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Aws Serverless Eda

Checked
commandcodeai·vlatest·cloud·MIT

Helps with AWS, serverless as part of deploying and managing cloud infrastructure workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add commandcodeai/agent-skills --skill aws-serverless-eda -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

commandcodeai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned commandcodeai/agent-skills at f490dd9016.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f490dd9016
Manifest
skills/aws-serverless-eda/SKILL.md
Scanned
7 files, 5,166 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

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.