aws-cloudformation-task-ecs-deploy-gh
Provides patterns to deploy ECS tasks and services with GitHub Actions CI/CD
Install / Use
npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-task-ecs-deploy-ghInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of aws-cloudformation-task-ecs-deploy-gh
aws-cloudformation-task-ecs-deploy-gh scores 85/100 on our quality scale, 829th of 1,122 Security skills we index.
Its SKILL.md is 11 KB long, well organised into 29 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.
It has 353 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 35 days ago, so aws-cloudformation-task-ecs-deploy-gh is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-10-15. Automated pattern scan on 2026-10-15. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
aws-cloudformation-task-ecs-deploy-gh compared with similar skills
All 4 of these similar skills score higher than aws-cloudformation-task-ecs-deploy-gh; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aws-cloudformation-task-ecs-deploy-gh (this skill)by giuseppe-trisciuoglio | 85 | 353 | 35d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 97.6k | today | CLAUDE.md |
| taste-skillby Leonxlnx | 100 | 97.0k | today | CLAUDE.md |
| LocalAIby mudler | 100 | 49.5k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 22d ago | SKILL.md |
Frequently asked questions
- How do I install aws-cloudformation-task-ecs-deploy-gh?
- Run
npx skills add giuseppe-trisciuoglio/developer-kit --skill aws-cloudformation-task-ecs-deploy-gh. The install tabs above show the steps for each supported agent. - Which AI agents does aws-cloudformation-task-ecs-deploy-gh work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is aws-cloudformation-task-ecs-deploy-gh safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is aws-cloudformation-task-ecs-deploy-gh still maintained?
- The repository was last updated 35 days ago, so aws-cloudformation-task-ecs-deploy-gh is actively maintained.
Skill content
View source on GitHubname: aws-cloudformation-task-ecs-deploy-gh description: Provides patterns to deploy ECS tasks and services with GitHub Actions CI/CD. Use when building Docker images, pushing to ECR, updating ECS task definitions, deploying ECS services, integrating with CloudFormation stacks, configuring AWS OIDC authentication for GitHub Actions, and implementing production-ready container deployment pipelines. Supports ECS deployments with proper security (OIDC or IAM keys), multi-environment support, blue/green deployments, ECR private repositories with image scanning, and CloudFormation infrastructure updates. allowed-tools: Read, Write, Bash
AWS CloudFormation Task ECS Deploy with GitHub Actions
Comprehensive skill for deploying ECS containers using GitHub Actions CI/CD pipelines with CloudFormation infrastructure management.
Overview
Deploy containerized applications to Amazon ECS using GitHub Actions workflows. This skill covers the complete deployment pipeline: authentication with AWS (OIDC recommended), building Docker images, pushing to Amazon ECR, updating task definitions, and deploying ECS services. Integrate with CloudFormation for infrastructure-as-code management and implement production-grade deployment strategies.
When to Use
- Deploying Docker containers to Amazon ECS with GitHub Actions
- Setting up CI/CD pipelines for ECS using CloudFormation
- Configuring AWS OIDC authentication for GitHub Actions
- Building Docker images and pushing to Amazon ECR
- Updating ECS task definitions dynamically in CI/CD
- Implementing blue/green or rolling deployments for ECS
- Managing CloudFormation stacks from GitHub Actions
Instructions
Follow these steps to set up ECS deployment with GitHub Actions:
- Configure AWS Authentication: Set up OIDC provider for GitHub Actions
- Create IAM Roles: Define roles for deployment actions
- Set Up ECR Repository: Create repository with image scanning
- Create ECS Cluster: Define cluster infrastructure
- Configure Task Definition: Set up task and container definitions
- Set Up ECS Service: Configure service with deployment strategy
- Create GitHub Workflow: Define CI/CD pipeline steps
- Configure Secrets: Store credentials securely in GitHub Secrets
Quick Start
Basic Deployment Workflow
name: Deploy to ECS
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
permissions:
id-token: write
contents: read
steps:
- uses: actions/checkout@v4
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: arn:aws:iam::123456789012:role/github-actions-ecs-role
aws-region: us-east-1
- name: Login to ECR
uses: aws-actions/amazon-ecr-login@v2
- name: Build and push image
env:
ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
ECR_REPOSITORY: my-app
IMAGE_TAG: ${{ github.sha }}
run: |
docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
- name: Verify image push
run: |
docker pull $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
echo "Image $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG verified"
- name: Update task definition
uses: aws-actions/amazon-ecs-render-task-definition@v1
id: render-task
with:
task-definition: task-definition.json
container-name: my-app
image: ${{ steps.login-ecr.outputs.registry }}/my-app:${{ github.sha }}
- name: Validate task definition
run: |
# Validate JSON syntax
cat ${{ steps.render-task.outputs.task-definition }} | jq empty && echo "Task definition JSON is valid"
# Verify container image matches expected
CONTAINER_IMAGE=$(cat ${{ steps.render-task.outputs.task-definition }} | jq -r '.containerDefinitions[0].image')
EXPECTED_IMAGE="${{ steps.login-ecr.outputs.registry }}/my-app:${{ github.sha }}"
if [ "$CONTAINER_IMAGE" = "$EXPECTED_IMAGE" ]; then
echo "Container image matches expected: $CONTAINER_IMAGE"
else
echo "ERROR: Container image mismatch. Expected: $EXPECTED_IMAGE, Got: $CONTAINER_IMAGE"
exit 1
fi
- name: Deploy to ECS
uses: aws-actions/amazon-ecs-deploy-task-definition@v1
with:
task-definition: ${{ steps.render-task.outputs.task-definition }}
service: my-service
cluster: my-cluster
wait-for-service-stability: true
See references/workflow-examples.md for complete workflow examples including multi-environment and blue/green deployments.
Examples
Multi-Environment Deployment
jobs:
deploy:
strategy:
matrix:
environment: [dev, staging, prod]
steps:
- uses: actions/checkout@v4
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: arn:aws:iam::${{ matrix.env_account }}:role/github-actions-ecs-role
aws-region: ${{ matrix.region }}
- name: Deploy to ${{ matrix.environment }}
run: |
ECR_REGISTRY=${{ env.ECR_REGISTRY }}
docker build -t $ECR_REGISTRY/my-app:${{ github.sha }} .
docker push $ECR_REGISTRY/my-app:${{ github.sha }}
Blue/Green Deployment with CodeDeploy
- name: Deploy with CodeDeploy
run: |
aws deploy create-deployment \
--application-name my-app \
--deployment-group-name ${{ matrix.environment }} \
--deployment-config-name CodeDeployDefault ECSAllAtOnce \
--revision "{\"revisionType\":\"AppSpecContent\",\"appSpecContent\":{\"content\":\"$(cat appspec.yml)\",\"filename\":\"appspec.yml\"}}"
aws deploy wait deployment-successful --deployment-id $(aws deploy list-deployments --application-name my-app --query 'deployments[0]' --output text)
See references/workflow-examples.md for additional patterns including ECR lifecycle policies, task definition templates, and CloudFormation stack updates.
Best Practices
Security
- Use OIDC authentication instead of long-lived IAM keys
- Implement least privilege IAM roles with specific permissions
- Enable ECR image scanning on push
- Use AWS Secrets Manager for sensitive data
- Encrypt ECR repositories with KMS
- VPC endpoints for ECR and ECS without internet gateway
- Security groups restrict access to minimum required
Performance
- Docker layer caching with GitHub Actions cache
- Multi-stage builds to minimize image size
- Parallel deployments across multiple environments
- Fargate Spot for cost savings on non-critical workloads
- CloudWatch Logs with appropriate retention policies
Cost Optimization
- ECR lifecycle policies to clean up old images
- Fargate Spot instances for development/testing
- Right-sized task CPU and memory
- Auto-scaling based on metrics
- Scheduled scaling for predictable traffic patterns
See references/best-practices.md for detailed security, performance, and cost optimization guidelines.
Common Troubleshooting
Authentication Failures
- Verify OIDC trust relationship matches GitHub organization/repository
- Check IAM role has proper permissions for ECR and ECS
- Ensure GitHub Actions repository has
id-token: writepermission
Deployment Failures
- Check CloudWatch Logs for application errors
- Verify task definition matches service requirements
- Ensure sufficient CPU/memory in Fargate cluster
- Review health check configuration
ECR Push Failures
- Verify repository exists and permissions are correct
- Check image tag format and registry URL
- Ensure Docker daemon is running in GitHub Actions runner
- Verify image size doesn't exceed ECR limits
CloudFormation Rollback
- Review stack events in AWS Console
- Check parameter values match resource constraints
- Verify IAM role has
cloudformation:UpdateStackpermission - Enable termination protection for production stacks
See references/best-practices.md for complete troubleshooting guide with debug commands.
Related Skills
- aws-cloudformation-ecs - Design and implement ECS cluster architecture
- aws-cloudformation-lambda - Deploy Lambda functions with GitHub Actions
- aws-cloudformation-security - Security best practices for ECS deployments
References
Complete Examples
- references/workflow-examples.md - Complete GitHub Actions workflows including basic deployment, multi-environment, blue/green, and CI/CD pipelines
Configuration
- references/authentication.md - OIDC provider setup, IAM roles, cross-account deployment, environment-specific roles
- references/ecr-and-task-definitions.md - ECR repository configuration, task definition management, multi-container setups
- references/deployment-strategies.md - Rolling and blue/green deployments, CloudFormation templates, stack updates
Best Practices
- references/best-practices.md - Security guidelines, performance optimization, cost optimization, monitoring, and complete troubleshooting guide
Constraints and Warnings
Resource Limits
- GitHub Actions Limits: Usage limits per account (minutes, storage)
- Workflow File Size: Cannot exceed 1 MB
- Job Matrix Limits: Limits on total matrix combinations
- Artifact Retention: Default 90-day retention
Authentication Constraints
- OIDC Tokens: Limited lifetime (typically 5 minutes)
- Role Session Duration: Maximum 12 hours
- Permission Scope: Least-privilege permissions required
- Cross-Account Access: Requires appropriate trust relationships
Operational Constraints
- Deployment Speed: CloudFormation deployments may take time
- Stack Locking: Cannot update while another deployment is in progress
- ECR Rate Limits: API rate limits may affect large deployments
- ECS Service Limits: Limits on tasks per service and services per cluster
Security Constraints
- Secret Management: Never store secrets in repository or workflow files
- OIDC Provider: Must be configured in AWS account before first use
- Repository Access: Workflow secrets are scoped to repository
- Token Security: Minimum required permissions only (contents: read, id-token: write)
Cost Considerations
- GitHub Actions: Minutes beyond free tier incur costs
- ECR Storage: Monthly storage costs for container images
- ECS/Fargate: Costs for vCPU and memory resources
- Data Transfer: Costs for data transfer between GitHub and AWS
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
