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AltimateAI/data-engineering-skills

AltimateAI/data-engineering-skills · 4 plugins

Marketplace Skills related to Data Engineering Work for Claude Code

Install

In Claude Code
/plugin marketplace add AltimateAI/data-engineering-skills

Run inside Claude Code, then install plugins from it. Check the repo's README before you run it.

Open the repo

Plugins 4

After adding the marketplace, install one with /plugin install <name>@data-engineering-skills.

  1. 1dbt-skillsSkills for dbt development, testing, debugging, and refactoring/plugin install dbt-skills@data-engineering-skills
  2. 2snowflake-skillsSkills for Snowflake query optimization/plugin install snowflake-skills@data-engineering-skills
  3. 3databricks-skillsSkills for Databricks SQL query optimization/plugin install databricks-skills@data-engineering-skills
  4. 4altimate-codeDelegate data engineering tasks to altimate-code — a specialized CLI agent with 100+ data tools (warehouse profiling, column lineage, dbt build/test, FinOps)/plugin install altimate-code@data-engineering-skills

Files

README.md

Data Engineering Skills

Claude Code skills for Analytics & Data engineers working with dbt and Snowflake


Altimate Data Skills is a collection of Claude Code skills that encode the workflows and best practices of experienced analytics engineers. These skills transform Claude from a code generator into a capable data engineering assistant.

Key Results

  • 53% accuracy on ADE-bench (43 real-world dbt tasks)
  • 3x improvement on model creation tasks vs baseline
  • 84% pass rate on Snowflake query optimization (62 TPC-H queries, 1TB dataset)
  • 3.6x better performance gains vs baseline (16.8% avg improvement vs 4.7%)
  • Skills that teach Claude how to work, not just what to write

Quick Start

/plugin marketplace add AltimateAI/data-engineering-skills

Install individual skill packs:

# Install dbt skills
/plugin install dbt-skills@data-engineering-skills

# Install Snowflake skills
/plugin install snowflake-skills@data-engineering-skills

# Install altimate-code delegation skill
/plugin install altimate-code@data-engineering-skills

Available Skills

dbt Skills

Skill Purpose Key Behaviors
creating-dbt-models Model creation Convention discovery → Write → Build → Verify output
debugging-dbt-errors Error troubleshooting Read full error → Check upstream → Apply fix → Rebuild
testing-dbt-models Schema tests Study existing test patterns → Match project style
documenting-dbt-models Documentation Analyze model → Generate descriptions
migrating-sql-to-dbt Legacy SQL conversion Parse SQL → Create proper dbt model
refactoring-dbt-models Safe restructuring Track dependencies → Apply changes → Verify downstream
developing-incremental-models Incremental models Strategy selection → unique_key design → Handle edge cases

Snowflake Skills

Skill Purpose Key Behaviors
finding-expensive-queries Cost analysis Find and rank queries by cost/time/data scanned
optimizing-query-by-id Performance tuning Optimize using query ID from history
optimizing-query-text Performance tuning Profile query → Identify bottlenecks → Apply patterns

altimate-code Delegation

Skill Purpose Key Behaviors
altimate-code Hand off data tasks to altimate-code Verify install → Invoke altimate-code run --yolo non-interactively → Read output file → Summarize for user

Use this skill when a task needs altimate-code's wired-up warehouse tools, column lineage, multi-step data exploration, or its 100+ specialized data tools.

Requires altimate-code: npm install -g altimate-code (Node 20+). Docs: docs.altimate.sh · Source: AltimateAI/altimate-code. The skill will detect a missing install and surface the exact command to the user.

How Skills Work

Skills are markdown files that teach Claude how to approach tasks, not just what syntax to use. Each skill has two parts:

1. Trigger Conditions

When should this skill activate?

---
name: creating-dbt-models
description: |
  Guide for creating dbt models. ALWAYS use this skill when:
  (1) Creating ANY new model (staging, intermediate, mart)
  (2) Task mentions "create", "build", "add" with model/table
  (3) Modifying model logic or columns
---

2. Workflow Instructions

What steps should Claude follow?

# dbt Model Development

**Read before you write. Build after you write. Verify your output.**

## Critical Rules
1. ALWAYS run `dbt build` after creating models - compile is NOT enough
2. ALWAYS verify output after build using `dbt show`
3. If build fails 3+ times, stop and reassess your approach
...

Usage Examples

Skills activate automatically based on your request:

Your Request Skill Activated
"Create a new orders model" creating-dbt-models
"Fix this compilation error" debugging-dbt-errors
"Add tests to the customers model" testing-dbt-models
"Document the revenue metrics" documenting-dbt-models
"Create an incremental model for events" developing-incremental-models
"This query is slow, optimize it" optimizing-query-text

Combining with Altimate MCP Tools

Skills become even more powerful when combined with Altimate's MCP server. The MCP server provides real-time access to your dbt project and data warehouse:

MCP Tool What It Provides
dbt_project_info Project structure, model list, sources
dbt_model_details Column types, dependencies, compiled SQL
dbt_compile Compile models without CLI
snowflake_query_history Recent query executions and stats
snowflake_table_stats Row counts, clustering info

Kits

Kits bundle skills, MCP servers, and instructions into a single activatable unit. Instead of installing skills one by one, activate a kit to get a complete development setup.

Available Kits

Kit Description Skills MCP
dbt-snowflake Complete dbt + Snowflake setup 9 skills dbt MCP server

Quick Start

# Install the kit
altimate-code kit install AltimateAI/data-engineering-skills

# Activate for your project
altimate-code kit activate dbt-snowflake

# Check what's active
altimate-code kit status

See kits/README.md for the full kit format reference and how to create your own.

Benchmark Results

Evaluated using ADE-bench, a framework for evaluating AI agents on analytics engineering tasks. All tests were run using Claude Sonnet 4.5.

Overall Results

Configuration Accuracy Tasks Resolved
Baseline Claude (no skills) 46.5% 20/43
Claude + Skills 53.5% 23/43

Results by Task Category

Category Baseline With Skills Improvement
Model Creation 40% 65% +25 pts
Bug Fixing 60% 70% +10 pts
Debugging 35% 50% +15 pts
Refactoring 30% 35% +5 pts
Analysis 25% 30% +5 pts

Snowflake Query Optimization (TPC-H SF1000)

Benchmark on TPC-H 1TB dataset (62 queries) testing optimizing-query-text skill. All tests were run using Claude Sonnet 4.5.

Configuration Pass Rate Avg Performance Improvement
Baseline Claude (no skills) 77.4% (48/62) 4.7%
Claude + Skills 83.9% (52/62) 16.8% (3.6x better)

Skills provide structured optimization with query profiling, anti-pattern detection, and semantic preservation validation.

Note: This benchmark uses our internal evaluation framework. We plan to open-source it soon with additional evals.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines.

Ideas for contributions:

  • New skills for workflows we haven't covered
  • Improvements to existing skills based on your team's patterns
  • Benchmark results on different datasets
  • Bug reports and feature requests

Roadmap

We're actively developing:

  • Airflow skills — DAG development, debugging, testing
  • Cross-platform migration — dbt to/from SQL Server, Oracle
  • Snowflake cost optimization — Warehouse sizing, query patterns
  • Data quality workflows — Anomaly detection, freshness checks

Resources

License

This project is licensed under the MIT License - see the LICENSE file for details.


Built by the team at Altimate AI — Making data engineering delightful.

Facts

Kind
Marketplace
Repo
AltimateAI/data-engineering-skills
Group
Uncategorized
Marketplace name
data-engineering-skills
Owner
Altimate AI
License
MIT
Created
2026-01-21
Forks
11
Homepage
www.altimate.ai
Topics
claude, claude-code, claude-skills, data-engineering, dbt
Plugins
2

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