sre-engineer

Manage service level objectives for production systems with monitoring and alerting.

2|Updated Jun 29, 2026
One-click install
npx skills add https://github.com/Axel-DaMage/opencode-config --skill sre-engineer-axel-damage
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sre-engineer
Source: https://github.com/Axel-DaMage/opencode-config/tree/main/skills/sre-engineer
Command: npx skills add https://github.com/Axel-DaMage/opencode-config --skill sre-engineer-axel-damage

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires prometheus, alertmanager, kubectl, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you define and manage service level objectives (SLOs) for your production systems, ensuring reliability and performance.

Core Features & Use Cases

  • SLO Definition: Create and manage SLOs with specific SLIs and targets.
  • Monitoring & Alerting: Implement monitoring and alerting based on SLOs.
  • Automation: Automate repetitive tasks and reduce toil.
  • Chaos Engineering: Test system resilience with controlled experiments.
  • Use Case: Use this Skill to define an SLO for system availability and implement monitoring and alerting to ensure it's met.

Quick Start

Use the sre-engineer skill to define an SLO for availability at 99.9% over a 30-day window.

Frequently Asked Questions about sre-engineer

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

FAQPage Schema
How do I define and manage service level objectives for production systems?

To define service level objectives, you establish specific service level indicators and targets, then implement monitoring and alerting to track SLO compliance over a set time window. This ensures production system reliability and performance.

What is the best way to set up monitoring and alerting based on SLOs?

Setting up monitoring and alerting based on SLOs requires configuring tools like Prometheus and Alertmanager to track service level indicators. This approach automates repetitive tasks and reduces operational toil.

Does this approach work with kubectl and Prometheus for SLO compliance?

Yes, managing SLO compliance works directly with kubectl and Prometheus. These tools provide the necessary configuration management and system monitoring capabilities required to maintain production system reliability.

How do I test system resilience using chaos engineering?

You test system resilience by running controlled chaos engineering experiments against your production systems. This validates whether your defined SLOs and alerting mechanisms can withstand unexpected failures.

Why automate repetitive tasks when managing service level objectives?

Automating repetitive tasks when managing service level objectives significantly reduces operational toil. This allows you to focus on maintaining SLO compliance and improving system reliability rather than manual configuration.