Altimateai Data Engineering Skills
altimateai-data-engineering-skills is a Claude Code plugin for the Build phase that bundles dbt and Snowflake data-engineering skills for optimization, refactoring, debugging, and testing.
by AltimateAI · github.com/AltimateAI/data-engineering-skills
Load Altimate data-engineering skills into Claude Code for dbt and Snowflake query work—optimization, refactoring, debugging, and testing—while you build and maintain analytics pipelines.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install altimateai-data-engineering-skills@AltimateAI/data-engineering-skillsBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:AltimateAI/data-engineering-skills") and the paste-ready config with skillselion.get_install_config("plugin:AltimateAI/data-engineering-skills").
What it does
altimateai-data-engineering-skills packages AltimateAI’s data engineering skills for Claude Code builders who live in dbt and Snowflake rather than in app routers. Indie SaaS founders often add a warehouse late; without structured skills the agent writes flashy SQL that fails cost, lineage, and test expectations. This repository advertises pluginCount 2 and skills spanning development, query optimization, refactoring, debugging, and testing—aligned with modern analytics engineering practice. Use it when you are creating or changing dbt models, chasing slow Snowflake queries, or fixing broken tests in CI. It is multi-phase because the same expertise matters while you build the pipeline, when you ship with data quality gates, and when you iterate on production performance. Intermediate to advanced complexity assumes familiarity with warehouses, dbt layers, and test semantics. The bundle is a skills plugin for data backends, not a generic CRUD ORM helper. Install when your product decisions depend on trustworthy metrics pipelines; skip if you have no warehouse or dbt in scope.
Highlights
- Two-plugin bundle focused on data engineering workflows for Claude Code
- dbt-oriented development, refactoring, and testing skills
- Snowflake query optimization and debugging assistance
- Skills for systematic query review and pipeline hardening
- Keyword coverage: dbt, Snowflake, optimization, testing, and refactoring in one marketplace entry
Why builders use it
Warehouse and dbt work in an coding agent devolves into untested SQL and expensive Snowflake queries without data-engineering discipline.
After you add the plugin, Claude applies structured dbt development, query optimization, and testing skills across build and pipeline maintenance tasks.
At a glance
- Type - Plugin in Databases.
- Adoption - 0 installs, 79 stars, 0 votes.
FAQ
Who is altimateai-data-engineering-skills for?
Builders and analytics engineers using Claude Code on dbt and Snowflake pipelines who need optimization, refactoring, debugging, and testing guidance.
When should I use altimateai-data-engineering-skills?
Use it when authoring or changing dbt models, tuning Snowflake queries, fixing test failures, or refactoring marts during build and when iterating production data jobs.
How do I add altimateai-data-engineering-skills to my agent?
Install the AltimateAI/data-engineering-skills plugin bundle in Claude Code (two plugins per marketplace metadata), connect your dbt project and Snowflake credentials in your dev environment, then invoke the bundled data-engineering skills on model and query tasks.
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