Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: databricks

Englisches Verzeichnis

A reusable skill kit for AI agents to generate structurally precise and aesthetically standardized draw.io diagrams across major cloud platforms and BPMN, with declarative layout, stencils, and validation.

620
Stars
84/100
Trust
Kategorie: design-creativeAudit

Databricks Toolkit for Coding Agents provided by Field Engineering

1.7K
Stars
74/100
Trust
Kategorie: coding-agentsAudit

The "Command Line Interactive Controller for Kubernetes"

1.5K
Stars
73/100
Trust
Kategorie: devopsAudit

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

11K
Stars
74/100
Trust
Kategorie: support-automationAudit

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

686
Stars
72/100
Trust
Kategorie: ml-automationAudit

A SQL transformation engine that type-checks your whole pipeline and catches breaking changes before they run — branches, replay, column-level lineage, compile-time contracts, per-model cost. Adapters: Databricks, Snowflake, BigQuery, DuckDB. Single static Rust binary. Apache 2.0.

267
Stars
69/100
Trust
Kategorie: data-analysisAudit

A set of UDFs and Procedures to extend BigQuery, Snowflake, Redshift, Postgres and Databricks with Spatial Analytics capabilities

210
Stars
65/100
Trust
Kategorie: geo-scienceAudit
Dbx61

🧱 Databricks CLI eXtensions - aka dbx is a CLI tool for development and advanced Databricks workflows management.

462
Stars
61/100
Trust
Kategorie: ml-automationAudit

End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.

344
Stars
66/100
Trust
Kategorie: data-analysisAudit

This repo is a comprehensive blueprint of how to use dbt to run data pipelines using databricks compute. It showcases modular project structure, data contracts, various tests and incremental models with selectors. No real financial data is used, only dummy data.

74
Stars
60/100
Trust
Kategorie: financeAudit