trigger-cost-savings

Analyzes Trigger.dev tasks, schedules, and runs to identify cost optimization opportunities.

Updated Sep 6, 2026
One-click install
npx skills add https://github.com/inventashif/helpful-code-sidekick --skill trigger-cost-savings-inventashif
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trigger-cost-savings
Source: https://github.com/inventashif/helpful-code-sidekick/tree/main/scripts/hackerai/.agents/skills/trigger-cost-savings
Command: npx skills add https://github.com/inventashif/helpful-code-sidekick --skill trigger-cost-savings-inventashif

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Trigger.dev workloads can accumulate unnecessary spend through oversized machines, missing timeouts, excessive retries, and over-frequent schedules. This Skill audits your task configurations and live run data to surface concrete cost reduction opportunities with prioritized recommendations. ## Core Features & Use Cases - Static Code Analysis: Scans task source files for oversized machine presets, missing maxDuration, excessive retries, missing debounce, and polling loops that waste compute. - Live Run Analysis via MCP: Uses Trigger.dev MCP tools (list_runs, get_run_details, get_current_worker) to identify expensive tasks, failure patterns, and over-provisioned machines from actual usage data. - Prioritized Recommendations: Generates a cost optimization report ranked by impact, with code snippets for right-sizing machines, adding debounce, and setting idempotency keys. - Use Case: Your monthly Trigger.dev bill spiked unexpectedly. Run this Skill to discover that an image-processing task on large-2x averages only 2 seconds per run, and get a recommendation to switch to small-2x for a ~16x cost reduction on that task. ## Quick Start Analyze my Trigger.dev tasks and recent runs to find ways to reduce my monthly spend.

Frequently Asked Questions about trigger-cost-savings

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce Trigger.dev costs?

Audit tasks for oversized machine presets, missing maxDuration limits, excessive retries, and missing debounce on high-frequency triggers. Analyze run history to find tasks with high compute time or failure rates, then right-size machines and add idempotency keys to expensive operations.

How to right-size Trigger.dev machine presets?

Compare actual run durations and resource usage against the configured machine preset. Tasks on large-2x that finish in under a second or are I/O-bound should move to small-1x or small-2x, since larger presets cost up to 16x more per second of compute.

Does this cost analysis require the Trigger.dev MCP server?

Live run analysis requires the Trigger.dev MCP server, installed via npx trigger.dev@latest install-mcp. Without MCP tools, the Skill can still perform static analysis of task source code for issues like missing maxDuration or polling loops.

Why are my Trigger.dev tasks wasting compute on retries?

Tasks retry permanent failures when maxAttempts is high and no AbortTaskRunError is thrown for known non-retryable errors. Set realistic retry limits and use catchError to abort on permanent failures like NOT_FOUND or UNAUTHORIZED responses.

When should I use wait.for instead of polling in Trigger.dev?

Use wait.for instead of setTimeout or sleep loops whenever the delay exceeds 5 seconds. Waits longer than 5 seconds are checkpointed and incur no compute charges, while polling loops continuously burn billable compute time.