Analyze logs, metrics, and traces to pinpoint incident root causes.
npx skills add https://github.com/axiomhq/gilfoyle --skill gilfoyle
Please help me install this Agent Skill. Skill: gilfoyle Source: https://github.com/axiomhq/gilfoyle/tree/main Command: npx skills add https://github.com/axiomhq/gilfoyle --skill gilfoyle
Gilfoyle provides a data-driven approach to diagnosing root causes of incidents by querying and correlating observability data across logs, metrics, and traces, enabling faster restoration and learning.
Use Gilfoyle to kick off an investigation by initializing memory and running a few queries to identify failing components.
High-intent search queries and answers about installing and using this skill.
To pinpoint incident root causes from observability data, you apply hypothesis-driven queries across logs, metrics, and traces to systematically test and verify deterministic facts against your real system data.
Automating root-cause investigation during incident response involves running deterministic queries against observability data to test hypotheses, then persisting verified facts to memory to accelerate future debugging.
Yes, this SRE investigation skill correlates existing logs, metrics, and traces by running unified deterministic queries across your observability data to identify failing components during incidents.
You start an SRE investigation by initializing memory and running a few deterministic queries against your observability data to systematically test hypotheses and identify failing components.
Yes, root-cause analysis memory persists verified facts, patterns, and queries between incident response investigations, enabling faster restoration and accelerated learning for future incidents.
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