Agent Skills

trigger-setup

Best practices for building AI agents and background jobs with Trigger.dev. Use when creating durable tasks, scheduling workflows, or integrating with the Trigger.dev SDK.

설치
CLI
npx skills add https://github.com/triggerdotdev/skills --skill trigger-setup

CLI를 사용하여 이 스킬을 설치하고 작업 공간에서 SKILL.md 워크플로 사용을 시작하세요.

최근 업데이트: 4/22/2026

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Trigger.dev agent skills

Agent skills for building AI agents, workflows and durable background tasks with Trigger.dev.

Installation

# Install all skills
npx skills add triggerdotdev/skills

# Or install specific skills
npx skills add triggerdotdev/skills --skill trigger-setup
npx skills add triggerdotdev/skills --skill trigger-tasks
npx skills add triggerdotdev/skills --skill trigger-config
npx skills add triggerdotdev/skills --skill trigger-agents
npx skills add triggerdotdev/skills --skill trigger-realtime
npx skills add triggerdotdev/skills --skill trigger-cost-savings

Available Skills

trigger-setup

Use when getting started with Trigger.dev:

  • Installing the SDK
  • Running npx trigger init
  • Creating trigger.config.ts
  • Project structure
  • First task walkthrough
  • Environment variables

trigger-tasks

Use when creating background jobs, async workflows, or scheduled tasks. Core patterns for building durable tasks:

  • Basic and schema-validated tasks
  • Triggering tasks (single, batch, with wait)
  • Waits and checkpointing
  • Concurrency and queues
  • Debouncing and idempotency
  • Error handling and retries
  • Scheduled tasks (cron)
  • Metadata and progress tracking

trigger-config

Use when setting up trigger.config.ts or adding build extensions:

  • Build extensions (Prisma, Playwright, FFmpeg, Python)
  • System packages and additional files
  • Environment variable sync
  • Telemetry integration
  • Global lifecycle hooks

trigger-agents

Use when building LLM-powered workflows, orchestration, or multi-step AI agents:

  • Prompt chaining with validation gates
  • Routing (classify → dispatch)
  • Parallelization with batch operations
  • Orchestrator-workers (fan-out/fan-in)
  • Evaluator-optimizer loops
  • Human-in-the-loop with waitpoints

trigger-realtime

Use when subscribing to task runs in real-time from frontend or backend:

  • Progress indicators and live dashboards
  • React hooks for triggering and monitoring tasks
  • Streaming AI/LLM responses to UI
  • Wait tokens for human-in-the-loop workflows

trigger-cost-savings

Use when analyzing tasks and runs for cost optimization. Requires Trigger.dev MCP tools for run analysis:

  • Right-sizing machine presets
  • Identifying excessive retries and missing abort conditions
  • Finding missing debounce, idempotency, and maxDuration
  • Detecting polling loops that should use waitpoints
  • Analyzing run data for high-cost tasks and failure patterns
  • Schedule frequency review

Install MCP tools: npx trigger.dev@latest install-mcp

What is Trigger.dev?

Trigger.dev is a durable execution platform for AI agents, workflows and background tasks. Long-running TypeScript functions with automatic retries, queuing, and real-time observability.

Key features:

  • Durable execution — Tasks survive restarts and scale automatically
  • Automatic retries — Exponential backoff with configurable retry policies
  • Concurrency control — Queues and rate limiting built-in
  • Long waits — Tasks can wait for up to a year
  • Real-time — Subscribe to task progress from anywhere
  • Multi-environment — Dev, staging, and production from one dashboard
  • No infrastructure to manage — our cloud product is fully managed
  • Open-source — The platform can also be self-hosted on your own infrastructure

Resources