Altimate Code capabilities

Skills and tools for the AI data engineer

Altimate Code gives your AI agent purpose-built tools for SQL, dbt, lineage, testing, and warehouse work. Skills are the workflows it can run. Tools are what powers them.

What Altimate can do for your data engineering work.

19 skills

Setup

Altimate Setup

Set up the AI data engineer before the work starts.

Connect Altimate to your warehouse and dbt project so the agent has context from day one.

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SQL Quality

SQL Review

AI code review, but for SQL.

Catch SQL anti-patterns, readability issues, performance risks, and safety problems before SQL ships.

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SQL Quality

Query Optimize

Make slow or expensive SQL easier to fix.

Find what's making a query slow or expensive and get specific, explainable suggestions.

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dbt

dbt Troubleshoot

Debug broken dbt builds with project context.

Diagnose dbt compilation failures, runtime errors, failing tests, wrong results, and performance issues.

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Testing

dbt Unit Tests

Generate dbt unit test scaffolds without starting from blank YAML.

Analyze dbt model logic and generate unit test scenarios with mock inputs and expected outputs.

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Lineage

Lineage Diff

Show how data flow changed, not just how SQL text changed.

Compare column-level lineage between two versions of a SQL query or model.

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Validation

Data Parity

Prove two datasets match after a migration, refactor, or rewrite.

Validate that two tables or query results are identical or diagnose exactly how they differ.

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FinOps

Cost Report

Find where warehouse spend is leaking.

Analyze Snowflake query costs and identify optimization opportunities across queries, users, and warehouses.

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Governance

PII Audit

Find sensitive data before it spreads.

Classify schema columns for PII and check whether queries or dbt models expose sensitive fields.

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dbt

dbt Analyze

Understand downstream impact before changing a model.

Analyze the blast radius of dbt model changes using dependency information and column-level lineage.

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Migrations

Schema Migration

Catch breaking schema changes before production.

Analyze DDL and schema changes for data loss, compatibility, and downstream risk.

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Testing

dbt Test

Add the right data quality tests to dbt models.

Add schema tests, unit tests, and data quality checks that match model risk.

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dbt

dbt Develop

Build dbt models that fit the project.

Build and edit dbt models that fit your project: right layers, naming, refs, YAML, and validation.

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dbt

dbt Docs

Turn empty dbt docs into useful business context.

Document dbt models and columns with descriptions that explain meaning, not just names.

dbt_manifestdbt_lineage

SQL Quality

SQL Translate

Translate SQL across warehouse dialects.

Convert SQL between Snowflake, BigQuery, Postgres, MySQL, Databricks, Redshift, DuckDB, and other dialects.

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Visualization

Data Viz

Turn query results into charts and dashboards.

Build charts, dashboards, and interactive views from query results.

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Team Learning

Teach

Teach the AI your team's patterns from one good example.

Show Altimate a strong example file and save the reusable pattern for future work.

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Team Learning

Train

Turn team standards into reusable AI behavior.

Load your style guides, review checklists, glossary docs, and standards so the AI can apply them consistently.

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Team Learning

Training Status

See what the AI teammate has learned.

Display saved patterns, rules, glossary terms, standards, and training metadata.

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