Skip to content
TrustedSkillsbeta
Back to all skills

Aws Serverless

Checked
dokhacgiakhoa·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 dokhacgiakhoa/agent-skills-4-vibe-coding-cli --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

dokhacgiakhoa

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 dokhacgiakhoa/antigravity-ide at c4a059bbf7.

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

Commit
c4a059bbf7
Manifest
.agent/skills/aws-serverless/SKILL.md
Scanned
21 files, 942 lines
Copies in repo
3 — 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 enables AI agents to interact with and manage AWS serverless resources. Specifically, it allows for deploying serverless applications using tools like Serverless Framework or AWS SAM, configuring API Gateway endpoints, and managing Lambda functions. It provides a streamlined way to automate common serverless development tasks directly within the agent’s workflow.

When to use it

  • Automated deployments: Deploy new versions of your serverless application with a simple command from the AI agent.
  • API endpoint configuration: Quickly create and modify API Gateway endpoints for your Lambda functions.
  • Lambda function management: Manage existing Lambda functions, including updating code or adjusting configurations.
  • Infrastructure as Code (IaC) workflows: Integrate serverless deployments into broader IaC pipelines managed by the AI agent.

Key capabilities

  • Serverless Framework deployment
  • AWS SAM deployment
  • API Gateway endpoint configuration
  • Lambda function management

Example prompts

  • "Deploy my Serverless application to AWS."
  • "Create a new API Gateway endpoint for my Lambda function 'myFunction'."
  • “Update the code in my ‘processData’ Lambda function.”

Tips & gotchas

  • Requires proper AWS credentials configured within the AI agent's environment.
  • Ensure your serverless application is properly set up with a Serverless Framework or SAM template for deployment.