promql-validator
Toolkit for validating and optimizing Prometheus queries.
Install
mkdir -p .claude/skills/promql-validator && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16307" && unzip -o skill.zip -d .claude/skills/promql-validator && rm skill.zipInstalls to .claude/skills/promql-validator
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Comprehensive toolkit for validating, optimizing, and understanding Prometheus Query Language (PromQL) queries. Use this skill when working with PromQL queries to check syntax, detect anti-patterns, identify optimization opportunities, and interactively plan queries with users.Key capabilities
- →Validate PromQL query syntax
- →Detect PromQL anti-patterns and inefficiencies
- →Suggest PromQL optimization opportunities
- →Translate PromQL queries into plain English explanations
- →Guide interactive query planning with users
How it works
The skill performs multi-level validation on PromQL queries, checking syntax and best practices. It then explains the query in plain English and engages the user in an interactive planning phase to refine their intent.
Inputs & outputs
When to use promql-validator
- →Validate promql query
- →Optimize prometheus monitoring
- →Debug promql performance
About promql-validator
Provides syntax checking, semantic validation, and anti-pattern detection for PromQL. It translates complex queries into plain English to help users understand performance impacts.
Comprehensive toolkit for validating, optimizing, and understanding Prometheus Query Language (PromQL) queries. Use this skill when working with PromQL queries to check syntax, detect anti-patterns, identify optimization opportunities, and interactively plan queries with users.
When not to use it
- →When the user wants to verify if metrics actually exist in Prometheus
- →When the user needs to validate label values against a specific schema
- →When the user needs to detect business logic errors in queries
Limitations
- →Metric type detection is heuristic-based and may not be accurate for custom metrics.
- →High cardinality detection is conservative and may flag legitimate use cases.
- →Semantic validation lacks runtime context and schema knowledge.
How it compares
This skill provides a structured, interactive process for validating and optimizing PromQL queries, including explanations and intent clarification, which goes beyond simple syntax checking to improve query effectiveness and user understand
Compared to similar skills
promql-validator side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| promql-validator (this skill) | 0 | 4mo | Review | Intermediate |
| transaction-correctness | 1 | 6mo | No flags | Advanced |
| collecting-infrastructure-metrics | 0 | 1mo | Review | Intermediate |
| kql | 0 | 4mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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