dlt-hub/dlthub-ai-harness - Seite 2

incremental-transformation

Switch a dlthub transformation from full-replace to incremental loading. Use when the user wants to process only new or changed rows, reduce transformation run time, or schedule frequent transformation runs without reprocessing all data.

Quellsprache: Englisch

validate-toolkits

Validate toolkit components and project docs — check external doc URLs, cross-references between skills/commands/rules, and verify README.md and CLAUDE.md are in sync with actual toolkit state. Use when the user asks to validate, review, or check toolkit…

Quellsprache: Englisch

add-table

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.

Quellsprache: Englisch

improve-skills

Improve existing skills based on the current session. Use at the end of a session (or when the user asks) to capture new debugging patterns, data issues, data validation tracks, querying techniques, doc references, or workflow improvements learned during the…

Quellsprache: Englisch

annotate-sources

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.

Quellsprache: Englisch

rename-component

Rename a skill, command, or rule within a toolkit and update all references. Use when the user wants to rename a plugin component.

Quellsprache: Englisch