T

trigger-tasks

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143,890,500installs
Updated Aug 2026

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Description

# Trigger.dev Tasks Build durable background tasks that run reliably with automatic retries, queuing, and observability. ## When to Use - Creating background jobs or async workflows - Building AI agents that need long-running execution - Processing webhooks, emails, or file uploads - Scheduling recurring tasks (cron) - Any work that shouldn't block your main application ## Critical Rules 1. **Always use `@trigger.dev/sdk`** — never use deprecated `client.defineJob` 2. **Check `result.ok`** before accessing

Install trigger-tasks

Run this in your OpenClaw agent to add trigger-tasks from the ClawHub registry.

terminal
$openclaw skills install trigger-tasks

Requires ClawHub registry access. Review the security analysis below before installing.

Security Analysis

安全85/100

Open Source

Code is publicly available for audit.

Community Verified

Reviewed by the ClawHub community.

Community Reviews

Real user ratings only — separate from the editorial assessment and ClawHub signal.

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Frequently asked questions

Is trigger-tasks safe to install?

trigger-tasks has a SkillsReview security score of 85/100. It is open source and community-verified on ClawHub. Check the full Security Analysis on this page before installing.

How much does trigger-tasks cost?

trigger-tasks is free to install for OpenClaw via ClawHub.

What are the best alternatives to trigger-tasks?

You can compare trigger-tasks side by side with similar OpenClaw skills on the SkillsReview comparison page to find the best fit for your workflow.

How do I install trigger-tasks?

Install trigger-tasks from ClawHub at clawhub.ai/skills/trigger-tasks, or use the install action on this page to copy the command for your OpenClaw agent.

Community Signal

ClawHub Community Score6110.00 / 5.00
Installs143,890,500
Last UpdateAug 3, 2026
Actively maintained (0d ago)
ClawHub community score is a third-party marketplace signal. It is shown separately from SkillsReview editorial assessment and real user review averages.
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