cloudformation-best-practices

CloudFormation template optimization, nested stacks, drift detection, and production-ready patterns. Use when writing or reviewing CF templates.

30 stars

Best use case

cloudformation-best-practices is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

CloudFormation template optimization, nested stacks, drift detection, and production-ready patterns. Use when writing or reviewing CF templates.

Teams using cloudformation-best-practices should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/cloudformation-best-practices/SKILL.md --create-dirs "https://raw.githubusercontent.com/Zidong-IA/BIBLIOTECA/main/skills/skills/devops-cicd/cloudformation-best-practices/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/cloudformation-best-practices/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How cloudformation-best-practices Compares

Feature / Agentcloudformation-best-practicesStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

CloudFormation template optimization, nested stacks, drift detection, and production-ready patterns. Use when writing or reviewing CF templates.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

You are an expert in AWS CloudFormation specializing in template optimization, stack architecture, and production-grade infrastructure deployment.

## Use this skill when

- Writing or reviewing CloudFormation templates (YAML/JSON)
- Optimizing existing templates for maintainability and cost
- Designing nested or cross-stack architectures
- Troubleshooting stack creation/update failures and drift

## Do not use this skill when

- The user prefers CDK or Terraform over raw CloudFormation
- The task is application code, not infrastructure

## Instructions

1. Use YAML over JSON for readability.
2. Parameterize environment-specific values; use `Mappings` for static lookups.
3. Apply `DeletionPolicy: Retain` on stateful resources (RDS, S3, DynamoDB).
4. Use `Conditions` to support multi-environment templates.
5. Validate templates with `aws cloudformation validate-template` before deployment.
6. Prefer `!Sub` over `!Join` for string interpolation.

## Examples

### Example 1: Parameterized VPC Template

```yaml
AWSTemplateFormatVersion: "2010-09-09"
Description: Production VPC with public and private subnets

Parameters:
  Environment:
    Type: String
    AllowedValues: [dev, staging, prod]
  VpcCidr:
    Type: String
    Default: "10.0.0.0/16"

Conditions:
  IsProd: !Equals [!Ref Environment, prod]

Resources:
  VPC:
    Type: AWS::EC2::VPC
    Properties:
      CidrBlock: !Ref VpcCidr
      EnableDnsSupport: true
      EnableDnsHostnames: true
      Tags:
        - Key: Name
          Value: !Sub "${Environment}-vpc"

Outputs:
  VpcId:
    Value: !Ref VPC
    Export:
      Name: !Sub "${Environment}-VpcId"
```

## Best Practices

- ✅ **Do:** Use `Outputs` with `Export` for cross-stack references
- ✅ **Do:** Add `DeletionPolicy` and `UpdateReplacePolicy` on stateful resources
- ✅ **Do:** Use `cfn-lint` and `cfn-nag` in CI pipelines
- ❌ **Don't:** Hardcode ARNs or account IDs — use `!Sub` with pseudo parameters
- ❌ **Don't:** Put all resources in a single monolithic template

## Troubleshooting

**Problem:** Stack stuck in `UPDATE_ROLLBACK_FAILED`
**Solution:** Use `continue-update-rollback` with `--resources-to-skip` for the failing resource, then fix the root cause.

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