AWS Well Architected Review
GitHubOfficialFirst committed by ppreyasDistributed by GitHub
- Skill
- Workflow
- Cloud and DevOps
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill performs a comprehensive audit of AWS workloads against the six pillars of the AWS Well-Architected Framework. It scans infrastructure-as-code files and live AWS resources to identify architectural risks, cost inefficiencies, and security gaps. The process culminates in a structured report and the automatic creation of GitHub issues, complete with remediation code snippets and documentation references, to help teams systematically improve their cloud environment.
What it does
- Scans IaC files like Terraform, CloudFormation, and CDK for architectural patterns.
- Evaluates infrastructure against all six AWS Well-Architected Framework pillars.
- Generates a visual Mermaid architecture diagram of the current workload.
- Classifies findings by risk level (High, Medium, Low) for prioritization.
- Creates actionable GitHub issues with specific IaC remediation examples.
- Produces an EPIC tracking issue to manage the remediation lifecycle.
When to use it
- During periodic cloud infrastructure health checks.
- Before major architectural changes or production deployments.
- When onboarding new AWS workloads to ensure best practice alignment.
- To identify cost-saving opportunities and security hardening requirements.
Advantages
- Reduces manual effort in performing complex framework reviews.
- Provides concrete, copy-pasteable IaC fixes for identified issues.
- Ensures consistent application of AWS best practices across teams.
- Facilitates project management by tracking findings directly in GitHub.
Usage examples
- “Perform a Well-Architected review on the current repository.”
- The agent scans the IaC files, evaluates the architecture against the 6 pillars, and presents a summary of findings with a prompt to create GitHub issues.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/github/aws-well-architected-review/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip aws-well-architected-review.zip -d .agents/skills
Documentation by ppreyas
AWS Well-Architected Review
This workflow performs a structured AWS Well-Architected Framework (WAF) review against your workload's IaC files and deployed infrastructure. It identifies risks across all 6 WAF pillars and creates GitHub issues to track remediation.
Prerequisites
AWS CLI configured and authenticated
IaC files present in the repository (Terraform, CloudFormation, CDK, or SAM)
GitHub MCP server configured and authenticated
Workflow Steps
Step 1: Load Well-Architected Framework Reference
Fetch current AWS WAF best practices:
https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.htmlPillar-specific lenses relevant to the workload type (Serverless, SaaS, etc.)
Step 2: Discover IaC & Architecture
Scan the repository for IaC files:
Terraform:
**/*.tfCloudFormation/SAM:
**/*.yaml,**/*.json(CFn templates)CDK:
lib/**/*.ts,bin/**/*.ts,cdk.json
Identify key AWS services in use (compute, data, networking, security, observability) and generate a Mermaid architecture diagram.
Step 3: Pillar-by-Pillar Review
Pillar 1: Operational Excellence
[ ] All infrastructure defined as IaC (no manual console changes)
[ ] Consistent tagging strategy applied across all resources
[ ] CloudWatch alarms defined for key metrics
[ ] Automated deployment pipeline present (no manual deployments)
[ ] CloudTrail enabled for audit logging
[ ] Runbooks or operational documentation present
Pillar 2: Security
[ ] IAM roles use least-privilege policies (no
*actions without justification)[ ] No hardcoded credentials in IaC or code
[ ] Secrets managed via Secrets Manager or SSM Parameter Store
[ ] S3 buckets have public access blocked and server-side encryption enabled
[ ] Sensitive resources placed in private subnets
[ ] Security groups restrict inbound to minimum required ports/CIDRs
[ ] KMS encryption enabled for sensitive data stores (RDS, EBS, S3, SQS, DynamoDB)
[ ] SSL/TLS enforced on all endpoints (
enforceSSL: true)[ ] GuardDuty enabled (
aws guardduty list-detectors)[ ] AWS WAF configured on public-facing APIs and CloudFront distributions
[ ] MFA delete enabled on critical S3 buckets
Pillar 3: Reliability
[ ] Multi-AZ deployments for production databases (RDS Multi-AZ, DynamoDB Global Tables)
[ ] Auto Scaling configured with appropriate policies for EC2/ECS
[ ] S3 versioning and lifecycle policies configured
[ ] RDS automated backups enabled with appropriate retention period
[ ] DynamoDB Point-in-Time Recovery (PITR) enabled
[ ] Dead Letter Queues (DLQ) configured for Lambda, SQS, SNS
[ ] Route 53 health checks configured for DNS failover
[ ] Lambda reserved concurrency set to prevent noisy-neighbor throttling
Pillar 4: Performance Efficiency
[ ] Right-sized instance types (Lambda memory, EC2 type, RDS class)
[ ] Graviton/ARM instances used where available (Lambda
arm64, EC2 Graviton)[ ] Caching implemented (ElastiCache, DAX, CloudFront, API Gateway caching)
[ ] CloudFront used for global static content delivery
[ ] Aurora Serverless or DynamoDB On-Demand for variable load patterns
[ ] Lambda Provisioned Concurrency for latency-critical synchronous paths
Pillar 5: Cost Optimization
[ ] EC2 Reserved Instances or Savings Plans for steady-state workloads
[ ] S3 lifecycle policies moving data to cheaper storage tiers
[ ] Lambda
arm64architecture adopted (20% cost reduction)[ ] VPC Endpoints for S3/DynamoDB to avoid NAT Gateway charges
[ ] gp2 EBS volumes migrated to gp3 (same performance, 20% cheaper)
[ ] Development/test environments have auto-shutdown schedules
[ ] AWS Budgets and Cost Anomaly Detection configured
[ ] Unattached EBS volumes and idle EC2 instances identified
Pillar 6: Sustainability
[ ] Graviton/ARM instances selected where available
[ ] Serverless/managed services preferred over always-on EC2
[ ] S3 lifecycle policies reduce unnecessary long-term data storage
[ ] Auto Scaling configured to avoid over-provisioning
[ ] Region selection considers AWS renewable energy commitments
Step 4: Risk Classification
For each finding, classify:
High Risk: Security vulnerability, single point of failure, no backup/recovery
Medium Risk: Suboptimal reliability, cost inefficiency, performance concern
Low Risk: Best practice deviation, minor optimization opportunity
Step 5: User Confirmation
🏗️ AWS Well-Architected Review Summary
📊 Review Results:
• IaC Files Analyzed: X
• AWS Services Identified: Y
• Total Findings: Z
• High Risk: A (immediate action required)
• Medium Risk: B (should address soon)
• Low Risk: C (nice to have)
🔴 Top High Risk Findings:
1. [Pillar]: [Finding] — [Why it matters]
2. [Pillar]: [Finding] — [Why it matters]
💡 This will create Z individual GitHub issues + 1 EPIC issue.
❓ Proceed with creating GitHub issues? (y/n)Step 6: Create Individual Finding Issues
Label with "well-architected" and the pillar name (e.g., "security", "reliability").
Title: [WAF-<PILLAR>] [Brief Finding] — [Risk Level]
Body:
## 🏗️ Well-Architected Finding: [Brief Title]
**Pillar**: [Name] | **Risk Level**: [High/Medium/Low] | **Effort**: [Low/Medium/High]
### 📋 Description
[Clear explanation of the finding and why it matters]
### 🔧 Remediation
**IaC Fix** (preferred):
```hcl
# Terraform example
resource "aws_s3_bucket_server_side_encryption_configuration" "example" {
bucket = aws_s3_bucket.example.id
rule {
apply_server_side_encryption_by_default {
sse_algorithm = "aws:kms"
}
}
}
```
**AWS CLI fallback**:
```bash
aws s3api put-bucket-encryption --bucket <name> \
--server-side-encryption-configuration '{"Rules":[{"ApplyServerSideEncryptionByDefault":{"SSEAlgorithm":"aws:kms"}}]}'
```
### 📚 AWS Reference
- [WAF Best Practice Link]
- [AWS Documentation Link]
### ✅ Validation
- [ ] Change implemented in IaC and deployed
- [ ] AWS Config rule passes (if applicable)
- [ ] Security Hub finding resolved (if applicable)
**Well-Architected Question**: [WAF question this maps to]Step 7: Create EPIC Tracking Issue
Label with "well-architected" and "epic".
Title: [EPIC] AWS Well-Architected Review — X findings across 6 pillars
Body: Executive summary with pillar breakdown table (finding counts by pillar and risk level), Mermaid architecture diagram, prioritized checklist linking all individual issues (High → Medium → Low), and success criteria:
All High-risk findings resolved
Medium findings have accepted mitigation plans
No regression in existing CloudWatch alarms or Config rules
Error Handling
No IaC Files Found: Limit review to live resource discovery via AWS CLI and note the gap
Insufficient AWS Permissions: List required read-only permissions for the review
GitHub Creation Failure: Output all findings as formatted markdown to console
Success Criteria
✅ All 6 WAF pillars reviewed against IaC and live infrastructure
✅ All findings classified by risk level and pillar
✅ Actionable remediation steps with IaC examples for each finding
✅ GitHub issues created for team tracking
✅ Architecture diagram generated for EPIC context
✅ AWS documentation references included
Files
- ATTRIBUTION.mdAdded by AutoGineer885 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md7.4 KiB
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs an MCP server
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- First committed by
ppreyas
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/aws-well-architected-review · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- AClerbois, ppreyas
AutoGineer is not affiliated with or endorsed by ppreyas or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download aws-well-architected-review.zip