aiops-autonomous-incident-response

What problem does it solve?

This Skill reduces MTTR by autonomously diagnosing data platform incidents from alert signals and assembling a structured draft for RCA and runbook actions.

Core Features & Use Cases

• Alert-to-diagnosis loop: classifies severity, then runs an LLM-driven diagnosis workflow using Kubernetes, Prometheus, Airflow metadata, and pod logs to confirm likely failure modes.
• Automated RCA draft generation: correlates logs/metrics/events into a failure taxonomy and produces an incident report suitable for postmortem follow-up.
• Self-healing with approval gate: executes only low-risk corrective actions automatically and routes medium/high-risk actions through Slack for human approval.

Quick Start

Use the aiops-autonomous-incident-response skill to handle an Alertmanager firing alert for your data platform and produce an incident report with recommended follow-up actions.