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Aws Api Gateway

Checked
thinkfleetai·vlatest·cloud

Helps with AWS, API 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 thinkfleetai/thinkfleet-engine --skill aws-api-gateway -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

thinkfleetai

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 thinkfleetai/thinkfleet-engine at 1256c5192f.

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

Commit
1256c5192f
Manifest
skills/aws-api-gateway/SKILL.md
Scanned
1 file, 44 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 AWS API Gateway. It enables creating, updating, and deleting APIs, as well as managing resources like methods and integrations. The agent can also retrieve information about existing API Gateways and their configurations.

When to use it

  • Automated Deployment: Automate the creation of new REST APIs for microservices or backend applications.
  • API Management: Manage existing AWS API Gateway instances, including updating resource paths or integration types.
  • Infrastructure as Code (IaC): Define and manage your API infrastructure using natural language prompts instead of complex configuration files.
  • Troubleshooting: Retrieve details about an API's configuration to diagnose issues or understand its setup.

Key capabilities

  • Create new APIs
  • Update existing APIs
  • Delete APIs
  • Manage resources (methods, integrations)
  • Retrieve API Gateway information

Example prompts

  • "Create a new REST API named 'MyServiceAPI' in the us-east-1 region."
  • "Update the integration type for the '/users' resource to Lambda."
  • "Delete the API Gateway named 'LegacyAPI'."
  • “What is the current stage of MyServiceAPI?”

Tips & gotchas

  • Requires appropriate AWS credentials and permissions configured for the AI agent.
  • Be mindful of region-specific configurations when creating or managing resources.