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

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

databricks-docs is a skill for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 27 tokens per session (665 once invoked), scanned A, original, MIT.

A reference to Databricks documentation, where Databricks is a platform for processing and analysing data in the cloud. It helps an agent look up official information about Databricks concepts and programming interfaces.

In plain words
What is it for?
It helps find documentation links and guidance for Databricks features, APIs, and workflows.
Why use it?
It provides authoritative background when other instructions do not cover a Databricks question, while leaving actions to the relevant tools.

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 27 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-docs/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.

agentmods badge for databricks-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-docs/github.svg)](https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-docs)
Your own site
<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-docs"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-docs/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for databricks-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/alessandro9110/speech-to-text-with-databricks/databricks-docs"><img src="https://agentmods.dev/badge/skills/alessandro9110/speech-to-text-with-databricks/databricks-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 665 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 $0.00027 $0.00665
Opus 5.5 $0.00011 $0.00266
Sonnet 5.5 $0.00005 $0.00133
Haiku 4.5 $0.00003 $0.00067

Measured 1mo ago against content hash 3aeda2320538, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-docs 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-docs/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Databricks Documentation Reference

This skill provides access to the complete Databricks documentation index via llms.txt - use it as a reference resource to supplement other skills and inform your use of MCP tools.

Role of This Skill

This is a reference skill, not an action skill. Use it to:

  • Look up documentation when other skills don't cover a topic
  • Get authoritative guidance on Databricks concepts and APIs
  • Find detailed information to inform how you use MCP tools
  • Discover features and capabilities you may not know about

Always prefer using MCP tools for actions (execute_sql, create_or_update_pipeline, etc.) and load specific skills for workflows (databricks-python-sdk, databricks-spark-declarative-pipelines, etc.). Use this skill when you need reference documentation.

How to Use

Fetch the llms.txt documentation index:

URL: https://docs.databricks.com/llms.txt

Use WebFetch to retrieve this index, then:

  1. Search for relevant sections/links
  2. Fetch specific documentation pages for detailed guidance
  3. Apply what you learn using the appropriate MCP tools

Documentation Structure

The llms.txt file is organized by category:

  • Overview & Getting Started - Basic concepts and tutorials
  • Data Engineering - Lakeflow, Spark, Delta Lake, pipelines
  • SQL & Analytics - Warehouses, queries, dashboards
  • AI/ML - MLflow, model serving, GenAI
  • Governance - Unity Catalog, permissions, security
  • Developer Tools - SDKs, CLI, APIs, Terraform

Example: Complementing Other Skills

Scenario: User wants to create a Delta Live Tables pipeline

  1. Load databricks-spark-declarative-pipelines skill for workflow patterns
  2. Use this skill to fetch docs if you need clarification on specific DLT features
  3. Use create_or_update_pipeline MCP tool to actually create the pipeline

Scenario: User asks about an unfamiliar Databricks feature

  1. Fetch llms.txt to find relevant documentation
  2. Read the specific docs to understand the feature
  3. Determine which skill/tools apply, then use them

Read the full file on GitHub · 65 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. 1mo ago First seen · 65 lines · 27 tokens per session scan A 3aeda2320538

Subscribe to this mod's changes

databricks-docs is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 27 tokens to every session and 665 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.

Data and AIdatabricksdelta-lakegenerative-ailakehousemachinespeech-to-text
Related

databricks-docs compared with skills from other repositories

databricks-docs next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
databricks-docsalessandro9110/Speech-To-Text-With-DatabricksSkill48mo agoMITA27Claude Code
databricks-expertpersonamanagmentlayer/pclSkill4411d agoApache-2.0A74Claude Code
datacoolie-builddatacoolie/datacoolieSkill1115d agoAGPL-3.0A57Codex
datacoolie-designdatacoolie/datacoolieSkill1115d agoAGPL-3.0A46Claude Code, Codex
adversarial-ml-evasionPurpleAILAB/DecepticonSkill6.5k8d agoApache-2.0A36Claude Code
llm-redteam-overviewPurpleAILAB/DecepticonSkill6.5k8d agoApache-2.0A58Claude Code
misinformationPurpleAILAB/DecepticonSkill6.5k8d agoApache-2.0A49Claude Code, Codex