Aws Serverless
CheckedHelps with AWS, serverless as part of deploying and managing cloud infrastructure workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add omer-metin/skills-for-antigravity --skill aws-serverless -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
omer-metin
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.
Automated safety checks
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 omer-metin/skills-for-antigravity at e8dcf4e873.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- e8dcf4e873
- Manifest
- skills/aws-serverless/SKILL.md
- Scanned
- 4 files, 1,516 lines
About this skill
What it does
This skill enables AI agents to interact with and manage AWS serverless resources. It allows for the creation, deployment, and monitoring of functions, APIs, and other serverless components using infrastructure-as-code principles. The agent can automate tasks such as provisioning Lambda functions, configuring API Gateway endpoints, and setting up DynamoDB tables.
When to use it
- Automated deployments: Deploy new versions of your serverless applications without manual intervention.
- Infrastructure management: Provision and configure AWS serverless resources based on defined specifications.
- Troubleshooting & Monitoring: Investigate performance issues or errors in existing serverless infrastructure.
- Cost optimization: Analyze resource usage and identify opportunities to reduce AWS spending.
Key capabilities
- Lambda function creation and deployment
- API Gateway configuration
- DynamoDB table management
- Infrastructure-as-code support
Example prompts
- "Deploy the 'order-processing' Lambda function from my repository."
- "Create a new DynamoDB table named 'user_data' with primary key 'user_id'."
- "Show me the logs for the 'payment-api' API Gateway endpoint."
Tips & gotchas
Requires appropriate AWS credentials configured within the AI agent environment. The skill operates based on infrastructure-as-code principles; familiarity with concepts like CloudFormation or Terraform is beneficial.