Skill Claude CodeCodex
Query, explore, or view data loaded by a dlt pipeline. Use when the user asks to query data, explore loaded tables, check row counts, write Python that reads pipeline data, or asks questions like "show me the data", "what users are there", "how much did we spend". Covers dlt dataset API, ibis expressions, and…
Plugin Claude Code
Build SQL database pipelines with dlt: connect to any SQL source, load tables to a destination, tune performance with backends.
Skill Claude CodeCodex
Add a new table or view to an existing dlt SQL database pipeline. Use when the user wants to load additional tables from the same database that already has a working pipeline.
Skill Claude CodeCodex
Adjust a working dlt SQL database pipeline for production — remove dev limits, add incremental loading, configure merge keys. Use when the user wants to remove .addlimit(), load the full table, or set up incremental loading on a cursor column. For speed/memory tuning (backend, chunk size, parallelism) use…
Skill Claude CodeCodex
Create a dlt pipeline from a SQL database source (postgres, mysql, mssql, oracle, sqlite, or any SQLAlchemy-supported database). Use when the user wants to load tables from a relational database to a destination like DuckDB, BigQuery, or Snowflake. Not for REST APIs or file sources.
Skill Claude CodeCodex
Speed up a dlt SQL database pipeline. Use when extraction from a relational database (postgres, mysql, mssql, oracle, snowflake, etc.) is slow or memory-heavy and the user wants to optimize it — pick a faster backend, tune chunk size, parallelize tables, or reduce reflection overhead. For first-time incremental/merge…
Plugin Claude Code
Transform raw dlt pipeline data into a Canonical Data Model. Build an ontology, design a CDM with Kimball dimensional modeling, write @dlt.hub.transformation functions, and validate the output.
Skill Claude CodeCodex
Annotate dlt pipeline sources for transformation. Use when the user wants to transform data, do data modelling, design a data model, describes their data sources and use cases, or wants to build a CDM from existing pipelines.
Skill Claude CodeCodex
Build a business entity graph (ontology) from annotated sources and taxonomy. Use after annotate-sources to design the entity model before CDM generation.
Skill Claude CodeCodex
Write dlthub transformation functions that map source tables to CDM entities. Use after generate-cdm to produce the transformation Python script.
Skill Claude CodeCodex
Debug dlthub transformation failures. Use when a transformation fails on a different destination than it was developed on, SQL dialect errors occur after deployment, pipeline recovery is needed after a failed run, or columns are silently dropped from output.
Skill Claude CodeCodex
Generate a Canonical Data Model (CDM) in DBML using Kimball dimensional modeling. Use after create-ontology to produce the implementation-ready CDM schema.