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

.claude/skills/databricks-agent-bricks/SKILL.md

databricks-agent-bricks is a skill for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 57 tokens per session (2,321 once invoked), scanned A, original, MIT.

A set of Databricks building blocks for conversational AI: document question-answering, natural-language SQL exploration, and coordination between multiple AI agents.

In plain words
What is it for?
Use it to build document Q&A with PDFs or text files, ask questions about catalogued data in plain language, and connect deployed agents into a larger workflow.
Why use it?
It provides guidance for choosing and managing these components instead of designing each conversational application from scratch.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is alessandro9110/Speech-To-Text-With-Databricks's own configuration. It tells Claude Code how to work on Speech-To-Text-With-Databricks itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Speech-To-Text-With-Databricks configures →

not rated 4repo 8mo ago A scan 57 tokens original MIT
View source ↗ alessandro9110/Speech-To-Text-With-Databricks
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-agent-bricks/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/alessandro9110/Speech-To-Text-With-Databricks

Made for: Claude Code.

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Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,321 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00057 $0.02321
Opus 5.5 $0.00023 $0.00928
Sonnet 5.5 $0.00011 $0.00464
Haiku 4.5 $0.00006 $0.00232

Measured 1mo ago against content hash 720895329cd6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-agent-bricks 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-agent-bricks/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Bricks

Create and manage Databricks Agent Bricks - pre-built AI components for building conversational applications.

Overview

Agent Bricks are three types of pre-built AI tiles in Databricks:

Brick Purpose Data Source
Knowledge Assistant (KA) Document-based Q&A using RAG PDF/text files in Volumes
Genie Space Natural language to SQL Unity Catalog tables
Supervisor Agent (MAS) Multi-agent orchestration Model serving endpoints

Prerequisites

Before creating Agent Bricks, ensure you have the required data:

For Knowledge Assistants

  • Documents in a Volume: PDF, text, or other files stored in a Unity Catalog volume
  • Generate synthetic documents using the databricks-unstructured-pdf-generation skill if needed

For Genie Spaces

  • See the databricks-genie skill for comprehensive Genie Space guidance
  • Tables in Unity Catalog with the data to explore
  • Generate raw data using the databricks-synthetic-data-generation skill
  • Create tables using the databricks-spark-declarative-pipelines skill

For Supervisor Agents

  • Model Serving Endpoints: Deployed agent endpoints (KA endpoints, custom agents, fine-tuned models)
  • Genie Spaces: Existing Genie spaces can be used directly as agents for SQL-based queries
  • Mix and match endpoint-based and Genie-based agents in the same Supervisor Agent

For Unity Catalog Functions

  • Existing UC Function: Function already registered in Unity Catalog
  • Agent service principal has EXECUTE privilege on the function

For External MCP Servers

  • Existing UC HTTP Connection: Connection configured with is_mcp_connection: 'true'
  • Agent service principal has USE CONNECTION privilege on the connection

MCP Tools

Knowledge Assistant Tool

manage_ka - Manage Knowledge Assistants (KA)

  • action: "create_or_update", "get", "find_by_name", or "delete"
  • name: Name for the KA (for create_or_update, find_by_name)
  • volume_path: Path to documents (e.g., /Volumes/catalog/schema/volume/folder) (for create_or_update)
  • description: (optional) What the KA does (for create_or_update)
  • instructions: (optional) How the KA should answer (for create_or_update)
  • tile_id: The KA tile ID (for get, delete, or update via create_or_update)
  • add_examples_from_volume: (optional, default: true) Auto-add examples from JSON files (for create_or_update)

Read the full file on GitHub · 212 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.

  1. 1mo ago First seen · 212 lines · 57 tokens per session scan A 720895329cd6

Subscribe to this mod's changes

databricks-agent-bricks is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 57 tokens to every session and 2,321 once invoked, about $0.0002 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.

Building agentsData and AIRAG and vectorsdatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
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