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ai-data-engineer

by sweta2503

What ai-data-engineer does, in the publisher's words

> 🎥 Full tutorial: https://www.youtube.com/@agenticdatalab

A portable AI agent plugin built to the Agent Plugins 1.0 spec: one set of skills and MCP servers that runs across Cursor, Codex, VS Code, and Claude Code.

The demo scenario: A production customer_orders_daily pipeline failed at 2:16 AM. A developer changed customer_id from int to "CUST-{id}" format. The warehouse target column expects BIGINT. PostgreSQL raises invalid input syntax for type bigint: "CUST-1009". The plugin investigates this incident, identifies the root cause, and tells you whether it is safe to rerun.

From the project README, punctuation lightly normalized · Open the README on GitHub

Skills
5
MCP servers
4
Stars
0
License
n/a
Repo created
2026-08-08
Last pushed
2026-08-11
Publisher type
User
Version
n/a

Links

Skills · 5

  • analyze-sql
  • debug-pipeline
  • generate-rca
  • investigate-data
  • validate-rerun

MCP servers · 4

githubstdio
npx -y @modelcontextprotocol/server-github
env vars: GITHUB_PERSONAL_ACCESS_TOKEN
job-telemetrystdio
python3 mcp-servers/job-telemetry/server.py
env vars: JOB_DB_PATH
observabilitystdio
python3 mcp-servers/observability/server.py
env vars: LOG_DIR
sql-metadatastdio
python3 mcp-servers/sql-metadata/server.py
env vars: DB_HOST · DB_PORT · DB_NAME · DB_USER · DB_PASSWORD

Read from the plugin's own mcp.json. We list environment variable names, never values.

Category

Databases & Data. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.

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