Define analytics events, success metrics, and telemetry requirements for features.
npx skills add https://github.com/tomzx/agents --skill create-telemetry
Please help me install this Agent Skill. Skill: create-telemetry Source: https://github.com/tomzx/agents/tree/main/skills/create-telemetry Command: npx skills add https://github.com/tomzx/agents --skill create-telemetry
Defines how to measure feature usage by identifying analytics events, success metrics, funnel steps, and telemetry requirements before implementation begins.
Create a telemetry plan by listing events, success metrics, and instrumentation requirements, then save it to .sdlc/features/FEAT-NNNN-<slug>/telemetry.md.
High-intent search queries and answers about installing and using this skill.
To define a telemetry plan, identify user flows and system interactions, then document analytics events, success metrics, funnel steps, and counter metrics into a formal telemetry plan document for engineers to implement.
Event taxonomy is the structured classification of analytics events and their properties. You need it during feature scoping and design to ensure consistent measurement of adoption, usage, and reliability scenarios across web and mobile experiences.
Set up success metrics and funnel steps by mapping user flows and system interactions, identifying key conversion points, and defining counter metrics to guide instrumentation decisions before implementation begins.
Yes, this telemetry instrumentation approach is applicable for both web and mobile experiences, covering adoption, usage, and reliability scenarios during the feature scoping and design phases.
The best way to document analytics events and infrastructure needs is to produce a concrete telemetry plan detailing event taxonomy, properties, funnel steps, counter metrics, and infrastructure requirements, saved to a structured feature directory path.
Defining telemetry requirements during feature scoping ensures measurement is instrumented from day one, preventing post-implementation gaps where user flows and system interactions lack the necessary analytics events and success metrics to evaluate usage.
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