launchdarkly-metric-choose
Selects metrics for experiments, guarded rollouts, and release policies. Identifies metrics that existing release policies attach automatically before recommending additional measurements.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Selects metrics for experiments, guarded rollouts, and release policies. Identifies metrics that existing release policies attach automatically before recommending additional measurements.
Creates metrics for experiments or rollouts, including page views, clicks, conversions, and numeric or binary outcomes. Instruments events and configures the SDK and environment when needed, then verifies the metric.
Instruments actions and features in a codebase with LaunchDarkly track() calls. Helps confirm that the resulting events reach LaunchDarkly for measurement.
Selects AMIs and instance sizes and configures least-privilege IAM roles, hardened security groups, and encrypted EBS volumes. Includes resource tagging and cost-conscious deployment choices.
Uses the lavish-axi CLI to create rich HTML files for plans, comparisons, diagrams, tables, code diffs, and reports. Supports user annotations and feedback on visual responses.
Apply the Law of Common Region to visually group elements through a shared container, background, or border. Supports grouping in tight layouts where spacing alone is insufficient.
Apply the Law of Proximity when spacing must communicate which elements belong together. Distinguishes spacing-based grouping from grouping through containers or shared appearance.
Provides techniques for building a product's conceptual model. Focuses on objects, relationships, states, and shared vocabulary before deciding how an interface presents them.
Provides techniques for understanding a domain's concepts and boundaries. Identifies terminology conflicts and supplies the foundation for a product's conceptual model.
Provides techniques for defining interaction places and flows. Covers affordances, edge cases, and failure paths without committing to a visual form.
Provides orientation to the Layers of Product Design framework. Establishes the foundational context used by the other skills in the framework.
Provides techniques for planning research into what users actually do. Helps synthesize observations into grounded findings with explicit confidence ratings.
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