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.
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 dlt-hub/dlthub-ai-harness에서 46개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
dlt-hub/dlthub-ai-harness수집된 skill 46개 중 6개를 표시합니다.
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.
원문 언어: 영어
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…
원문 언어: 영어
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.
원문 언어: 영어
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…
원문 언어: 영어
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.
원문 언어: 영어
Rename a skill, command, or rule within a toolkit and update all references. Use when the user wants to rename a plugin component.
원문 언어: 영어