagnose in layers

Work bottom-up and prove each layer before moving on: physical, then addressing, then routing, then name resolution, then the application. Most misdiagnosis comes from starting at the application because that is where the complaint originated.

Intermittent problems are the hard case and need data over time, not a test at the moment someone complains. Capture continuously at the affected point; a test that passes while nobody is suffering proves nothing.

Multiple sites multiply the failure modes, not the work

A second location does not double the network; it introduces a class of problem the first site never had. Traffic now crosses a link you do not own, and every service the remote site depends on becomes a question of where it lives.

Decide deliberately what is central and what is local. Authentication, name resolution, and print are the three that hurt most when a site link drops — a location that cannot log in because the domain controller is elsewhere is offline for every purpose, not just the one that failed. Local survivability for those three is usually worth the cost; centralizing everything else usually is.

Site links fail partially more often than completely. A circuit that is up but degraded is harder than one that is down, because nothing alerts and everything is slow. Monitor the link from both ends and on the path rather than trusting the provider's portal, which reports their view of their equipment.

Where a software-defined WAN is in use, it makes the degraded case survivable by steering traffic between circuits, and it makes the topology something you configure centrally rather than per site. That is a real gain and a real concentration of risk: the controller becomes a thing whose failure is everyone's failure, so treat it as production infrastructure rather than a management tool.

Small sites accumulate exceptions. A closet without cooling, a switch nobody has patched, an address range someone reused. Budget for a periodic physical visit — remote management does not show you the cable run someone added, and the sites without permanent IT staff are exactly the ones that drift furthest from the standard.

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

  • Run a flat network and rely on host controls alone.
  • Grant full network access where application access would do.
  • Treat network location as sufficient evidence of trust.
  • Diagnose from the application layer down.

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 Network Administration AI skill do?

Designs and operates the corporate network — segmentation, remote access, wireless, DNS and addressing, and diagnosing network problems. Use this to segment a network, set up or fix remote access, diagnose intermittent connectivity, plan addressing or DNS, or assess whether the network's trust assumptions still hold.

Why use Network Administration on TypingMind?

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

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

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

Is the Network 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.

View all

Set up your own AI workspace now

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