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Evpn Vxlan Fabric

Community
automateyournetwork
evpn-vxlan-fabric

EVPN/VXLAN fabric audit and troubleshooting — VTEPs, VNIs, route types, multihoming, underlay/overlay validation. Use when troubleshooting VXLAN overlay reachability, auditing leaf-spine fabric health, debugging silent hosts or asymmetric flooding, or validating anycast gateway and ESI multihoming state.

Overview

Publisherautomateyournetwork
Repositorynetclaw
Skill nameevpn-vxlan-fabric
Stars
680
Forks
189
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepository
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the Evpn Vxlan Fabric 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.
    https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/evpn-vxlan-fabric
  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/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/evpn-vxlan-fabric .claude/skills/evpn-vxlan-fabric
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evpn Vxlan Fabric 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 Evpn Vxlan Fabric 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 Evpn Vxlan Fabric 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.

EVPN/VXLAN Fabric

Primary Backends

  • pyats-network
  • pyats-routing
  • pyats-topology
  • netbox-reconcile

Focus Areas

  • VTEP reachability and loopback consistency
  • VXLAN VNI to VLAN mapping
  • EVPN route types 2, 3, and 5
  • Anycast gateway consistency
  • Multihoming and Ethernet Segment state
  • Underlay routing health vs overlay symptoms

When to Use

  • EVPN MAC/IP reachability issues
  • Silent hosts or asymmetric flooding complaints
  • Anycast gateway or ARP suppression problems
  • Leaf-spine underlay failures impacting overlay forwarding
  • Data-center fabric audit and documentation

Workflow: Overlay Reachability

  1. Verify underlay reachability between VTEPs.
  2. Check BGP EVPN session health and route-type presence.
  3. Validate VNI mapping, bridge domains, and anycast gateway settings.
  4. Cross-check local MAC learning against EVPN advertisements.
  5. Reconcile intended VLAN/VNI mappings against NetBox or ACI intent.

Workflow: Multihoming / ESI Trouble

  1. Confirm the access device and leaf pair are both healthy.
  2. Validate Ethernet Segment identifiers and DF election state.
  3. Check for duplicate MAC movement or split-horizon symptoms.
  4. Verify LACP state, access VLANs, and host-facing port consistency.

Important Rules

  • Always validate the underlay before blaming the overlay
  • Do not push fabric config without approved change control
  • Use route-type evidence, not assumptions, to explain forwarding

Failure Behavior

  • If a tool call fails with an authentication or connection error, check that PYATS_TESTBED_PATH is set and valid before assuming a data or device problem.
  • On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
  • For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.

Frequently asked questions

What does the Evpn Vxlan Fabric AI skill do?

EVPN/VXLAN fabric audit and troubleshooting — VTEPs, VNIs, route types, multihoming, underlay/overlay validation. Use when troubleshooting VXLAN overlay reachability, auditing leaf-spine fabric health, debugging silent hosts or asymmetric flooding, or validating anycast gateway and ESI multihoming state.

Why use Evpn Vxlan Fabric on TypingMind?

Because you install it once and use it with any model. Evpn Vxlan Fabric 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 Evpn Vxlan Fabric in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/evpn-vxlan-fabric. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Evpn Vxlan Fabric?

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 Evpn Vxlan Fabric?

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

Is the Evpn Vxlan Fabric AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 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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