Diagnose production incidents by analyzing logs, metrics, and traces to identify root cause.
npx skills add https://github.com/tonone-ai/tonone --skill vigil-incident
Please help me install this Agent Skill. Skill: vigil-incident Source: https://github.com/tonone-ai/tonone/tree/main/team/vigil/skills/vigil-incident Command: npx skills add https://github.com/tonone-ai/tonone --skill vigil-incident
Incident response — diagnose production issues, find root cause, propose fix with rollback.
Follow the incident response protocol by gathering logs, metrics, and traces, then identify root cause and outline a safe rollback plan.
High-intent search queries and answers about installing and using this skill.
To diagnose a production incident, you collect logs, metrics, and traces to identify the root cause. This process involves environment detection, symptom gathering, and reviewing observability data to assess the blast radius across impacted services.
The best way to plan a rollback is to determine the root cause through trace analysis and then generate a safe rollback plan. This includes creating runbooks for remediation and documenting the incident response steps for post-incident review.
Root-cause analysis works by gathering symptoms and detecting environment configurations to locate impacted services. It correlates logs, metrics, and traces across deployments and infrastructure to pinpoint the exact failure point.
Yes, you can use incident response runbooks to guide postmortem documentation. The process generates post-incident documentation that outlines the root cause, rollback planning, and remediation steps taken during the production incident.
To assess blast radius, you perform environment detection and symptom gathering to identify impacted services. Log analysis, metrics review, and trace tracing are then applied to evaluate the extent of the failure across your infrastructure.
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