dlt-hub/dlthub-ai-harness - Page 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.

Langue du texte source : anglais

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…

Langue du texte source : anglais

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.

Langue du texte source : anglais

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…

Langue du texte source : anglais

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.

Langue du texte source : anglais

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.

Langue du texte source : anglais