launchdarkly-metric-choose

Name: launchdarkly-metric-choose
Availability: InStock
Author: LaunchDarkly

Inventory LaunchDarkly metrics and validate event health for experiments.

25|8|Updated Feb 3, 2026

Search Tags:#planning #metrics #experiments #guarded-rollouts #release-policies #event-health

Ready to run

npx skills add https://github.com/launchdarkly/ai-tooling --skill launchdarkly-metric-choose

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: launchdarkly-metric-choose
Source: https://github.com/launchdarkly/ai-tooling/tree/main/skills/metrics/launchdarkly-metric-choose
Command: npx skills add https://github.com/launchdarkly/ai-tooling --skill launchdarkly-metric-choose

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Inventory metrics and guidance to help teams select the right measurements for LaunchDarkly experiments, guarded rollouts, and release policies.

Core Features & Use Cases

Inventory available metrics and assess event health to determine which metrics are viable.
Surface auto-attached metrics from existing release policies and provide actionable recommendations for additional metrics tailored to experiments or rollouts.
Provide guidelines for 2–3 core metrics and explain how to validate them within policy constraints.

Quick Start

Describe the metric options and provide a plan for auto-attached and recommended metrics.

Frequently Asked Questions about launchdarkly-metric-choose

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I choose the right metrics for LaunchDarkly experiments?▼

Choosing the right metrics for LaunchDarkly experiments involves inventorying available metrics, assessing event health, and surfacing auto-attached metrics from existing release policies to validate viable measurements.

What metrics should I track for a guarded rollout?▼

For a guarded rollout, you should track metrics auto-attached by existing release policies and validate 2–3 core metrics to ensure they align with policy constraints and accurately measure rollout success.

How do I validate event health before running an experiment?▼

Validating event health requires cross-checking available metrics against event activity to determine viability, ensuring the data accurately reflects the experiment or release policy measurements.

Can I use existing release policies to automatically attach metrics?▼

Yes, existing release policies automatically attach metrics to experiments and guarded rollouts, which you can surface alongside actionable recommendations for additional metrics tailored to your specific rollout.

What is the best way to plan metrics for release policies?▼

The best way to plan metrics for release policies is to inventory available options, validate metric health within policy constraints, and establish 2–3 core metrics with clear guidelines for measurement.

Why are my LaunchDarkly experiment metrics not capturing event activity?▼

Metrics may not capture event activity if event health is poor or metric instrumentation is missing, requiring you to validate metric health and follow guided next steps to properly instrument needed metrics.