trigger-dev-tasks
Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
182 skills found
Expert assistant for designing and optimizing production-grade Trigger.dev background jobs, AI workflows, and resilient asynchronous task architectures in TypeScript.
Guide for implementing a new AI coding agent analyzer in Splitrail to track token usage, costs, and performance metrics.
Build, optimize, and maintain production-ready backend systems using Node.js, Python, Go, and Rust. Includes API design, database management, security, and DevOps best practices.
High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.
A connectionless, HTTP-based rate limiting SDK for TypeScript, ideal for serverless, edge functions, and distributed environments using Upstash Redis.
Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.
Initialize and configure Trigger.dev in your project. Essential for setting up the SDK, project configuration, directory structure, and your first background task.
Python coding assistant providing best practices, PEP 8 enforcement, automated testing with pytest, and dependency management using uv.
Run, debug, and manage DBHub tests including unit, integration with Testcontainers, and database-specific suites. Perfect for verifying code changes and troubleshooting database connector issues.
Orchestrate complex multi-agent swarms with topologies like mesh, hierarchical, and star for research, development, and testing workflows.
Queen-led multi-agent orchestration for Claude Code, featuring Byzantine consensus, persistent collective memory, and adaptive task distribution for complex software projects.
Automate the migration of Netflix Conductor workflows to Temporal Python, including server orchestration, worker management, and workflow troubleshooting.