materialize-databricks-create

materialize-databricks-create is a skill for Claude Code, Codex from estuary/agent-skills. It costs 76 tokens per session (1,911 once invoked), scanned A, original, Apache-2.0.

A setup workflow for sending Estuary collections into tables in Databricks, a data platform for storing and analyzing large datasets. It uses Databricks Unity Catalog to organize and control access to those tables.

In plain words
What is it for?
Use it to create a Databricks destination, stream captured collections into Databricks tables, and configure workspace, authentication, and staging requirements.
Why use it?
It guides the configuration needed to connect Estuary to a Databricks workspace, including access credentials and required storage settings.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/estuary/agent-skills/materialize-databricks-create
Any agent
npx skills add estuary/agent-skills --skill materialize-databricks-create
Clone the repo
git clone --depth 1 https://github.com/estuary/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for materialize-databricks-create

README.md
[![agentmods](https://agentmods.dev/badge/skills/estuary/agent-skills/materialize-databricks-create.svg)](https://agentmods.dev/skills/estuary/agent-skills/materialize-databricks-create)
Your own site
<a href="https://agentmods.dev/skills/estuary/agent-skills/materialize-databricks-create"><img src="https://agentmods.dev/badge/skills/estuary/agent-skills/materialize-databricks-create.svg" alt="Measured on agentmods" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,911 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00076 $0.01911
Opus 5 $0.00038 $0.00955
Sonnet 5 $0.00015 $0.00382
Haiku 4.5 $0.00008 $0.00191

Measured 4d ago against content hash 57da7cce494a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

materialize-databricks-create scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/materialize-databricks-create/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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:

  1. Workspace URL? — Databricks workspace hostname (e.g., dbc-abc123.cloud.databricks.com)
  2. SQL Warehouse HTTP path? — Found in SQL Warehouse > Connection details
  3. Catalog and schema? — Unity Catalog name and target schema
  4. Authentication method? — Personal Access Token (PAT) or OAuth2 Machine-to-Machine (M2M)
  5. Non-default data plane? — Most users use the default. Ask if they need a non-default data plane.
  6. Source collections? — Which Estuary collections to materialize
  7. Hard deletes? — Off by default. Without it, deleted rows stay in Databricks marked with _meta/op: 'd'. Enable to physically remove them.
  8. Delta updates? — Off by default. Switches from one-row-per-key (standard merge) to append-only. Use for event logs or history tables.
  9. Sync schedule? — Controls how often batches are written to Databricks (default: 30 minutes, 0s for real-time). Affects latency and compute cost.

Read the full file on GitHub · 214 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 214 lines · 76 tokens per session scan A 57da7cce494a

Subscribe to this mod's changes

materialize-databricks-create is a skill published in the GitHub repository estuary/agent-skills (7 stars, last pushed 14d ago), licensed Apache-2.0. It adds 76 tokens to every session and 1,911 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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