Aws Serverless Eda
Helps with AWS, serverless as part of deploying and managing cloud infrastructure workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add commandcodeai-aws-serverless-eda npx -- -y @trustedskills/commandcodeai-aws-serverless-eda
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"commandcodeai-aws-serverless-eda": {
"command": "npx",
"args": [
"-y",
"@trustedskills/commandcodeai-aws-serverless-eda"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows AI agents to analyze AWS Serverless application data and generate insights. It can extract metrics from CloudWatch logs, identify performance bottlenecks in Lambda functions, and provide recommendations for optimization. The skill is designed to simplify the process of exploratory data analysis (EDA) on serverless architectures.
When to use it
- Troubleshooting slow Lambda function execution: Use this skill to pinpoint the cause of latency issues within your serverless application.
- Identifying cost optimization opportunities: Analyze CloudWatch metrics to discover areas where resource usage can be reduced, lowering AWS costs.
- Understanding API Gateway performance: Gain insights into request latencies and error rates for APIs built on AWS Serverless.
- Proactive monitoring of serverless applications: Set up automated analysis to detect anomalies and potential problems before they impact users.
Key capabilities
- CloudWatch log parsing
- Lambda function performance analysis
- API Gateway metric extraction
- Performance bottleneck identification
- Optimization recommendations
Example prompts
- "Analyze CloudWatch logs for my Lambda function 'process-orders' and identify any error patterns."
- "Show me the average execution time of my API Gateway endpoint '/products'."
- “What are the top 5 most expensive functions in my serverless application?"
Tips & gotchas
- Ensure your AI agent has appropriate AWS credentials configured to access CloudWatch logs and metrics.
- The accuracy of insights depends on the quality and completeness of data available in CloudWatch.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.