Solid Queue Setup
CheckedAutomates robust message queue setup with error handling and monitoring for reliable task processing.
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 thibautbaissac/rails_ai_agents --skill solid-queue-setup -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
thibautbaissac
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 thibautbaissac/rails_ai_agents at 03622f23b4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 03622f23b4
- Scanned
- 2 files, 538 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The solid-queue-setup skill enables the AI agent to configure and manage a Redis queue for asynchronous task processing. It facilitates reliable background job execution, ensuring tasks are processed even if the main application encounters issues. This improves responsiveness and prevents resource exhaustion by offloading long-running operations.
When to use it
- Handling email sending: Queue emails instead of sending them directly to avoid blocking user requests.
- Processing large datasets: Offload data processing tasks (e.g., image resizing, report generation) to a background queue.
- Running scheduled jobs: Schedule recurring tasks like database backups or cache invalidation using the queue.
- Managing API calls: Queue outgoing API requests to prevent rate limiting and improve system stability.
Key capabilities
- Redis queue configuration
- Asynchronous task processing
- Job scheduling
- Error handling for queued jobs
Example prompts
- "Set up a Redis queue named 'email_queue' with a priority of 5."
- "Enqueue the 'process_image' function to run asynchronously and add it to the 'image_processing' queue."
- “Create a scheduled job that runs every hour to clear out old log files, adding it to the ‘maintenance’ queue.”
Tips & gotchas
The agent requires access to a Redis server. Ensure proper authentication credentials are provided for secure queue management.