Deploy dlt pipelines to dltHub Platform. Use when the user says "deploy to dltHub", "launch on dltHub", "run on dltHub", "schedule pipeline", or wants to deploy a pipeline or notebook to dltHub.
The entry point for building anything with dlthub. Use this skill to route the user to the right workflow toolkit and install it on demand. MUST use when the user asks 'what can you do', 'what can I build', 'what are toolkits', 'how do I build a pipeline', 'I…
Debug a failed or misbehaving dltHub Platform deployment. Use when a runtime job fails, produces unexpected results, or the user wants to check job status and logs.
Make a dlt pipeline faster or lighter on memory. Use when the user says a pipeline is slow, takes too long, runs out of memory, uses too much RAM, or wants to optimize, speed up, parallelize, or increase throughput. Covers source-agnostic levers (parallelism,…
Debug and inspect a dlt pipeline after running it. Use after a pipeline run (success or failure) to inspect traces, load packages, schema, data, and diagnose errors like missing credentials or failed load jobs.
Debug and inspect a dlt SQL database pipeline after running it. Use after a pipeline run (success or failure) to inspect traces, load packages, schema, and diagnose errors like connection failures, missing credentials, driver issues, or failed load jobs.
Debug dlthub transformation failures. Use when a transformation fails on a different destination than it was developed on, SQL dialect errors occur after deployment, pipeline recovery is needed after a failed run, or columns are silently dropped from output.
Rename a skill, command, rule, or agent within a toolkit and update all references. Use when the user wants to rename a plugin component.