From aws-ec2
Use this skill whenever the user needs to provision an EC2 instance for Datadog monitoring. Triggers on mentions of EC2 setup, EC2 provisioning, Terraform EC2, AWS VM setup, or preparing an EC2 instance for agent installation. Also applies when the user wants to create infrastructure on AWS for a Datadog PoC.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aws-ec2:setup-ec2The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Provision and configure an EC2 instance on AWS for Datadog monitoring. Includes Terraform scripts for automated infrastructure provisioning.
Provision and configure an EC2 instance on AWS for Datadog monitoring. Includes Terraform scripts for automated infrastructure provisioning.
Use the bundled Terraform scripts in scripts/ to provision the EC2 instance with all required networking (VPC, subnet, security group, internet gateway).
cd scripts/
terraform init
terraform plan
terraform apply
The Terraform configuration creates:
See scripts/variables.tf for configurable parameters and scripts/outputs.tf for the instance's public IP.
*.datadoghq.com)# Verify SSH access
ssh -i <KEY_PATH> ubuntu@<EC2_PUBLIC_IP> 'echo "SSH connection successful"'
# Verify outbound connectivity to Datadog
ssh -i <KEY_PATH> ubuntu@<EC2_PUBLIC_IP> 'curl -s -o /dev/null -w "%{http_code}" https://api.datadoghq.com'
# Expected: 200 or 403 (reachable)
Cause: Security group missing SSH inbound rule, or wrong key pair. Fix: Add TCP port 22 inbound rule. Verify the key pair matches.
Cause: No internet gateway or outbound rules blocking HTTPS. Fix: Ensure the VPC has an internet gateway and the security group allows all outbound traffic.
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
npx claudepluginhub jek-bao-choo/datadog-agentic-plugins --plugin aws-ec2