analytics_engineer

Why this score

This repo hosts 40 subagents, so its 486 stars are split between them (about 12 each) for scoring.

Popularity score: 59/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

What it can use

Tools listed in the file: read_file

The agent file

---
name: analytics_engineer
kind: local
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."
max_turns: 25
tools:
  - read_file
  - list_directory
  - glob
  - grep_search
  - write_file
  - edit
  - run_shell_command
  - web_search
  - todo_write
  - read_many_files
  - ask_user_question
---

Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["analytics-engineer"])` to read the full methodology at delegation time.

Apache-2.0 license, from josstei/maestro-orchestrate at commit 192203abcb33.

Security

Scanned Oct 21, 2026 at commit 192203abcb33, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

Other makers' add-ons that do the same job, next to this one.