materialize-databricks-create skillA
materialize-databricks-create is agent-read markdown (skill) from estuary/agent-skills: Create a Databricks materialization to stream Estuary collections into Databricks tables via Unity Catalog. Use when setting up Databricks as a destination for captured data. Use when user says "send to Databricks", "materialize to Databricks", "Databricks destination", or "load into Databricks"..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Create Databricks Materialization Create a Databricks materialization using flowctl to stream data from Estuary collections into Databricks Unity Catalog tables. **Applies to**: materialize-databricks ## Step 0: Load Connector Documentation Before proceeding, fetch the official connector docs for prerequisites, config reference, and setup instructions. **Load the docs page:** https://docs.estuary.dev/reference/Connectors/materialization-connectors/databricks/ Use WebFetch to load this page. It covers: - Prerequisites (Unity Catalog, SQL Warehouse, credentials) - Full config property reference - Authentication setup (PAT or OAuth2 M2M) - Staging via Unity Catalog Volumes **Search Kapa for tribal knowledge** (if the Estuary MCP is configured): ``` Search kapa ai knowledge sources for "materialize databricks common issues" ``` If Kapa MCP is not configured, the user can set it up: https://docs.estuary.dev/features/mcp-integration/ This skill provides the **flowctl workflow** and **troubleshooting** that docs don't cover. ## Step 1: Gather Requirements Before writing any YAML, ask the user: …
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How to install
mdr add estuary/agent-skills/materialize-databricks-create@git:20260505.8873932mdr add estuary/agent-skills/materialize-databricks-create@sha256:57da7cce494a9d7ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ax7bpwwo5o7kmfzf)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8118 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
estuary/agent-skills · 7 stars · license Apache-2.0 · pushed 2026-09-17 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ax7bpwwo5o7kmfzf GET https://markdownregistry.com/api/v1/resolve?ref=estuary/agent-skills/materialize-databricks-create GET https://markdownregistry.com/api/v1/blob/57da7cce494a9d7e702e92ba777bcc07bc8e9cba93c1580e4a22a6d242500a9f
Your agent 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.