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

.claude/skills/databricks-app-apx/SKILL.md

databricks-app-apx is a skill for Claude Code from alessandro9110/Speech-To-Text-With-Databricks. It costs 24 tokens per session (1,939 once invoked), scanned A, original, MIT.

A skill for building full-stack Databricks applications with APX, using FastAPI for the backend and React for the web interface.

In plain words
What is it for?
Use it to initialize or develop a Databricks app, add backend routes and models, and build its React interface when APX is the chosen framework.
Why use it?
It provides a defined setup and development path for APX projects, including checks for required tools and project configuration.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: names the TodoWrite tool.

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 →

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-app-apx/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 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,939 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00024 $0.01939
Opus 5.5 $0.00010 $0.00776
Sonnet 5.5 $0.00005 $0.00388
Haiku 4.5 $0.00002 $0.00194

Measured 1mo ago against content hash 3d9de586eb4e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

databricks-app-apx scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl http://localhost:8000/api/{entities} | jq .
.claude/skills/databricks-app-apx/SKILL.md · 254 lines

How it starts

The opening of the file, as written. The whole thing — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Databricks APX Application

Build full-stack Databricks applications using APX framework (FastAPI + React).

Trigger Conditions

Invoke when user requests:

  • "Databricks app" or "Databricks application"
  • Full-stack app for Databricks without specifying framework
  • Mentions APX framework

Do NOT invoke if user specifies: Streamlit, Dash, Node.js, Shiny, Gradio, Flask, or other frameworks.

Prerequisites Check

Option A) Repository configured for use with APX. 1.. Verify APX MCP available: mcp-cli tools | grep apx 2. Verify shadcn MCP available: mcp-cli tools | grep shadcn 3. Confirm APX project (check pyproject.toml)

Option B) Install APX

  1. Verify uv available or prompt for install. On Mac, suggest: brew install uv.
  2. Verify bun available or prompt for install. On Mac, suggest:
brew tap oven-sh/bun
brew install bun
  1. Verify git available or prompt for install.
  2. Run APX setup commands:
uvx --from git+https://github.com/databricks-solutions/apx.git apx init

Workflow Overview

Total time: 55-70 minutes

  1. Initialize (5 min) - Start servers, create todos
  2. Backend (15-20 min) - Models + routes with mock data
  3. Frontend (20-25 min) - Components + pages
  4. Test (5-10 min) - Type check + manual verification
  5. Document (10 min) - README + code structure guide

Phase 1: Initialize

# Start APX development server
mcp-cli call apx/start '{}'
mcp-cli call apx/status '{}'

Create TodoWrite with tasks:

  • Start servers ✓
  • Design models
  • Create API routes
  • Add UI components
  • Create pages
  • Test & document

Phase 2: Backend Development

Create Pydantic Models

In src/{app_name}/backend/models.py:

Follow 3-model pattern:

  • EntityIn - Input validation
  • EntityOut - Complete output with computed fields
  • EntityListOut - Performance-optimized summary

See backend-patterns.md for complete code templates.

Create API Routes

In src/{app_name}/backend/router.py:

Read the full file on GitHub · 254 lines

Files

What ships with it

3 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 · 254 lines · 24 tokens per session scan A 3d9de586eb4e

Subscribe to this mod's changes

databricks-app-apx is a skill published in the GitHub repository alessandro9110/Speech-To-Text-With-Databricks (4 stars, last pushed 8mo ago), licensed MIT. It adds 24 tokens to every session and 1,939 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-02.

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