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Aws Serverless Eda

Listed
microck·vlatest·cloud

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 microck/ordinary-claude-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

microck

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 microck/ordinary-claude-skills at 1056d293d4.

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

Commit
1056d293d4
Manifest
skills_all/aws-skills/skills/aws-serverless-eda/SKILL.md
Scanned
0 files
Copies in repo
2 — all of them scanned
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, including Lambda function metrics and API Gateway logs. It can identify performance bottlenecks, error patterns, and potential cost optimization opportunities within your serverless architecture. The agent can then generate reports or suggest remediation steps based on the analysis.

When to use it

  • Troubleshooting slow Lambda functions: Investigate why a specific Lambda function is taking longer than expected to execute.
  • Identifying API Gateway errors: Analyze API Gateway logs to pinpoint the source of 500 errors or other issues impacting your APIs.
  • Cost optimization analysis: Determine which serverless resources are consuming the most budget and suggest ways to reduce costs.
  • Proactive performance monitoring: Regularly monitor key metrics to identify potential problems before they impact users.

Key capabilities

  • Data ingestion from AWS services (Lambda, API Gateway)
  • Metric aggregation and analysis
  • Error pattern identification
  • Report generation
  • Cost optimization suggestions

Example prompts

  • "Analyze the performance of my Lambda function 'order-processor' over the last 24 hours."
  • "Show me the error rates for API Gateway endpoint '/users'."
  • "What are the top three most expensive AWS serverless resources in my account?"
  • “Identify any unusual spikes in latency for my ‘payment-service’ Lambda function.”

Tips & gotchas

  • Requires appropriate AWS credentials with read access to CloudWatch logs and metrics.
  • The accuracy of analysis depends on the completeness and quality of your logging configuration.