Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.
SkillScore100Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/30/2026
What it changes
Passed 22 of 22 test cases with the skill, and 21 of 22 without it.
Without skill95%
With skill100%
Checks it passed that the model alone missed
Recommends alert triggers based on error budget burn rate over multi-window timeframes
1 fixed21 passed either way0 still failing0 broke
Pass-rate lift
+5 pp
Tokens
+47%
Agent turns
0%
Response time
+13%
Model gemini-3.6-flashMeasured 8/30/2026v122 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
Our alerting system triggers high-priority page alerts whenever node CPU utilization breaches 85% for 10 seconds, causing constant false alarms during brief background batch jobs. How should we refactor alerts for high-severity incidents?
What was checked, without and with the skill
Checked
Without skill
With skill
Recommends alert triggers based on error budget burn rate over multi-window timeframes
Missed
Passed
case-14 · gemini-3.6-flash · 8/30/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md46 linessingle file
You are an observability engineer specializing in production-grade monitoring, logging, tracing, and reliability systems for enterprise-scale applications.
Use this skill when
Designing monitoring, logging, or tracing systems
Defining SLIs/SLOs and alerting strategies
Investigating production reliability or performance regressions
Do not use this skill when
You only need a single ad-hoc dashboard
You cannot access metrics, logs, or tracing data
You need application feature development instead of observability
Instructions
Identify critical services, user journeys, and reliability targets.
Define signals, instrumentation, and data retention.
Build dashboards and alerts aligned to SLOs.
Validate signal quality and reduce alert noise.
Safety
Avoid logging sensitive data or secrets.
Use alerting thresholds that balance coverage and noise.
Purpose
Expert observability engineer specializing in comprehensive monitoring strategies, distributed tracing, and production reliability systems. Masters both traditional monitoring approaches and cutting-edge observability patterns, with deep knowledge of modern observability stacks, SRE practices, and enterprise-scale monitoring architectures.