render-debug

Diagnose Render deployment failures by analyzing logs, metrics, and database state.

Updated Jun 11, 2026
One-click install
npx skills add https://github.com/dnzengou/agentbot-opensource --skill render-debug-dnzengou
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: render-debug
Source: https://github.com/dnzengou/agentbot-opensource/tree/main/skills/render-debug
Command: npx skills add https://github.com/dnzengou/agentbot-opensource --skill render-debug-dnzengou

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires render-cli, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you debug failed Render deployments by analyzing logs, metrics, and database state. It identifies errors and suggests fixes, which is useful when deployments fail, services won't start, or users mention errors, logs, or debugging.

Core Features & Use Cases

  • Log Analysis: Inspect build and runtime logs for error patterns.
  • Metrics Analysis: Check CPU, memory, and HTTP latency metrics for performance issues.
  • Database Debugging: Diagnose and fix PostgreSQL database issues on Render.
  • Use Case: If your application on Render is not starting or failing, this skill can help you identify the root cause by analyzing logs, metrics, and database state.

Quick Start

Use the render-debug skill to analyze logs for the service with ID 'service-id'.

Frequently Asked Questions about render-debug

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

FAQPage Schema
How do I debug a failed Render deployment from logs?

To debug a failed Render deployment, you analyze build and runtime logs to identify error patterns. This process inspects environment configuration, port binding issues, and missing dependencies to pinpoint the root cause of the failure.

Why is my Render service not starting or crashing on boot?

A Render service fails to start due to environment configuration errors, port binding issues, or missing dependencies. Log and metrics analysis helps diagnose these startup failures by checking HTTP latency and resource constraints.

How to diagnose Render PostgreSQL database connection problems?

Diagnosing Render PostgreSQL database connection problems involves inspecting database state and runtime logs. This analysis identifies connection errors and suggests fixes for database issues affecting your application.

Do I need render-cli to analyze Render deployment metrics?

Yes, you need render-cli or access to Render's MCP tools to analyze deployment metrics. These tools provide the necessary interface to fetch CPU, memory, and HTTP latency data for performance analysis.

What is the best way to check Render CPU and memory metrics for performance issues?

The best way to check Render CPU and memory metrics is by using CLI tools to query service performance data. Metrics analysis reveals resource bottlenecks causing HTTP latency and application slowdowns.