What is databricks-genie?

Tools for creating and querying Databricks Genie Spaces, conversational interfaces that turn plain-language questions about structured data into SQL queries and results.

Use it to create or update a Genie Space, connect Unity Catalog tables, add example questions, and ask questions through the Conversation API.

It lets people explore database tables by asking questions in everyday language, while still using SQL behind the scenes. It also helps inspect schemas and test queries when setting up a space.

How alessandro9110/Speech-To-Text-With-Databricks configures Claude Co

Reuse

Borrowing it

Nothing to install: this file belongs to alessandro9110/Speech-To-Text-With-Databricks. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/alessandro9110/Speech-To-Text-With-Databricks/main/.claude/skills/databricks-genie/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-Databricks

Made for: Claude Code.

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.

README.md

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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 906 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00034	$0.00906
Opus 5.5	$0.00014	$0.00362
Sonnet 5.5	$0.00007	$0.00181
Haiku 4.5	$0.00003	$0.00091

Measured 1mo ago against content hash 71724cfa5872, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-genie 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 1mo 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.

.claude/skills/databricks-genie/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Databricks Genie

Create and query Databricks Genie Spaces - natural language interfaces for SQL-based data exploration.

Overview

Genie Spaces allow users to ask natural language questions about structured data in Unity Catalog. The system translates questions into SQL queries, executes them on a SQL warehouse, and presents results conversationally.

When to Use This Skill

Use this skill when:

Creating a new Genie Space for data exploration
Adding sample questions to guide users
Connecting Unity Catalog tables to a conversational interface
Asking questions to a Genie Space programmatically (Conversation API)

MCP Tools

Space Management

Tool	Purpose
`create_or_update_genie`	Create or update a Genie Space
`get_genie`	Get space details (by ID) or list all spaces (no ID)
`delete_genie`	Delete a Genie Space

Conversation API

Tool	Purpose
`ask_genie`	Ask a question or follow-up (`conversation_id` optional)

Supporting Tools

Tool	Purpose
`get_table_details`	Inspect table schemas before creating a space
`execute_sql`	Test SQL queries directly

Quick Start

1. Inspect Your Tables

Before creating a Genie Space, understand your data:

get_table_details(
    catalog="my_catalog",
    schema="sales",
    table_stat_level="SIMPLE"
)

2. Create the Genie Space

create_or_update_genie(
    display_name="Sales Analytics",
    table_identifiers=[
        "my_catalog.sales.customers",
        "my_catalog.sales.orders"
    ],
    description="Explore sales data with natural language",
    sample_questions=[
        "What were total sales last month?",
        "Who are our top 10 customers?"
    ]
)

3. Ask Questions (Conversation API)

ask_genie(
    space_id="your_space_id",
    question="What were total sales last month?"
)
# Returns: SQL, columns, data, row_count

Workflow

1. Inspect tables    → get_table_details
2. Create space      → create_or_update_genie
3. Query space       → ask_genie (or test in Databricks UI)
4. Curate (optional) → Use Databricks UI to add instructions

Read the full file on GitHub · 127 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

1mo ago First seen · 127 lines · 34 tokens per session scan A 71724cfa5872

Subscribe to this mod's changes

databricks-genie is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 34 tokens to every session and 906 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-02.

Analytics and metrics Data and AI databricks delta-lake generative-ai lakehouse machine speech-to-text

databricks-genie next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
databricks-geniealessandro9110/Speech-To-Text-With-Databricks	Skill	4	8mo ago	MIT	A	34	Claude Code
databricks-expertpersonamanagmentlayer/pcl	Skill	44	11d ago	Apache-2.0	A	74	Claude Code
datacoolie-builddatacoolie/datacoolie	Skill	11	15d ago	AGPL-3.0	A	57	Codex
datacoolie-designdatacoolie/datacoolie	Skill	11	15d ago	AGPL-3.0	A	46	Claude Code, Codex
adversarial-ml-evasionPurpleAILAB/Decepticon	Skill	6.5k	8d ago	Apache-2.0	A	36	Claude Code
llm-redteam-overviewPurpleAILAB/Decepticon	Skill	6.5k	8d ago	Apache-2.0	A	58	Claude Code
misinformationPurpleAILAB/Decepticon	Skill	6.5k	8d ago	Apache-2.0	A	49	Claude Code, Codex

Speech-To-Text-With-Databricks: Skill for Claude Code