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
filesystem-pipeline
Load CSV, Parquet, JSONL or custom files from local disk, S3, GCS, Azure or SFTP into a destination with dlt. Requires dlt[hub].
65 on GitHubby ScaleVector GmbHv0.1.2https://github.com/dlt-hub/dlthub-ai-harness/blob/master/LICupdated yesterdaydata
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Plugin filesystem-pipeline from marketplace dlthub-ai-harness in dlt-hub/dlthub-ai-harness. Commands read from the repo's manifest — yesterday.
What it installs
Skills (3)
add-incremental-loadingAdd incremental loading to a dlt filesystem pipeline — filter files by modification date, optionally filter records by a timestamp column, and switch to merge with a primary key to deduplicate updated records, so each run only reads new or modified files. Use after create-filesystem-pipeline produce
create-filesystem-pipelineCreate a dlt filesystem pipeline that reads files (CSV, Parquet, JSONL, or custom) from local disk, S3, GCS, Azure, or SFTP into a destination. Use for the filesystem core source. Not for REST APIs (rest_api) or databases (sql_database).
optimize-filesystem-performanceSpeed up a dlt filesystem pipeline. Use when reading files (CSV, Parquet, JSONL) from local disk, S3, GCS, Azure, or SFTP is slow or memory-heavy and the user wants to optimize it — choose a faster reader, read files in parallel, narrow the glob, or stream in chunks. For first-time incremental/merge
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