dltHub AI harness
Your interface to dltHub from local development. The harness equips Claude Code, Codex, or Cursor with 10 toolkits of skills, rules, and MCP tools covering the whole lifecycle: ingest, transform, explore, and operate. Your agent follows workflows dltHub maintains instead of improvising, on infrastructure dltHub runs.
Your coding agent
Claude Code, Codex, or Cursor
4 specialized subagents
Ingestion
REST, SQL, and file sources
Modeling
transformations and the CDM
Analytics
notebooks and dashboards
Operations
deploy, run, fix, and maintain
the agentic layerdltHub AI harness
Skills, commands, rules, and MCP: the agentic primitives to build, run, and fix pipelines
you are here
dltHub context catalog
Lineage, schema, data quality, governance, run state, and API context assets
Sources
REST APIs
SQL databases
Files on S3, GCS, Azure
dltHub
the managed infra layer
Ingestion & transformation
Scheduling & runs
Data quality & lineage
Warehouse
Snowflake
Databricks
BigQuery
DuckDB
Serving
Notebooks & dashboards
Data apps
Agents & MCP clients
For builders
Paste this prompt into Claude, Codex, or Cursor. The agent does the rest.
Run uvx dlthub-start@latest to build my first pipeline and run it on dltHub
Your interface to dltHub from local development. The harness equips your coding agent (Claude, Codex, Cursor) with the skills, platform tools, and run context to operate ingestion and transformation pipelines in production as a team: run, fix, maintain, and then build new ones to your conventions. Your data team and their agents own Day 2, no DevOps or platform engineering required.
What your agent reaches for, step by step, from first prompt through the pipelines it keeps running.
The guided entry point. Names a use case, checks the workspace, and hands off to the right toolkit in a few prompts.
Opus 5.0 · Quick Start · ~/pipelines
Take me through the full workflow with the GitHub API
The guided entry point. Names a use case, checks the workspace, and hands off to the right toolkit in a few prompts.
Opus 5.0 · Quick Start · ~/pipelines
Take me through the full workflow with the GitHub API
