Analyze SLO timeline data over 28 days and generate optimization recommendations.
npx skills add https://github.com/grafana/gcx --skill slo-optimize
Please help me install this Agent Skill. Skill: slo-optimize Source: https://github.com/grafana/gcx/tree/main/claude-plugin/skills/slo-optimize Command: npx skills add https://github.com/grafana/gcx --skill slo-optimize
Analyzes SLO timeline data to identify trends, computes statistics over the last 28 days, and generates advisory recommendations backed by concrete metrics to help teams improve reliability without directly altering SLO definitions.
Provide an SLO UUID to gcx to generate a data-driven optimization plan and review the generated recommendations.
High-intent search queries and answers about installing and using this skill.
SLO optimization analyzes a 28-day timeline and burn rate to generate data-backed recommendations for objective tuning and alerting adjustments. It evaluates SLI behavior, remaining budget, and snapshots to quantify risk without altering definitions.
Analyzing SLO burn rate trends involves retrieving the definition and timeline to compute mean, min, max, and standard deviation over 28 days. This assessment provides advisory recommendations to balance reliability with feature velocity.
Actionable recommendations for SLO alerting adjustments are generated by assessing current SLI value, remaining budget, and 1-hour or 1-day burn rate snapshots. This data quantifies risk and stabilizes service performance.
Yes, providing the SLO UUID is required to fetch timelines and metric data from the target Grafana instance. The environment must be configured to retrieve the specific definition and current status for analysis.
No, SLO optimization provides advisory recommendations and guidance without directly altering SLO definitions. It generates suggestions for objective tuning, window changes, and groupByLabels enhancement based on observed trends.
Tune SLO windows and groupByLabels when 28-day timeline analysis reveals unstable SLI behavior or high burn rate variance. Advisory recommendations target these parameters to stabilize service performance and improve alerting accuracy.
grafanaManage Grafana SLO definitions with gcx YAML templates and dry-run validation.
therealbillConfigure Prometheus scrapes, Grafana dashboards, and Alertmanager rules for Temporal clusters.
h4vzzMonitor cloud infrastructure with metrics, logs, traces, and alerting.
mjunaidcaDefine SLOs, error budgets, and burn-rate alerts for production services.
