databricks SKILL.md skillA

databricks from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add jnpiyush/agentx/databricks@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
jnpiyush/agentx
Path
.github/skills/data/databricks/SKILL.md
Versions recorded
3
Latest version
v1.0.0, committed Sep 15, 2026
First version recorded
Feb 28, 2026
Size
15,045 bytes
Repository stars
19
License
Apache-2.0

Build data engineering, analytics, and ML/AI solutions on the Databricks Lakehouse Platform. Use when creating Delta Lake tables, writing PySpark notebooks, building DLT pipelines, managing Unity Catalog, orchestrating Databricks Workflows, tracking experiments with MLflow, or deploying using Databricks Asset Bundles.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Databricks

> Unified Lakehouse platform combining Apache Spark, Delta Lake, MLflow, and Unity Catalog for data engineering, analytics, and AI/ML at scale.

## When to Use

- Building Delta Lakehouses with medallion architecture (Bronze -> Silver -> Gold)
- Ingesting streaming or batch data with Auto Loader or Structured Streaming
- Creating DLT (Delta Live Tables) pipelines with built-in data quality
- Running ML experiments tracked in MLflow and serving models via Model Serving
- Governing data assets across clouds with Unity Catalog
- Deploying reproducible jobs and pipelines with Databricks Asset Bundles
- Running SQL analytics on Delta tables via Databricks SQL Warehouses
- Building AI/ML features with Vector Search and Feature Engineering

## Decision Tree

```
Working with Databricks?
+-- Need storage layer?
|   +-- Semi-structured / schema-on-read / ML data -> Delta Lakehouse
|   +-- Need ACID + time travel                    -> Delta Lake tables
|   +-- Need governance across workspace           -> Unity Catalog
+-- Need ingestion?
|   +-- Cloud files (S3/ADLS/GCS) incremental      -> Auto Loader
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add jnpiyush/agentx/databricks@sha256:f813fd17159bed53

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_lvqxfa7o54rllaz5.svg)](https://markdownregistry.com/a/art_lvqxfa7o54rllaz5)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Feb 28, 2026 and Sep 15, 2026, about one every 99 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-09-15 f17c505 15,045 BA view · diff
v1.0.02026-03-01 969f335 15,043 BA view · diff
v1.0.02026-02-28 75e5d34 21,944 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15045 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_lvqxfa7o54rllaz5
GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/databricks
GET https://markdownregistry.com/api/v1/blob/f813fd17159bed53fe6391af4b591cef72b6832ff725b931b33696491e0fcfe2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in jnpiyush/agentx

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