Aws Routing logo

Aws Routing

Organization
aws
aws-routing

Analyze and troubleshoot AWS routing and BGP path selection - how AWS chooses a network path, why traffic takes an unexpected route, and how to steer it. Use for AWS Cloud WAN route evaluation and CNE path selection; Direct Connect Gateway (DXGW) path selection and local vs remote region preference; Transit Gateway route tables, ECMP, and peering; VPC route tables and longest-prefix-match; BGP traffic engineering with local-preference communities (7224:7100/7200/7300), AS-path prepending, and MED; DX + VPN redundancy and active/active vs active/passive design; asymmetric routing and failover. Activate on symptoms like "traffic is leaving the region", "not using my local Direct Connect", "routing to the wrong VIF/location", "path is asymmetric", or "how do I make AWS prefer this path". Read-only: analysis, recommendations, and describe/get/list validation commands grounded in public AWS docs.

Overview

Publisheraws
Repositorytools-for-devops-agent
Skill nameaws-routing
Stars
120
Forks
97
Bundled files
8
LicenseApache-2.0
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.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Aws Routing 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/aws/tools-for-devops-agent/tree/main/skills/aws-routing
  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/aws/tools-for-devops-agent.git /tmp/tools-for-devops-agent
mkdir -p .claude/skills
cp -r /tmp/tools-for-devops-agent/skills/aws-routing .claude/skills/aws-routing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Routing 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 Aws Routing 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 Aws Routing 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.

Overview

This skill provides routing-first analysis for AWS networking. It reasons about the full traffic path, applies the documented route-evaluation logic for each service, and grounds recommendations in public AWS documentation. It is read-only: it produces analysis, recommendations, and read-only validation commands (describe-*, get-*, list-*) - never mutating actions.

Verification & Anti-Hallucination Directives (Mandatory)

  • Do not generate any fact, citation, or source that is not fully verifiable. If you lack a verified source, state "I cannot verify this" rather than inventing details.
  • State assumptions explicitly before answering.
  • Cross-check each claim against public AWS documentation or the references/ files. Omit claims you cannot confirm.
  • Only cite AWS documentation URLs you have actually retrieved or confirmed. Do not fabricate links.

When to use this skill

Activate when the user asks about:

  • Cloud WAN route evaluation / Core Network Edge (CNE) path selection
  • Direct Connect Gateway path selection, local-region preference, or LP communities
  • Transit Gateway route evaluation, ECMP, or peering routing
  • VPC route tables and longest-prefix-match behavior
  • BGP traffic engineering (communities, AS-path prepending, MED)
  • DX + VPN redundancy, active/active vs active/passive, or failover design
  • Why traffic is taking an unexpected path

What this skill does NOT do

This skill is read-only and advisory. It will not:

  • Design or apply infrastructure changes. It does not create, modify, or delete AWS resources, and it does not run mutating CLI/API calls (create-*, modify-*, associate-*, delete-*, put-*, update-*) or write Infrastructure-as-Code to be deployed. Any change it describes is a recommendation for you to review and implement yourself.
  • Configure BGP or push routing policy. It explains which communities, AS-path, or MED settings to use, but it does not apply them to VIFs, route tables, or Cloud WAN policy documents.
  • Execute anything against a live account beyond read-only validation. Commands it provides are limited to describe-*, get-*, and list-* for confirming state.
  • Guarantee production outcomes. It recommends non-production testing and blue/green rollout; it does not perform the cutover or validate the result for you.
  • Provide compliance, security, or contractual sign-off, or make claims it cannot ground in public AWS documentation or the references/ files.

For designing and applying changes, hand the recommendation to a change-capable workflow (with appropriate review, approvals, and testing).

How to analyze a routing problem

  1. Establish the path. Identify source, destination, and every routing construct in between (VPC route table → TGW/Cloud WAN CNE → DXGW → VIF → on-prem, or the relevant subset).
  2. Name the route table. Be explicit about which table makes each decision (VPC RT, TGW RT, CNE RT, DXGW internal selection).
  3. Apply the evaluation order for that construct (see below).
  4. Identify the deciding attribute (longest prefix, local preference, AS-path, MED, source type).
  5. Flag non-determinism (e.g., ECMP or "deterministically random" tiebreakers) and recommend a deterministic alternative.
  6. Cite the AWS documentation that supports the behavior.
  7. Provide read-only validation commands the user can run to confirm.

Key evaluation rules

Cloud WAN (per CNE)

Longest prefix match → static → VPC-propagated (same region) → unequal AS-path/MED (shortest wins) → equal AS-path & MED source preference: DXGW-propagated → Cloud WAN Connect → S2S VPN → other (TGW peering, remote CNEs; identical from 2+ sources = deterministically random).

Direct Connect (private/transit VIF, outbound AWS→on-prem)

Longest prefix match → local preference → AS_PATH length → MED → ECMP (equal AS_PATH and BGP attributes). LP communities 7224:7300/7200/7100 (High/Medium/Low) set local preference and are evaluated before AS-path. DXGW prefers the local associated-region DX by default.

Direction & tooling guidance

  • AWS → on-prem (egress): control with DX LP communities.
  • On-prem → AWS (ingress): control with the customer router's local-pref/weight/MED.
  • AS-path prepending: within a region only - unreliable across regions because DXGW local-region LP overrides it. LP communities: work within-region and cross-region.

Reference material

Detailed mechanics, patterns, and caveats are in references/:

  • cloudwan-dx-routing-patterns.md - Cloud WAN route evaluation, DXGW path selection, community traffic-engineering patterns, regional inspection, multi-region egress
  • dx-routing-patterns.md - DX BGP mechanics, BFD, MED, ASN ranges, VIF considerations, CloudHub, when VIFs can talk, active/active vs active/passive
  • tgw-routing-patterns.md - TGW route evaluation, ECMP limits, DX/VPN caveats, failover, peering
  • vpn-dx-redundancy-patterns.md - VPN + DX redundancy, route preference, ECMP limits, asymmetry
  • networking-strategic-questions.md - discovery questions per service

Output expectations

  • Explain the route-evaluation logic step by step.
  • Name the specific route table involved.
  • Give the end-to-end traffic path.
  • Compare options with tradeoffs (determinism, complexity, failover) when multiple solutions exist.
  • Include read-only AWS CLI validation commands.
  • Recommend testing in a non-production environment and blue/green for migrations.

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 Aws Routing AI skill do?

Analyze and troubleshoot AWS routing and BGP path selection - how AWS chooses a network path, why traffic takes an unexpected route, and how to steer it. Use for AWS Cloud WAN route evaluation and CNE path selection; Direct Connect Gateway (DXGW) path selection and local vs remote region preference; Transit Gateway route tables, ECMP, and peering; VPC route tables and longest-prefix-match; BGP traffic engineering with local-preference communities (7224:7100/7200/7300), AS-path prepending, and MED; DX + VPN redundancy and active/active vs active/passive design; asymmetric routing and failove...

Why use Aws Routing on TypingMind?

Because you install it once and use it with any model. Aws Routing 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 Aws Routing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws/tools-for-devops-agent/tree/main/skills/aws-routing. 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 Aws Routing?

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 Aws Routing?

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

Is the Aws Routing AI skill free?

Yes. It is published on GitHub by aws 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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