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Aws Serverless

Checked
xfstudio·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 xfstudio/skills --skill aws-serverless -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

xfstudio

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 xfstudio/skills at 1bf6044db2.

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

Commit
1bf6044db2
Manifest
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, update, and monitor serverless applications built using services like Lambda, API Gateway, and DynamoDB. The agent can also retrieve information about existing serverless infrastructure, such as function configurations and database schemas.

When to use it

  • Automated deployments: Automatically deploy new versions of your serverless application whenever code changes are pushed.
  • Infrastructure monitoring: Get real-time updates on the health and performance of your AWS Lambda functions and API Gateways.
  • Resource provisioning: Quickly create new DynamoDB tables or configure API Gateway endpoints based on specific requirements.
  • Troubleshooting: Diagnose issues in your serverless applications by retrieving logs and metrics from AWS services.

Key capabilities

  • Deploying serverless applications
  • Updating existing deployments
  • Monitoring function performance
  • Retrieving infrastructure information (e.g., Lambda configurations, DynamoDB schemas)

Example prompts

  • "Deploy the latest version of my 'order-processing' application to AWS."
  • "Show me the error logs for my 'user-authentication' Lambda function."
  • "Create a new DynamoDB table named 'product_catalog' with these attributes..."
  • “What is the current memory allocation for my ‘payment-processor’ lambda?”

Tips & gotchas

Requires appropriate AWS credentials and permissions to be configured within the AI agent environment. The skill may require familiarity with AWS serverless architecture concepts.