eakmanrqeakmanrqCommunityยท1 Agent Skills Included

sqlframe

Run PySpark DataFrame code directly on any SQL database

Runs PySpark DataFrame code directly on BigQuery, Snowflake, DuckDB, Postgres, Databricks, and Redshift without Spark clusters. Translates DataFrame operations into optimized SQL automatically, removing Spark setup overhead and slow local testing. Includes a maintenance skill that guides AI agents through sqlglot version upgrades and cross-engine compatibility fixes.
npx skills add eakmanrq/sqlframe --all -g -y
Available:

Gives the AI agent the project architecture, test commands, and engine-specific patterns needed to safely modify and verify SQLFrame code.

All Skills in This Repository (1)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install SQLFrame?โ–ผ

Run `npx skills add eakmanrq/sqlframe --all -g -y` in your terminal to install all skills in this suite globally.

Can I run PySpark code without a Spark cluster?โ–ผ

Yes. SQLFrame translates PySpark DataFrame operations into SQL that runs directly on engines like BigQuery, Snowflake, DuckDB, and Postgres.

How do I convert existing PySpark pipelines to SQLFrame?โ–ผ

Call sqlframe.activate with your engine name, and your existing pyspark imports automatically resolve to SQLFrame classes with no code rewrites.

Can SQLFrame show the SQL behind my DataFrame code?โ–ผ

Yes. Call df.sql() on any DataFrame to get the generated SQL, with an optimize option for cleaner human-readable output.

Does SQLFrame work with AI coding agents?โ–ผ

Yes. The included skill guides agents through sqlglot upgrades and engine compatibility fixes, and the CLAUDE.md provides full project context.

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