Skills setup
Prerequisites
- Bauplan CLI installed with a configured API key
- An AI assistant that supports MCP (Claude Code, Cursor, Claude Desktop)
Install Bauplan skills
Bauplan skills are distributed as a Claude Code plugin that installs with a single command and stays up to date automatically. For installation instructions, see the Bauplan Skills README.
Once installed, the following skills are available as slash commands:
| Skill | Description |
|---|---|
| Data Pipeline | Create a new pipeline project from scratch with proper setup, model definitions, source validation, and execution on a development branch. |
| Safe Ingestion | Ingest data from S3 using the Write-Audit-Publish (WAP) pattern: data is loaded on an isolated branch, validated, and merged only after quality checks pass. |
| Explore Data | Structured, read-only investigation of lakehouse data through schema inspection, sampling, profiling, and join discovery. Produces a summary.md report. |
| Data Assessment | Evaluate whether a business question can be answered using lakehouse data. Maps concepts to tables, profiles quality, and delivers a feasibility verdict. |
| Data Quality Checks | Generate quality check code as pipeline expectations (@bauplan.expectation()) and ingestion validation functions covering completeness, uniqueness, validity, freshness, consistency, and volume. |
| Debug and Fix Pipeline | Structured diagnostics for failed jobs: pins the failure, collects evidence, identifies root cause, and applies a minimal fix with checkpoint reports. |
Skills can be used together with the MCP server or with repository-based usage (CLI/SDK only).
Source: https://github.com/BauplanLabs/bauplan-skills
Next steps
- Learn more about the MCP Server for direct lakehouse access via tool calls