Aws Sqs
CheckedProvides AWS guidance and assistance for deploying and managing cloud infrastructure.
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 thinkfleetai/thinkfleet-engine --skill aws-sqs -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
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.
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 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-sqs/SKILL.md
- Scanned
- 1 file, 49 lines
About this skill
What it does
This skill allows an AI agent to interact with Amazon Simple Queue Service (SQS). It can send messages to queues, receive messages from queues, and delete messages after processing. This enables asynchronous communication between different components of a system or application.
When to use it
- Decoupling Microservices: Use this skill when you need to pass data between microservices without direct dependencies.
- Background Task Processing: Offload long-running tasks (like image processing or report generation) to background workers via SQS.
- Event-Driven Architectures: Integrate with event-driven systems where events trigger actions through message queues.
- Buffering Incoming Requests: Use it to handle spikes in traffic by queuing requests and processing them later.
Key capabilities
- Send messages to an SQS queue.
- Receive messages from an SQS queue.
- Delete messages from an SQS queue after successful processing.
Example prompts
- "Send a message with the body 'Order processed' to the 'order-queue'."
- "Retrieve and process the next available message from the 'inventory-updates' queue."
- "Delete the message with ID '1234567890abcdef' from the 'error-log' queue."
Tips & gotchas
- Requires AWS credentials configured for the AI agent to access SQS.
- SQS is a "best effort" queue; messages might be delivered more than once, so ensure your processing logic is idempotent (safe to run multiple times).