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GhostekenGhosteken/agent-harness/skills/cloudformation-best-practices/SKILL.md

cloudformation-best-practices

Skill2 starsChanged 42 days agoMITView on GitHub

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

The file

We split this skill into the rules it gives an agent

7 rules. About 0 are common, 4 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use YAML over JSON for readability.

    line 21
  2. Very specific:

    Use Conditions to support multi-environment templates.

    line 24
  3. Very specific:

    Prefer !Sub over !Join for string interpolation.

    line 26
  4. Very specific:

    Solution: Use continue-update-rollback with --resources-to-skip for the failing resource, then fix the root cause.

    line 76
  5. Distinctive:

    Use this skill only when the task clearly matches the scope described above.

    line 79
  6. Distinctive:

    Do not treat the output as a substitute for environment-specific validation, testing, or expert review.

    line 80
  7. Distinctive:

    Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

    line 81

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

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.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

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