launchdarkly-metric-instrument

Part of LaunchDarkly's official agent skills collection encoding repeatable workflows for feature flags, AI configs, and onboarding, enabling coding agents to execute LaunchDarkly tasks safely and consistently.

A skill for auditing LaunchDarkly feature flags to find stale or launched flags and assess removal readiness, part of LaunchDarkly's public agent skills collection.

Safely removes feature flags from code using LaunchDarkly as the authoritative source for determining when and how to clean up flags.

LaunchDarkly's public collection of AI agent skills and playbooks that encode repeatable workflows for working with LaunchDarkly feature flags safely and consistently.

Part of the LaunchDarkly Agent Skills collection, providing repeatable workflows for LaunchDarkly flag targeting configuration so coding agents can execute feature flag tasks safely and consistently.

Part of LaunchDarkly's public collection of agent skills encoding repeatable workflows for feature flag management, AI Config creation and A/B variation testing, metrics, and experimentation — enabling coding agents to interact with LaunchDarkly safely and consistently.

An official LaunchDarkly agent skill for creating metrics, part of a collection of modular playbooks that teach AI agents repeatable workflows for feature flag management, AI configs, and experimentation.

LaunchDarkly's public collection of AI agent skills and playbooks that encode repeatable workflows for working with LaunchDarkly feature flags, so coding agents can execute common tasks safely and consistently.

A LaunchDarkly agent skill that encodes repeatable workflows for creating AI configurations, enabling coding agents to execute common LaunchDarkly tasks safely and consistently following the Agent Skills Open Standard.

A skill for working with LaunchDarkly AI configuration projects, part of LaunchDarkly's public collection of agent skills that encode repeatable workflows for working with LaunchDarkly feature flags and experimentation safely and consistently.