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sre-engineer

Automate SLO and SLI management, incident response, and chaos experiments with Prometheus and Kubernetes.

Updated Mar 28, 2026
Search Tags:#sre#incident management#error budget#slo#sli#service reliability
One-click install
npx skills add https://github.com/saschadudkin-sketch/rezidence4 --skill sre-engineer-saschadudkin-sketch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sre-engineer
Source: https://github.com/saschadudkin-sketch/rezidence4/tree/main/.agents/skills/sre-engineer
Command: npx skills add https://github.com/saschadudkin-sketch/rezidence4 --skill sre-engineer-saschadudkin-sketch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires prometheus, kubernetes, python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of defining, managing, and improving service reliability for large-scale systems, reducing toil and enhancing efficiency.

Core Features & Use Cases

  • Service Level Objective (SLO) Management: Define, track, and verify SLOs and Service Level Indicators (SLIs).
  • Error Budget Allocation: Calculate and monitor error budgets based on SLOs.
  • Incident Response: Develop and execute incident response procedures.
  • Chaos Engineering: Implement chaos experiments to validate system resilience.
  • Toil Reduction: Automate repetitive tasks to minimize operational work.
  • Use Case: With this Skill, a team can define an SLO for API availability, track its performance over time, automatically adjust resources based on error budget usage, and conduct chaos experiments to simulate failures and ensure recovery processes are effective.

Quick Start

Use the sre-engineer skill to create a new SLO for your API with a target availability of 99.9%.

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 track SLOs and SLIs for services on Kubernetes?▼

You can define and track SLOs and SLIs for Kubernetes services by using automated Python scripts to configure monitoring targets, verify reliability metrics, and calculate error budgets against your availability targets.

What is the best way to automate error budget allocation and incident management?▼

Automating error budget allocation and incident management involves calculating remaining budgets from SLOs, triggering response procedures, and adjusting resources automatically to minimize operational toil.

Do I need Prometheus and Kubernetes to run chaos engineering experiments?▼

Yes, you need Prometheus for monitoring metrics and Kubernetes for orchestration to run chaos engineering experiments, validate system resilience, and ensure recovery processes function correctly.

Can I use Python scripts to reduce operational toil in SRE practices?▼

Yes, you can use Python scripts to reduce operational toil in SRE practices by automating repetitive configuration management tasks, multi-step workflows, and incident response procedures.

How does SLO management handle multi-step workflows with external tools?▼

SLO management handles multi-step workflows with external tools by automating the full reliability lifecycle, from defining indicators to executing chaos experiments and monitoring performance.

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