·python-test-micrometer-testing-metrics
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python-test-micrometer-testing-metrics

Tests custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles and histograms, or asserting metric behavior without full Spring context. Essential for ensuring metrics are accurately recorded in business logic.

4Installs·0Trend·@dawiddutoit

Installation

$npx skills add https://github.com/dawiddutoit/custom-claude --skill python-test-micrometer-testing-metrics

How to Install python-test-micrometer-testing-metrics

Quickly install python-test-micrometer-testing-metrics AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/dawiddutoit/custom-claude --skill python-test-micrometer-testing-metrics
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: dawiddutoit/custom-claude.

SKILL.md

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Quick Start → What Is This | When to Use | Simple Example

How to Implement → Step-by-Step | Test Registry Setup | Examples

Testing metrics requires explicit registry setup since Micrometer doesn't auto-wire in unit tests. This skill shows how to verify that custom metrics are correctly recorded in unit tests (SimpleMeterRegistry), integration tests (@AutoConfigureMetrics), and percentile/histogram calculations.

Tests custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles and histograms, or asserting metric behavior without full Spring context. Essential for ensuring metrics are accurately recorded in business logic. Source: dawiddutoit/custom-claude.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/dawiddutoit/custom-claude --skill python-test-micrometer-testing-metrics
Category
</>Dev Tools
Verified
First Seen
2026-02-25
Updated
2026-03-11

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Quick answers

What is python-test-micrometer-testing-metrics?

Tests custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles and histograms, or asserting metric behavior without full Spring context. Essential for ensuring metrics are accurately recorded in business logic. Source: dawiddutoit/custom-claude.

How do I install python-test-micrometer-testing-metrics?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/dawiddutoit/custom-claude --skill python-test-micrometer-testing-metrics Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/dawiddutoit/custom-claude