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

.claude/skills/databricks-jobs/SKILL.md

databricks-jobs is a skill for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 137 tokens per session (2,400 once invoked), scanned A, original, MIT.

A skill for managing Databricks Lakeflow Jobs, which run and monitor scheduled or triggered data workflows made of multiple tasks.

In plain words
What is it for?
Use it to configure notebook, Python, SQL, or dbt tasks; build multi-step workflows; set triggers; and manage jobs through the Python SDK, CLI, or Asset Bundles.
Why use it?
It provides patterns for creating, listing, running, updating, and deleting jobs, along with schedules, notifications, monitoring, and task configuration.

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 →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is notebook_path: ../src/notebooks/extract.py.

not rated 4repo 8mo ago A scan 137 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-jobs/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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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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Your own site · 80×15
<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-jobs"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-jobs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 137 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,400 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 $0.00137 $0.02400
Opus 5.5 $0.00055 $0.00960
Sonnet 5.5 $0.00027 $0.00480
Haiku 4.5 $0.00014 $0.00240

Measured 1mo ago against content hash 74a3add0e5d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-jobs 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-jobs/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Databricks Lakeflow Jobs

Overview

Databricks Jobs orchestrate data workflows with multi-task DAGs, flexible triggers, and comprehensive monitoring. Jobs support diverse task types and can be managed via Python SDK, CLI, or Asset Bundles.

Reference Files

Use Case Reference File
Configure task types (notebook, Python, SQL, dbt, etc.) task-types.md
Set up triggers and schedules triggers-schedules.md
Configure notifications and health monitoring notifications-monitoring.md
Complete working examples examples.md

Quick Start

Python SDK

from databricks.sdk import WorkspaceClient
from databricks.sdk.service.jobs import Task, NotebookTask, Source

w = WorkspaceClient()

job = w.jobs.create(
    name="my-etl-job",
    tasks=[
        Task(
            task_key="extract",
            notebook_task=NotebookTask(
                notebook_path="/Workspace/Users/[email protected]/extract",
                source=Source.WORKSPACE
            )
        )
    ]
)
print(f"Created job: {job.job_id}")

CLI

databricks jobs create --json '{
  "name": "my-etl-job",
  "tasks": [{
    "task_key": "extract",
    "notebook_task": {
      "notebook_path": "/Workspace/Users/[email protected]/extract",
      "source": "WORKSPACE"
    }
  }]
}'

Asset Bundles (DABs)

# resources/jobs.yml
resources:
  jobs:
    my_etl_job:
      name: "[${bundle.target}] My ETL Job"
      tasks:
        - task_key: extract
          notebook_task:
            notebook_path: ../src/notebooks/extract.py

Core Concepts

Multi-Task Workflows

Jobs support DAG-based task dependencies:

tasks:
  - task_key: extract
    notebook_task:
      notebook_path: ../src/extract.py

  - task_key: transform
    depends_on:
      - task_key: extract
    notebook_task:
      notebook_path: ../src/transform.py

  - task_key: load
    depends_on:
      - task_key: transform
    run_if: ALL_SUCCESS  # Only run if all dependencies succeed
    notebook_task:
      notebook_path: ../src/load.py

Read the full file on GitHub · 338 lines

Files

What ships with it

4 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 · 338 lines · 137 tokens per session scan A 74a3add0e5d9

Subscribe to this mod's changes

databricks-jobs is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 137 tokens to every session and 2,400 once invoked, about $0.0005 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.

CI and CDDevOps and clouddatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
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