data-engineering
✓Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling"
Installation
SKILL.md
| Ingestion | Fivetran, Airbyte, Stitch | | Storage | S3, GCS, Snowflake, BigQuery | | Transform | dbt, Spark, Airflow | | Orchestration | Airflow, Dagster, Prefect | | Serving | Looker, Tableau, Metabase |
| Completeness | % non-null values | | Uniqueness | % distinct values | | Timeliness | Data freshness | | Accuracy | Matches source | | Consistency | Across systems |
| Partitioning | Reduce scanned data | | Clustering | Improve filter speed | | Materialization | Pre-compute joins | | Caching | Reduce repeat queries |
Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling" Source: eyadsibai/ltk.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/eyadsibai/ltk --skill data-engineering- Source
- eyadsibai/ltk
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-17
- Updated
- 2026-02-18
Quick answers
What is data-engineering?
Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling" Source: eyadsibai/ltk.
How do I install data-engineering?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/eyadsibai/ltk --skill data-engineering Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/eyadsibai/ltk
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-17