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

.claude/skills/databricks-lakebase-autoscale/SKILL.md

databricks-lakebase-autoscale is a skill for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 41 tokens per session (2,777 once invoked), scanned A, original, MIT.

A guide to Lakebase Autoscaling, a Databricks-managed PostgreSQL database whose computing capacity can adjust to demand and pause when unused.

In plain words
What is it for?
Use it to manage database projects, branches, computing resources, credentials, and data synced from Databricks tables.
Why use it?
It provides database patterns for reducing idle compute and creating separate development or test environments without copying the whole database.

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 41 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-lakebase-autoscale/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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README.md
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<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-lakebase-autoscale"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-lakebase-autoscale.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,777 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 $0.00041 $0.02777
Opus 5.5 $0.00016 $0.01111
Sonnet 5.5 $0.00008 $0.00555
Haiku 4.5 $0.00004 $0.00278

Measured 1mo ago against content hash ecab36a732da, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-lakebase-autoscale 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-lakebase-autoscale/SKILL.md · 295 lines

How it starts

The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lakebase Autoscaling

Patterns and best practices for using Lakebase Autoscaling, the next-generation managed PostgreSQL on Databricks with autoscaling compute, branching, scale-to-zero, and instant restore.

When to Use

Use this skill when:

  • Building applications that need a PostgreSQL database with autoscaling compute
  • Working with database branching for dev/test/staging workflows
  • Adding persistent state to applications with scale-to-zero cost savings
  • Implementing reverse ETL from Delta Lake to an operational database via synced tables
  • Managing Lakebase Autoscaling projects, branches, computes, or credentials

Overview

Lakebase Autoscaling is Databricks' next-generation managed PostgreSQL service for OLTP workloads. It provides autoscaling compute, Git-like branching, scale-to-zero, and instant point-in-time restore.

Feature Description
Autoscaling Compute 0.5-112 CU with 2 GB RAM per CU; scales dynamically based on load
Scale-to-Zero Compute suspends after configurable inactivity timeout
Branching Create isolated database environments (like Git branches) for dev/test
Instant Restore Point-in-time restore from any moment within the configured window (up to 35 days)
OAuth Authentication Token-based auth via Databricks SDK (1-hour expiry)
Reverse ETL Sync data from Delta tables to PostgreSQL via synced tables

Available Regions (AWS): us-east-1, us-east-2, eu-central-1, eu-west-1, eu-west-2, ap-south-1, ap-southeast-1, ap-southeast-2

Available Regions (Azure Beta): eastus2, westeurope, westus

Project Hierarchy

Understanding the hierarchy is essential for working with Lakebase Autoscaling:

Project (top-level container)
  └── Branch(es) (isolated database environments)
        ├── Compute (primary R/W endpoint)
        ├── Read Replica(s) (optional, read-only)
        ├── Role(s) (Postgres roles)
        └── Database(s) (Postgres databases)
              └── Schema(s)

Read the full file on GitHub · 295 lines

Files

What ships with it

5 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 · 295 lines · 41 tokens per session scan A ecab36a732da

Subscribe to this mod's changes

databricks-lakebase-autoscale is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 41 tokens to every session and 2,777 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.

DatabasesPostgreSQLdatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
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