Agent skill · DevOps & Cloud

aws-resource-health-diagnose

Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.

GitHub68,948★ · +463/wk · 2 repos on radarProfile →
copilotMIT
Install
npx skills add github/awesome-copilot --skill aws-resource-health-diagnose --agent copilot

Same command for any agent — swap --agent for claude-code, codex, cursor.

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/aws-resource-health-diagnose/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 37,432 · +281 this week
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AWS Resource Health & Issue Diagnosis This workflow analyzes a specific AWS resource to assess its health status, diagnose potential issues using CloudWatch logs and metrics, and develop a comprehensive remediation plan for any problems discovered. ## Prerequisites - AWS CLI configured and authenticated - Target AWS resource identified (name, type, and optionally region/account) - CloudWatch logging and metrics enabled on the target resource ## Workflow Steps ### Step 1: Get AWS Diagnostic Best Practices Fetch `https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/` for monitoring and troubleshooting guidance to inform the diagnostic approach. ### Step 2: Resource Discovery & Identification Locate the target resource using the appropriate AWS CLI command for its type: ```bash # EC2 aws ec2 describe-instances --filters "Name=tag:Name,Values=<name>" # Lambda aws lambda get-function --function-name <name> # RDS aws rds describe-db-instances --db-instance-identifier <name> # ECS aws ecs describe-services --cluster <cluster> --services <name> # ALB aws elbv2 describe-load-balancers --names <name> # DynamoDB aws dynamodb describe-table --table-name <name> # SQS aws sqs get-que

What's inside
Steps it walks through
  1. Prerequisites
  2. Workflow Steps
  3. Step 1: Get AWS Diagnostic Best Practices
  4. Step 2: Resource Discovery & Identification
  5. Step 3: Health Status Assessment
  6. Step 4: Log & Metrics Analysis
  7. Step 5: Issue Classification & Root Cause Analysis
  8. Step 6: Generate Remediation Plan
  9. Step 7: Report & User Confirmation
  10. Error Handling
  11. Success Criteria
Commands it runs
EC2
aws ec2 describe-instances --filters "Name=tag:Name,Values=<name>"
Lambda
aws lambda get-function --function-name <name>
RDS
aws rds describe-db-instances --db-instance-identifier <name>
ECS
aws ecs describe-services --cluster <cluster> --services <name>
ALB
aws elbv2 describe-load-balancers --names <name>
More from awesome-copilot
All skills →
About this skill
What does the aws-resource-health-diagnose skill do?

Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.

How do I install it?

Run `npx skills add github/awesome-copilot --skill aws-resource-health-diagnose --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From github/awesome-copilot, a repository with 37,432 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going