mimir-prometheus-troubleshoot
CommunityMaster PromQL, optimize Mimir/Prometheus queries.
Authortimbuchinger
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you craft efficient PromQL queries and troubleshoot metric issues in Mimir and Prometheus, preventing high-cardinality problems and ensuring accurate, performant monitoring. It eliminates guesswork in metric analysis.
Core Features & Use Cases
- Efficient PromQL Query Building: Guides in constructing precise queries for error rates, latency percentiles, and other critical metrics.
- Metric Troubleshooting: Helps diagnose missing data, gaps, and other issues in your Mimir/Prometheus setup.
- Cardinality Optimization: Provides best practices to avoid high-cardinality labels that can degrade performance.
- Use Case: You need to calculate the 95th percentile latency for your 'frontend' service but are unsure how to write an efficient PromQL query. This Skill guides you to use
histogram_quantilewith appropriate aggregations and time ranges.
Quick Start
Craft a PromQL query to show the error rate for the 'payments' service in production over the last 5 minutes.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mimir-prometheus-troubleshoot Download link: https://github.com/timbuchinger/loadout/archive/main.zip#mimir-prometheus-troubleshoot Please download this .zip file, extract it, and install it in the .claude/skills/ directory.