Does it require specific AI models to function?

It is compatible with leading LLM providers like Anthropic and OpenAI to power its cognitive reasoning and decision-making modules.

Which cloud environments does the AIOps Agent support?

It is designed with native support for Kubernetes and can be easily extended to work with various cloud providers and containerized environments.

Can this skill perform automated system fixes?

Yes, it includes a dedicated Action layer designed to trigger automated remediation scripts and self-healing protocols based on its diagnostic findings.

What makes this AIOps agent different from standard monitoring?

Unlike reactive tools, this agent uses machine learning for proactive alerting 1-3 hours in advance and provides LLM-driven root cause analysis to explain why issues occur.

What are the core dependencies for this skill?

The agent requires Python, FastAPI, the Kubernetes client, and data science libraries like Scikit-learn and Pandas for anomaly detection.

AIOps SRE Agent

Name: AIOps SRE Agent
Author: dvcrn

bydvcrn

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Analíticas y Monitorización

Automates proactive monitoring, intelligent root cause diagnosis, and self-healing remediation for complex cloud infrastructure.

The AIOps SRE Agent is a specialized tool designed to transform traditional IT operations into an intelligent, proactive system. By leveraging LLMs and machine learning, it enables engineers to anticipate system failures 1-3 hours before they occur, automatically perform root cause analysis (RCA) on logs and metrics, and execute autonomous remediation workflows. This skill integrates seamlessly with Kubernetes and Prometheus, providing a comprehensive 'Perception-to-Action' cycle that minimizes downtime and significantly reduces the manual troubleshooting burden on SRE teams.

Características Principales

01Deep integration with Kubernetes, Prometheus, and Scikit-learn

02Self-healing automation for autonomous infrastructure remediation

035 GitHub stars

04Automated LLM-powered root cause analysis (RCA) from logs and metrics

05Proactive anomaly detection with 1-3 hour early warning windows

06Multi-dimensional monitoring across metrics, logs, and system events

Casos de Uso

01Streamlining complex distributed system troubleshooting with AI insights

02Automating incident response and recovery for Kubernetes environments

03Predicting and preventing resource exhaustion before it impacts production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace aiops-agent

For use in Claude.ai and ChatGPT

Características Principales

01Deep integration with Kubernetes, Prometheus, and Scikit-learn

02Self-healing automation for autonomous infrastructure remediation

035 GitHub stars

04Automated LLM-powered root cause analysis (RCA) from logs and metrics

05Proactive anomaly detection with 1-3 hour early warning windows

06Multi-dimensional monitoring across metrics, logs, and system events

Casos de Uso

01Streamlining complex distributed system troubleshooting with AI insights

02Automating incident response and recovery for Kubernetes environments

03Predicting and preventing resource exhaustion before it impacts production

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace aiops-agent

For use in Claude.ai and ChatGPT