Aws Cloudfront Cdn

Community

aj-geddes

aws-cloudfront-cdn

Distribute content globally using CloudFront with caching, security headers, WAF integration, and origin configuration. Use for low-latency content delivery.

Overview

Publisher	aj-geddes
Repository	`useful-ai-prompts`
Skill name	`aws-cloudfront-cdn`
Stars	340
Forks	55
Bundled files	5
License	MIT
Links	Skill source Repository

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by aj-geddes on GitHub. Read the source before you install it.

Installation

Install the Aws Cloudfront Cdn AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/aj-geddes/useful-ai-prompts.git /tmp/useful-ai-prompts
mkdir -p .claude/skills
cp -r /tmp/useful-ai-prompts/skills/aws-cloudfront-cdn .claude/skills/aws-cloudfront-cdn

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aws Cloudfront Cdn 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 Cloudfront Cdn 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 Cloudfront Cdn 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

Amazon CloudFront is a fast, globally distributed content delivery network (CDN). Cache content at edge locations worldwide to reduce latency, improve performance, and provide high availability with DDoS protection.

When to Use

Static website hosting and assets
API acceleration and dynamic content
Video and media streaming
Mobile application content
Large file downloads
Real-time data distribution
DDoS protection for origins
Origin isolation and security

Quick Start

Minimal working example:

bash
# Create distribution for S3 origin
aws cloudfront create-distribution \
  --distribution-config '{
    "CallerReference": "myapp-'$(date +%s)'",
    "Enabled": true,
    "Comment": "My application distribution",
    "Origins": {
      "Quantity": 1,
      "Items": [{
        "Id": "myS3Origin",
        "DomainName": "mybucket.s3.us-east-1.amazonaws.com",
        "S3OriginConfig": {
          "OriginAccessIdentity": "origin-access-identity/cloudfront/ABCDEFG1234567"
        }
      }]
    },
    "DefaultCacheBehavior": {
      "AllowedMethods": {
        "Quantity": 3,
        "Items": ["GET", "HEAD", "OPTIONS"]
      },
      "ViewerProtocolPolicy": "redirect-to-https",
      "TargetOriginId": "myS3Origin",
      "ForwardedValues": {
        "QueryString": false,
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
CloudFront Distribution with AWS CLI	CloudFront Distribution with AWS CLI
Terraform CloudFront Configuration	Terraform CloudFront Configuration
Custom Headers and Security Configuration	Custom Headers and Security Configuration

Best Practices

✅ DO

Use Origin Access Identity (OAI) for S3
Enable HTTPS only for viewers
Compress content at CloudFront
Set appropriate cache TTLs
Use cache invalidation cautiously
Enable WAF for protection
Monitor CloudWatch metrics
Use multiple origins for redundancy

❌ DON'T

Make S3 buckets public
Cache sensitive data
Use HTTP for production
Ignore cache headers
Create excessive invalidations
Skip WAF protection

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 Cloudfront Cdn AI skill do?

Distribute content globally using CloudFront with caching, security headers, WAF integration, and origin configuration. Use for low-latency content delivery.

Why use Aws Cloudfront Cdn on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/aws-cloudfront-cdn. 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 Cloudfront Cdn?

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 Cloudfront Cdn?

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

Is the Aws Cloudfront Cdn AI skill free?

Yes. It is published on GitHub by aj-geddes 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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Aws Cloudfront Cdn

Overview