data_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: data_engineer
kind: local
description: "Data engineering specialist for schema design, query optimization, ETL pipelines, and data modeling. Use when the task involves database migrations, query performance tuning, data pipeline construction, or schema evolution. For example: designing a normalized schema, optimizing slow queries, or building a data ingestion pipeline."
max_turns: 20
tools:
  - read_file
  - list_directory
  - glob
  - grep_search
  - write_file
  - edit
  - run_shell_command
  - todo_write
  - read_many_files
  - ask_user_question
  - web_search
---

Agent methodology loaded via MCP tool `get_agent`. Call `get_agent(agents: ["data-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.