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Aws Serverless

Checked
jarmen423·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 jarmen423/skills --skill aws-serverless --full-depth -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

jarmen423

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 jarmen423/skills at d016f7d2c7.

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

Commit
d016f7d2c7
Manifest
downloaded-skills/backend-infra/aws-serverless/SKILL.md
Scanned
1 file, 310 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 interact with and manage AWS serverless resources. It can deploy, configure, and monitor functions, APIs, and other components within an AWS account. The agent can automate tasks like creating new Lambda functions or updating API Gateway configurations based on user requests.

When to use it

  • Automated deployments: Automatically deploy a new version of your serverless application when code changes are pushed.
  • Infrastructure as Code (IaC) management: Modify and manage existing AWS CloudFormation stacks that define your serverless infrastructure.
  • Troubleshooting & Monitoring: Retrieve logs and metrics for deployed Lambda functions to diagnose performance issues or errors.
  • API endpoint creation: Create new API Gateway endpoints with associated Lambda integrations.

Key capabilities

  • Deploying serverless applications
  • Managing AWS CloudFormation stacks
  • Retrieving Lambda function logs
  • Configuring API Gateway endpoints

Example prompts

  • "Deploy the latest version of my 'order-processing' application."
  • "Show me the error logs for my 'payment-service' Lambda function from yesterday."
  • "Create a new API endpoint named 'get-user' that triggers the 'getUserLambda' function."
  • “Update the CloudFormation stack ‘my-serverless-app’ to increase memory allocation on the Lambda functions.”

Tips & gotchas

  • Requires appropriate AWS credentials configured for the AI agent.
  • The skill relies on existing infrastructure defined in CloudFormation; it cannot create an entire AWS environment from scratch.