| name | deploy-to-github |
| description | Set up GitHub Actions to deploy this repository via AWS Deployer - creates workflow, updates CloudFormation template with required parameters, and generates parameter files. |
Set Up GitHub Actions Deployment for AWS Deployer
This skill automatically configures a GitHub repository to deploy via AWS Deployer (github.com/savaki/aws-deployer).
Prerequisites
- AWS Deployer infrastructure is already set up (use
setup-deployerskill if not) - Working directory is a Git repository with a GitHub remote
- Repository has a
cloudformation.templatefile (will be created if missing) - Optional:
S3_ARTIFACT_BUCKETenvironment variable set to your artifacts bucket - Optional:
AWS_REGIONenvironment variable set to your AWS region
Your Task
When this skill is invoked, you will configure the repository for GitHub Actions deployment by:
- Detecting repository information - Extract repo name from
.git/config - Getting configuration - Check environment variables (
S3_ARTIFACT_BUCKET,AWS_REGION) first, ask only if not set - Detecting build system - Identify build command from project files
- Creating/updating GitHub workflow - Generate
.github/workflows/deploy.yml - Updating CloudFormation template - Ensure required parameters exist
- Creating parameter files - Generate base and environment-specific templates
- Explaining OIDC setup - Provide instructions for running
aws-deployer setup-githuband configuring GitHub secrets
Important:
- Check environment variables first:
S3_ARTIFACT_BUCKETandAWS_REGION - Only ask for values if environment variables are not set
- Default AWS region to
us-west-2if not set - Do NOT run the
aws-deployer setup-githubcommand. Explain to the user how to run it. - Explain that THREE GitHub secrets are required:
AWS_ROLE_ARN,S3_ARTIFACT_BUCKET, andAWS_REGION.
Step 1: Detect Repository Information
Extract the repository owner and name from Git configuration:
# Get the remote URL
git config --get remote.origin.url
Parse the result to extract owner/repo:
https://github.com/foo/bar.git→foo/bargit@github.com:foo/bar.git→foo/bar
Store as REPO_FULL_NAME (e.g., foo/bar)
Step 2: Get Configuration
S3 Bucket:
- Check if
S3_ARTIFACT_BUCKETenvironment variable is setecho $S3_ARTIFACT_BUCKET - If set, use that value
- If not set, ask the user for the S3 artifacts bucket name
- Example:
my-artifacts-bucket - This will be stored as a GitHub secret
S3_ARTIFACT_BUCKET
- Example:
AWS Region:
- Check if
AWS_REGIONenvironment variable is setecho $AWS_REGION - If set, use that value
- If not set, ask the user to confirm the AWS region, providing options:
- Default:
us-west-2 - Other common options:
us-east-1,us-east-2,eu-west-1,ap-southeast-1 - Allow custom input
- Default:
Initial Environment: Default to dev (don't ask)
Step 3: Detect Build Command
Check for common build files and infer the build command:
Makefilewithbuildtarget →make buildpackage.jsonwithbuildscript →npm run buildgo.mod→go build ./...pom.xml→mvn packagebuild.gradle→gradle build
If multiple or none found, ask the user for the build command.
Step 4: Create/Update GitHub Workflow
Create .github/workflows/deploy.yml:
name: Deploy to AWS
on:
push:
branches:
- main
- develop
workflow_dispatch:
permissions:
id-token: write
contents: read
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v4
with:
role-to-assume: ${{ secrets.AWS_ROLE_ARN }}
aws-region: ${{ secrets.AWS_REGION }}
- name: Set version variables
id: version
run: |
REPO="<repo-owner>/<repo-name>"
BRANCH="${{ github.ref_name }}"
SHA_SHORT="${{ github.sha }}"
SHA_SHORT="${SHA_SHORT:0:6}"
VERSION="${{ github.run_number }}.${SHA_SHORT}"
S3_PREFIX="${REPO}/${BRANCH}/${VERSION}"
echo "repo=${REPO}" >> $GITHUB_OUTPUT
echo "branch=${BRANCH}" >> $GITHUB_OUTPUT
echo "version=${VERSION}" >> $GITHUB_OUTPUT
echo "s3_prefix=${S3_PREFIX}" >> $GITHUB_OUTPUT
- name: Build application
run: |
<build-command>
- name: Generate CloudFormation parameters
run: |
cat > cloudformation-params.json <<EOF
{
"Env": "dev",
"Version": "${{ steps.version.outputs.version }}",
"S3Bucket": "${{ secrets.S3_ARTIFACT_BUCKET }}",
"S3Prefix": "${{ steps.version.outputs.s3_prefix }}"
}
EOF
- name: Upload to S3
run: |
S3_PATH="s3://${{ secrets.S3_ARTIFACT_BUCKET }}/${{ steps.version.outputs.s3_prefix }}/"
# Upload CloudFormation template
aws s3 cp cloudformation.template "${S3_PATH}"
# Upload parameters
aws s3 cp cloudformation-params.json "${S3_PATH}"
# Upload environment-specific parameters if they exist
if [ -f cloudformation-params.dev.json ]; then
aws s3 cp cloudformation-params.dev.json "${S3_PATH}"
fi
if [ -f cloudformation-params.prd.json ]; then
aws s3 cp cloudformation-params.prd.json "${S3_PATH}"
fi
# Upload any build artifacts as needed
# Example: aws s3 cp build/function.zip "${S3_PATH}"
- name: Deployment info
run: |
echo "✓ Deployed version: ${{ steps.version.outputs.version }}"
echo "✓ S3 path: s3://${{ secrets.S3_ARTIFACT_BUCKET }}/${{ steps.version.outputs.s3_prefix }}/"
echo "✓ Environment: dev"
Replace placeholders:
<repo-owner>/<repo-name>: Full repository name from Git (e.g.,mycompany/my-app)<build-command>: Detected or user-provided build command
Note: The workflow uses ${{ secrets.AWS_REGION }} which will be configured as a GitHub secret.
Step 5: Update CloudFormation Template
If cloudformation.template exists, read it and check for required parameters.
If any of these parameters are missing, add them:
Parameters:
Env:
Type: String
Default: dev
Description: Environment name (dev, staging, prd)
AllowedValues:
- dev
- staging
- prd
Version:
Type: String
Description: Build version in format {build_number}.{commit_hash}
S3Bucket:
Type: String
Description: Artifacts bucket name
S3Prefix:
Type: String
Description: S3 path to artifacts in format {repo}/{branch}/{version}
If cloudformation.template doesn't exist, create a simple example:
AWSTemplateFormatVersion: '2010-09-09'
Description: Deployment for <repo-name>
Parameters:
Env:
Type: String
Default: dev
Description: Environment name (dev, stg, prd, etc)
Version:
Type: String
Description: Build version in format {build_number}.{commit_hash}
S3Bucket:
Type: String
Description: Artifacts bucket name
S3Prefix:
Type: String
Description: S3 path to artifacts in format {repo}/{branch}/{version}
Resources:
# TODO: Add your infrastructure resources here
# Example:
# MyBucket:
# Type: AWS::S3::Bucket
# Properties:
# BucketName: !Sub '${Env}-<repo-name>-${AWS::AccountId}'
# Tags:
# - Key: Version
# Value: !Ref Version
# - Key: Environment
# Value: !Ref Env
Common usage patterns:
Lambda Function
MyFunction:
Type: AWS::Lambda::Function
Properties:
FunctionName: !Sub '${Env}-my-function'
Code:
S3Bucket: !Ref S3Bucket
S3Key: !Sub '${S3Prefix}/function.zip'
Environment:
Variables:
VERSION: !Ref Version
ECS Task Definition
TaskDefinition:
Type: AWS::ECS::TaskDefinition
Properties:
Family: !Sub '${Env}-my-service'
ContainerDefinitions:
- Name: app
Image: !Sub '${AWS::AccountId}.dkr.ecr.${AWS::Region}.amazonaws.com/my-app:${Version}'
Step 6: Create Parameter Files
Base Parameters File
Create cloudformation-params.json as a template:
{
"Env": "dev",
"Version": "1.000000",
"S3Bucket": "<bucket-name>",
"S3Prefix": "<repo-owner>/<repo-name>/main/1.000000"
}
Replace:
<bucket-name>: S3 bucket name provided by user<repo-owner>/<repo-name>: Full repo name from Git
Note: The GitHub workflow dynamically generates this file during deployment, but this template file:
- Shows the structure for reference
- Can be used for local testing (users can modify values manually)
Environment-Specific Parameter Files
Environment-specific parameter files allow you to override or add parameters per environment. They merge with the base cloudformation-params.json.
How they work:
- AWS Deployer loads
cloudformation-params.jsonfirst - Then merges
cloudformation-params.<env>.jsonif it exists - Environment-specific values override base values
When to use them:
- Different instance sizes per environment (t3.micro in dev, m5.large in prod)
- Feature flags (debug mode enabled only in dev)
- Environment-specific endpoints or domains
- Different scaling parameters
Create cloudformation-params.dev.json:
{
}
Create cloudformation-params.prd.json:
{
}
Example with actual parameters:
If your CloudFormation template has:
Parameters:
InstanceType:
Type: String
Default: t3.micro
EnableDebugMode:
Type: String
Default: "false"
You might use:
cloudformation-params.dev.json:
{
"InstanceType": "t3.micro",
"EnableDebugMode": "true"
}
cloudformation-params.prd.json:
{
"InstanceType": "m5.large",
"EnableDebugMode": "false"
}
Step 7: Explain GitHub OIDC Setup
After creating all files, explain to the user how to set up GitHub OIDC authentication and configure the required secrets. Make sure to clearly communicate that they need to:
- Run the
aws-deployer setup-githubCLI command (you do NOT run it for them) - Manually add the
AWS_REGIONGitHub secret - Verify all three secrets are configured:
AWS_ROLE_ARN,S3_ARTIFACT_BUCKET,AWS_REGION
Provide the following instructions:
Next: Configure GitHub OIDC Authentication
Your repository is now configured for AWS Deployer! Before the GitHub Actions workflow can run, you need to set up GitHub OIDC authentication and configure GitHub secrets.
Required GitHub Secrets: Your workflow requires THREE GitHub secrets to be configured:
AWS_ROLE_ARN- IAM role for GitHub OIDC authenticationS3_ARTIFACT_BUCKET- S3 bucket for storing deployment artifactsAWS_REGION- AWS region where the deployer is running
Step 1: Set Up GitHub OIDC with AWS
You need to run the aws-deployer setup-github CLI command to configure GitHub OIDC authentication.
Prerequisites:
GitHub Personal Access Token (PAT) stored in AWS Secrets Manager:
# Create a PAT at https://github.com/settings/tokens with 'repo' scope # Then store it in Secrets Manager: aws secretsmanager create-secret \ --name github/pat-token \ --secret-string '{"github_pat":"ghp_xxxxxxxxxxxxx"}' \ --region <region>AWS Deployer CLI built and available:
# Build the CLI if not already available cd /path/to/aws-deployer make build-cli
Run the setup command:
aws-deployer setup-github \
--role-name github-actions-<short-repo-name> \
--repo <repo-owner>/<repo-name> \
--bucket <bucket-name> \
--github-token-secret github/pat-token \
--region <region>
For your repository:
aws-deployer setup-github \
--role-name github-actions-<short-repo-name> \
--repo <full-repo-name> \
--bucket <bucket-name> \
--github-token-secret github/pat-token \
--region <region>
What this command does:
- Creates GitHub OIDC provider in AWS (if it doesn't exist)
- Creates IAM role
github-actions-<repo-name>with S3 upload permissions - Adds
AWS_ROLE_ARNsecret to your GitHub repository - Adds
S3_ARTIFACT_BUCKETsecret to your GitHub repository
Step 2: Add Required GitHub Secrets
After running the aws-deployer setup-github command, verify that these GitHub secrets exist. You may need to add AWS_REGION manually:
Required secrets:
AWS_ROLE_ARN- Created byaws-deployer setup-githubcommandS3_ARTIFACT_BUCKET- Created byaws-deployer setup-githubcommandAWS_REGION- Must be added manually
To add AWS_REGION manually:
- Go to
https://github.com/<owner>/<repo>/settings/secrets/actions - Click "New repository secret"
- Name:
AWS_REGION - Value:
<region>(e.g.,us-west-2) - Click "Add secret"
Verify all secrets exist:
Go to https://github.com/<owner>/<repo>/settings/secrets/actions and confirm:
- ✓
AWS_ROLE_ARN- IAM role ARN for GitHub OIDC - ✓
S3_ARTIFACT_BUCKET- S3 bucket name (e.g.,<bucket-name>) - ✓
AWS_REGION- AWS region (e.g.,<region>)
Step 3: Test the Workflow
Once all secrets are configured:
- Push a commit or click "Run workflow" in the Actions tab
- Monitor the deployment in GitHub Actions
- Check AWS Step Functions for execution status
Monitoring Deployments
After pushing code, monitor the deployment:
GitHub Actions
- Check the Actions tab:
https://github.com/<owner>/<repo>/actions - Review workflow logs for any errors
AWS Step Functions
# Get state machine ARN
STATE_MACHINE_ARN=$(aws ssm get-parameter \
--name "/<env>/aws-deployer/state-machine-arn" \
--query 'Parameter.Value' \
--output text)
# List recent executions
aws stepfunctions list-executions \
--state-machine-arn "${STATE_MACHINE_ARN}" \
--max-results 10
Lambda Logs
# S3 trigger logs
aws logs tail /aws/lambda/<env>-aws-deployer-s3-trigger --follow
# Build trigger logs
aws logs tail /aws/lambda/<env>-aws-deployer-trigger-build --follow
DynamoDB Build Records
# Check build history
aws dynamodb query \
--table-name <env>-aws-deployer--builds \
--key-condition-expression "pk = :pk" \
--expression-attribute-values '{":pk":{"S":"<repo-name>/dev"}}'
Troubleshooting
"Error: Could not assume role with OIDC"
Cause: GitHub OIDC not configured or secrets missing
Fix:
- Run the
aws-deployer setup-githubcommand shown above - Verify all required secrets exist in GitHub repository settings:
AWS_ROLE_ARNS3_ARTIFACT_BUCKETAWS_REGION
- Check IAM role trust policy allows your repository
aws iam get-role --role-name github-actions-<repo-name> \
--query 'Role.AssumeRolePolicyDocument'
"S3_ARTIFACT_BUCKET secret not found"
Cause: GitHub secret not configured
Fix: Run the aws-deployer setup-github command to create the secret, or manually add it:
- Go to
https://github.com/<owner>/<repo>/settings/secrets/actions - Click "New repository secret"
- Name:
S3_ARTIFACT_BUCKET - Value: Your S3 bucket name
S3 Upload Succeeds but Deployment Doesn't Start
Cause: S3 trigger Lambda not configured or wrong S3 path
Fix:
# Check S3 files were uploaded
aws s3 ls s3://<bucket-name>/<repo-owner>/<repo-name>/ --recursive
# Check S3 trigger Lambda logs
aws logs tail /aws/lambda/<env>-aws-deployer-s3-trigger --since 10m
CloudFormation Stack Fails
Check stack events:
# List stacks for this repo
aws cloudformation describe-stacks \
--query 'Stacks[?contains(StackName, `<repo-name>`)].{Name:StackName, Status:StackStatus}'
# Get detailed errors
aws cloudformation describe-stack-events \
--stack-name <env>-<repo-name> \
--max-items 20
Files Created
After running this skill, you should have:
-
.github/workflows/deploy.yml- GitHub Actions workflow -
cloudformation.template- CloudFormation template with required parameters -
cloudformation-params.json- Base parameters template -
cloudformation-params.dev.json- Dev environment parameters (empty initially) -
cloudformation-params.prd.json- Production environment parameters (empty initially)
Summary
This skill configured your repository for AWS Deployer by:
- ✓ Detecting repository information from Git
- ✓ Getting S3 bucket and AWS region (from environment variables or by asking)
- ✓ Creating GitHub Actions workflow
- ✓ Ensuring CloudFormation template has required parameters
- ✓ Creating parameter files for local testing
Next steps:
- Run
aws-deployer setup-githubcommand to configure GitHub OIDC - Add
AWS_REGIONGitHub secret manually - Verify all three secrets exist:
AWS_ROLE_ARN,S3_ARTIFACT_BUCKET,AWS_REGION - Push a commit to trigger your first deployment
- Add your infrastructure resources to
cloudformation.template - Add environment-specific parameters if needed
For infrastructure setup, use the setup-deployer skill.