rest-api-pipeline
claudeBuild dlt pipelines for REST APIs: find a source, scaffold the pipeline, add endpoints and incremental loading, debug it, validate the data and view it in a report. Requires dlt[hub].
8 skills · 1 MCP server
65
claude
data-quality
Add column-level checks and load metrics to dlt pipelines, run them on every load and review failures with diagnosis. Requires dlt[hub].
65 on GitHubby ScaleVector GmbHv0.1.3https://github.com/dlt-hub/dlthub-ai-harness/blob/master/LICupdated yesterdaydata
/
Plugin data-quality from marketplace dlthub-ai-harness in dlt-hub/dlthub-ai-harness. Commands read from the repo's manifest — yesterday.
What it installs
Skills (4)
define-data-quality-checksUse when the user asks to "define checks", "add validation rules", "what checks should I add", "translate requirements into checks", or wants to map schema hints or business rules to dlthub data quality check and metric calls for a specific pipeline or table. Do NOT use to run checks (use run-data-q
review-data-qualityUse when the user asks to "review data quality results", "what failed", "show me data quality results", "analyze check results", "investigate data quality failures", or wants to understand check and metric outcomes from a pipeline run. Do NOT use to run new checks (use run-data-quality).
run-data-qualityUse when the user asks to "run data quality checks", "execute checks", "run my data quality checks", "check the data now", "run validations", or wants to execute already-defined checks against a loaded pipeline. Do NOT use to define new checks (use define-data-quality-checks) or to review existing r
setup-data-qualityUse when the user asks to "set up data quality", "enable data quality checks", "add data quality to my pipeline", "validate my pipeline data", "I want to check data quality", "check my tables for issues", or wants to start any data quality workflow on a dlt pipeline. Do NOT use for exploring or char
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