Bullmq
CheckedBullmq helps you quickly find and analyze historical Bitcoin market data for informed trading decisions.
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 jgamaraalv/ts-dev-kit --skill bullmq -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
jgamaraalv
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 jgamaraalv/ts-dev-kit at d4a6870312.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d4a6870312
- Manifest
- skills/bullmq/SKILL.md
- Scanned
- 5 files, 1,060 lines
About this skill
What it does
The bullmq skill provides a robust and reliable queueing system based on BullMQ, a Redis-based job processing framework. It allows AI agents to manage asynchronous tasks like sending emails, processing large datasets, or triggering complex workflows in the background without blocking the main execution thread. This ensures responsiveness and scalability for agent operations.
When to use it
- Background Task Processing: Offload time-consuming tasks like generating reports or training models from the main agent process.
- Email Sending: Reliably queue and send emails, even if the agent experiences temporary interruptions.
- Workflow Orchestration: Manage complex workflows involving multiple steps that need to be executed in a specific order.
- Data Processing Pipelines: Process large datasets in chunks without overwhelming the agent's resources.
Key capabilities
- Redis-backed queueing
- Job prioritization and scheduling
- Retry mechanisms for failed jobs
- Real-time job progress monitoring
- Concurrency control
Example prompts
- "Queue a report generation task with priority 'high'."
- "Send an email to [email protected] using the queued email service."
- "Check the status of job ID 12345."
Tips & gotchas
- Requires a running Redis instance for queue persistence and management.
- Consider setting appropriate concurrency limits to avoid overwhelming downstream services.