Overview

Tools and resources for building Trigger.dev projects with AI coding assistants.

Quick setup

We provide multiple tools to help AI coding assistants write correct Trigger.dev code. Use one or all of them for the best developer experience.

1. Install the MCP Server

   Give your AI assistant direct access to Trigger.dev tools — search docs, trigger tasks, deploy projects, and monitor runs. Works with Claude Code, Cursor, Windsurf, VS Code (Copilot), and Zed.

   npx trigger.dev@latest install-mcp
   

   Learn more →

2. Install Skills

   Portable instruction sets that teach any AI coding assistant Trigger.dev best practices: writing tasks, realtime frontends, and chat.agent AI agents. They ship with the CLI, version-matched to your SDK, and install into Claude Code, Cursor, VS Code (Copilot), and Codex / AGENTS.md.

   npx trigger.dev@latest skills
   

   Learn more →

Skills and the MCP server

Skills and the MCP server do different jobs and work best together. Here’s how they compare:

	Skills	MCP Server
What it does	Drops skill files into your project that teach Trigger.dev patterns	Runs a live server your AI connects to
Installs to	.claude/skills/, .cursor/skills/, .github/skills/, .agents/skills/	mcp.json, ~/.claude.json, etc.
Updates	Re-run npx trigger.dev@latest skills, or auto-prompted on trigger dev	Always latest (uses @latest)
Best for	Teaching patterns and best practices	Live project interaction (deploy, trigger, monitor)
Works offline	Yes	No (calls Trigger.dev API)

Our recommendation: Install both. Skills teach your AI how to write Trigger.dev code; the MCP Server lets it do things in your project.

Project-level context snippet

If you prefer a lightweight/passive approach, paste the snippet below into a context file at the root of your project. Different AI tools read different files:

File	Read by
CLAUDE.md	Claude Code
AGENTS.md	OpenAI Codex, Jules, OpenCode
.cursor/rules/*.md	Cursor
.github/copilot-instructions.md	GitHub Copilot
CONVENTIONS.md	Windsurf, Cline, and others

Create the file that matches your AI tool (or multiple files if your team uses different tools) and paste the snippet below. This gives the AI essential Trigger.dev context without installing anything.

Copy the snippet

# Trigger.dev rules

## Imports

Always import from `@trigger.dev/sdk` — never from `@trigger.dev/sdk/v3` or use the deprecated `client.defineJob` pattern.

## Task pattern

Every task must be exported. Use `task()` from `@trigger.dev/sdk`:

```ts
import { task } from "@trigger.dev/sdk";

export const myTask = task({
  id: "my-task",
  retry: {
    maxAttempts: 3,
    factor: 1.8,
    minTimeoutInMs: 500,
    maxTimeoutInMs: 30_000,
  },
  run: async (payload: { url: string }) => {
    // No timeouts — runs can take as long as needed
    return { success: true };
  },
});
```

## Triggering tasks

From your backend (Next.js route, Express handler, etc.):

```ts
import type { myTask } from "./trigger/my-task";
import { tasks } from "@trigger.dev/sdk";

// Fire and forget
const handle = await tasks.trigger<typeof myTask>("my-task", { url: "https://example.com" });

// Batch trigger (up to 1,000 items)
const batchHandle = await tasks.batchTrigger<typeof myTask>("my-task", [
  { payload: { url: "https://example.com/1" } },
  { payload: { url: "https://example.com/2" } },
]);
```

### From inside other tasks

```ts
export const parentTask = task({
  id: "parent-task",
  run: async (payload) => {
    // Fire and forget
    await childTask.trigger({ data: "value" });

    // Wait for result — returns a Result object, NOT the output directly
    const result = await childTask.triggerAndWait({ data: "value" });
    if (result.ok) {
      console.log(result.output); // The actual return value
    } else {
      console.error(result.error);
    }

    // Or use .unwrap() to get output directly (throws on failure)
    const output = await childTask.triggerAndWait({ data: "value" }).unwrap();
  },
});
```

> Never wrap `triggerAndWait` or `batchTriggerAndWait` in `Promise.all` — this is not supported.

## Error handling

```ts
import { task, retry, AbortTaskRunError } from "@trigger.dev/sdk";

export const resilientTask = task({
  id: "resilient-task",
  retry: { maxAttempts: 5 },
  run: async (payload) => {
    // Permanent error — skip retrying
    if (!payload.isValid) {
      throw new AbortTaskRunError("Invalid payload, will not retry");
    }

    // Retry a specific block (not the whole task)
    const data = await retry.onThrow(
      async () => await fetchExternalApi(payload),
      { maxAttempts: 3 }
    );

    return data;
  },
});
```

## Schema validation

Use `schemaTask` with Zod for payload validation:

```ts
import { schemaTask } from "@trigger.dev/sdk";
import { z } from "zod";

export const processVideo = schemaTask({
  id: "process-video",
  schema: z.object({ videoUrl: z.string().url() }),
  run: async (payload) => {
    // payload is typed and validated
  },
});
```

## Waits

Use `wait.for` for delays, `wait.until` for dates, and `wait.forToken` for external callbacks:

```ts
import { wait } from "@trigger.dev/sdk";
await wait.for({ seconds: 30 });
await wait.until({ date: new Date("2025-01-01") });
```

## Configuration

`trigger.config.ts` lives at the project root:

```ts
import { defineConfig } from "@trigger.dev/sdk/build";

export default defineConfig({
  project: "<your-project-ref>",
  dirs: ["./trigger"],
});
```

## Common mistakes

1. **Forgetting to export tasks** — every task must be a named export
2. **Importing from `@trigger.dev/sdk/v3`** — this is the old v3 path; always use `@trigger.dev/sdk`
3. **Using `client.defineJob()`** — this is the deprecated v2 API
4. **Calling `task.trigger()` directly** — use `tasks.trigger<typeof myTask>("task-id", payload)` from your backend
5. **Using `triggerAndWait` result as output** — it returns a `Result` object; check `result.ok` then access `result.output`, or use `.unwrap()`
6. **Wrapping waits/triggerAndWait in `Promise.all`** — not supported in Trigger.dev tasks
7. **Adding timeouts to tasks** — tasks have no built-in timeout; use `maxDuration` in config if needed

llms.txt

We also publish machine-readable documentation for LLM consumption:

• trigger.dev/docs/llms.txt — concise overview
• trigger.dev/docs/llms-full.txt — full documentation

These follow the llms.txt standard and can be fed directly into any LLM context window.

Troubleshooting

AI keeps generating old v2/v3 code

Install Skills; they override the outdated patterns in the AI’s training data. The context snippet above is a quick alternative.

MCP server won't connect

1. Make sure you’ve restarted your AI client after adding the config
2. Run npx trigger.dev@latest install-mcp again — it will detect and fix common issues
3. Check that npx trigger.dev@latest mcp runs without errors in your terminal
4. See the MCP introduction for client-specific config details

Which tool should I install?

Both if possible:

• Skills to teach your AI how to write Trigger.dev code (tasks, realtime, chat.agent)
• MCP Server if you need to trigger tasks, deploy, and search docs from your AI

Next steps

MCP Server

Install and configure the MCP Server for live project interaction.

Skills

Install Trigger.dev agent skills into any AI coding assistant.

Writing tasks

Learn the task patterns your AI assistant will follow.