dlt-hub

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.

Review and rewrite the prose a branch adds — docstrings, comments, user-facing messages, docs — against dlt's fixed vocabulary and Simplified Technical English. Invoke as /review-vocabulary.

Use when reading, editing, or creating files in dlt/_workspace/helpers/dashboard/ or tests/workspace/helpers/dashboard/ or tests/e2e/

Create or reuse a git worktree for a pull request or branch so reviews and work happen in isolation

Triage, plan, and implement a fix or feature for a GitHub issue end-to-end

Create a git worktree with a new branch for implementing a fix or feature for a GitHub issue

Stage changes and write a clean Conventional-Commit message that follows the repo's git rules

Find and configure a REST API source

Find and prioritize open GitHub issues by severity, community impact, and maintainer abandonment

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…

ALWAYS read and follow this skill before acting. setup

ALWAYS read and follow this skill before acting. One-shot workflow

Project-wide rules for the dlthub-start repo. ALWAYS read before modifying any file in this codebase.

How to write comments and docstrings in the dlthub-start CLI (src/create_dlthub_workspace/**). Use when adding/editing a comment or docstring, or reviewing a diff for comment quality.

Use when working with Lightdash YAML files, dbt models with Lightdash metadata, the lightdash CLI (deploy, upload, download, preview, lint, warehouse-catalog, sql, set-warehouse, apps create/preview/validate), or managing charts, dashboards, spaces and…

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…

Adjust a working dlt pipeline for production — remove dev limits, verify pagination (including stuck or looping paginators), configure incremental loading, expand date ranges, and handle rate-limit/429 errors with retries, backoff, and request timeouts. Use…

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.

Onboard a hackathon participant to the dltHub background agents workspace. MUST use when the user asks 'how do I get started', 'set me up', 'what is this repo', 'what am I supposed to do', 'what are the steps', 'how do I deploy this', or opens this workspace…

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.

Audit a verified source against the current state of its upstream API/SDK, find breakages and outdated patterns, and propose (or implement) a fix plan with credential-free unit tests. Use when users report a source is outdated or broken, or for periodic…

Guide for contributing to the verified-sources repository

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,…

Adjust a working dlt SQL database pipeline for production — remove dev limits, add incremental loading, configure merge keys. Use when the user wants to remove .add_limit(), load the full table, or set up incremental loading on a cursor column. For…