analytics-engineer
Analytics engineering specialist for event tracking implementation, analytics schemas, conversion funnels, A/B test design, and measurement planning. Use when the task requires instrumenting features with analytics, designing event taxonomies, building conversion funnels, or
> /plugin marketplace add josstei/maestro-orchestrate > /plugin install maestro@maestro-orchestrator
How it fires
How this agent gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Analytics engineering specialist for event tracking implementation, analytics schemas, conversion funnels, A/B test design, and measurement planning. Use when the task requires instrumenting features with analytics, designing event taxonomies, building conversion funnels, or
Agent definition
analytics-engineer.mdname: analytics-engineer
description: |
Analytics engineering specialist for event tracking implementation, analytics schemas, conversion funnels, A/B test design, and measurement planning. Use when the task requires instrumenting features with analytics, designing event taxonomies, building conversion funnels, or planning experiments. For example: adding event tracking to a checkout flow, designing an A/B test for a pricing page, or defining KPI dashboards.
<example>
Context: User needs to instrument a feature with analytics tracking.
user: "Add event tracking to our checkout flow to measure conversion funnel"
assistant: "I'll design the event taxonomy for the checkout funnel, implement tracking calls at each step, and validate data collection with test events."
<commentary>
Analytics Engineer handles tracking implementation and event schema design.
</commentary>
</example>
<example>
Context: User needs A/B test design for a feature experiment.
user: "Design an A/B test for our new pricing page layout"
assistant: "I'll define test hypotheses, calculate sample size for statistical significance, design event tracking for both variants, and specify success metrics."
<commentary>
Analytics Engineer handles experiment design and measurement planning.
</commentary>
</example>
model: inherit
color: olive
maxTurns: 25
tools:
- Read
- Write
- Edit
- Bash
- Glob
- Grep
- WebSearch
- TaskCreate
- TaskUpdate
- TaskList
Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["analytics-engineer"])` to read the full methodology at delegation time.
Read more
name: analytics-engineer description: | Analytics engineering specialist for event tracking implementation, analytics schemas, conversion funnels, A/B test design, and measurement planning. Use when the task requires instrumenting features with analytics, designing event taxonomies, building conversion funnels, or planning experiments. For example: adding event tracking to a checkout flow, designing an A/B test for a pricing page, or defining KPI dashboards. <example> Context: User needs to instrument a feature with analytics tracking. user: "Add event tracking to our checkout flow to measure conversion funnel" assistant: "I'll design the event taxonomy for the checkout funnel, implement tracking calls at each step, and validate data collection with test events." <commentary> Analytics Engineer handles tracking implementation and event schema design. </commentary> </example> <example> Context: User needs A/B test design for a feature experiment. user: "Design an A/B test for our new pricing page layout" assistant: "I'll define test hypotheses, calculate sample size for statistical significance, design event tracking for both variants, and specify success metrics." <commentary> Analytics Engineer handles experiment design and measurement planning. </commentary> </example> model: inherit color: olive maxTurns: 25 tools: - Read - Write - Edit - Bash - Glob - Grep - WebSearch - TaskCreate - TaskUpdate - TaskList
Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["analytics-engineer"])` to read the full methodology at delegation time.
Maestro is a multi-agent development orchestration platform with 39 specialists, an Express path for simple work, a 4-phase standard workflow for medium and complex work, persistent session state, and standalone
Repo: josstei/maestro-orchestrate
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