
Altimate Data Engineering Skills
Give your coding agent dbt and Snowflake workflows—model creation, tests, docs, debugging, and query cost tuning—without guessing analytics-engineering conventions.
Install
npx skills add https://github.com/aradotso/data-skills --skill altimate-data-engineering-skillsWhat is this skill?
- 7 dbt skills: create, debug, test, document, migrate, refactor, and incremental models
- 3 Snowflake skills: cost analysis, optimize by query ID, optimize by query text
- Delegation skill routes heavy work to altimate-code CLI when the task outgrows chat
- Intent-based triggers (e.g. compilation errors, expensive queries, add tests)
- Reported 3× improvement on model-creation tasks and 84% pass rate on Snowflake query optimization
Adoption & trust: 1 installs on skills.sh; 1 GitHub stars; 0/3 security scanners passed (skills.sh audits); trending (+100% hot-view momentum).
Recommended Skills
Journey fit
Data models and dbt projects are built in the Build phase; this pack’s canonical shelf is backend data work where pipelines and warehouses are authored. dbt models, SQL conversion, incremental logic, and Snowflake optimization map directly to backend analytics engineering, not frontend or launch tasks.
Common Questions / FAQ
Is Altimate Data Engineering Skills safe to install?
skills.sh reports 0 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.
SKILL.md
READMESKILL.md - Altimate Data Engineering Skills
# Altimate Data Engineering Skills > Skill by [ara.so](https://ara.so) — Data Skills collection. Altimate Data Engineering 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 by teaching **how to approach tasks**, not just what syntax to use. The project demonstrates 53% accuracy on ADE-bench (43 real-world dbt tasks), 3x improvement on model creation tasks, and 84% pass rate on Snowflake query optimization. ## What This Project Does Data Engineering Skills provides: - **7 dbt skills**: Model creation, debugging, testing, documentation, migration, refactoring, incremental models - **3 Snowflake skills**: Cost analysis, query optimization by ID, query optimization by text - **1 delegation skill**: Hand off complex tasks to altimate-code CLI tool - **Workflow automation**: Skills trigger automatically based on user intent - **Best practices**: Encoded patterns from experienced analytics engineers Skills are markdown files with YAML frontmatter that define trigger conditions and step-by-step workflows. ## Installation ### Installing Skills in Claude Code ```bash # Add the marketplace plugin /plugin marketplace add AltimateAI/data-engineering-skills # Install all skills /plugin install dbt-skills@data-engineering-skills /plugin install snowflake-skills@data-engineering-skills /plugin install altimate-code@data-engineering-skills ``` ### Installing Kits Kits bundle skills, MCP servers, and instructions: ```bash # Install altimate-code CLI (required for kits) npm install -g altimate-code # Install kit system altimate-code kit install AltimateAI/data-engineering-skills # Activate the dbt-snowflake kit altimate-code kit activate dbt-snowflake # Check status altimate-code kit status ``` ### Manual Installation Clone and reference skills directly: ```bash git clone https://github.com/AltimateAI/data-engineering-skills.git cd data-engineering-skills ``` ## Available Skills ### dbt Skills **creating-dbt-models**: Creates new dbt models following project conventions - Discovers existing patterns before writing - Runs `dbt build` after creation (not just compile) - Verifies output with `dbt show` - Handles staging, intermediate, and mart models **debugging-dbt-errors**: Troubleshoots dbt compilation and runtime errors - Reads full error messages carefully - Checks upstream dependencies - Applies fixes and rebuilds - Stops after 3 failed attempts to reassess **testing-dbt-models**: Adds schema tests to models - Studies existing test patterns in project - Matches project testing style - Covers uniqueness, not_null, relationships, accepted_values **documenting-dbt-models**: Generates dbt model documentation - Analyzes model logic and columns - Creates descriptions for models and fields - Follows project documentation patterns **migrating-sql-to-dbt**: Converts legacy SQL to dbt models - Parses raw SQL queries - Creates proper dbt model structure - Handles CTEs, refs, and sources **refactoring-dbt-models**: Safely restructures dbt models - Tracks all dependencies before changes - Applies refactoring - Verifies downstream models still work **developing-incremental-models**: Creates incremental dbt models - Selects appropriate strategy (append, merge, delete+insert) - Designs proper unique_key - Handles late-arriving data and edge cases ### Snowflake Skills **finding-expensive-queries**: Identifies costly Snowf