databricks-synthetic-data-gen
Generates realistic synthetic data for Databricks using Spark, Faker, and Pandas UDFs with story-driven schemas that demonstrate business problems and…
Identity proven by GitHub's verified organisation badge (databricks)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode
- License
- LicenseRef-Databricks (restricted)
- Pin
- e3df77bpinned Oct 9, 2026
- Context cost
- about 3,100 tokenswhen the skill loads
- GitHub stars
- 345on databricks/databricks-agent-skills
- Scripts
- 1 script
What it does
“Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.”
Generated summary from the skill's own text
Generates realistic synthetic data for Databricks using Spark, Faker, and Pandas UDFs with story-driven schemas that demonstrate business problems and solutions. Supports multiple output formats (Parquet, JSON, CSV, Delta) and scales from thousands to millions of rows on serverless compute. Data includes skewed distributions and referential integrity to enable root cause analysis and trend detection.
When to use it
- User requests synthetic test data or demo datasets for Databricks
- Building data for dashboard or ML model training scenarios
- Demonstrating analytics on business incidents with measurable dollar impact
- Need realistic data at scale without manual row creation
When not to
- User wants uniform or random data without business context
- Data size under 10K rows and user prefers local generation
- User requires real production data instead of synthetic samples
Install
Restricted license: install from the publisher's repository and read its terms.
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-genInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install databricks/databricks-agent-skills databricks-synthetic-data-gen@e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6Installs the commit we checked (e3df77b).
Copy by hand
Download the folder at e3df77b and put it in .claude/skills/databricks-synthetic-data-gen for Claude Code and in .agents/skills/databricks-synthetic-data-gen for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install databricks@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "databricks-synthetic-data-gen" by Databricks. Source, pinned to commit e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6: https://github.com/databricks/databricks-agent-skills/tree/e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6/plugins/databricks/claude/skills/databricks-synthetic-data-gen 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/databricks-synthetic-data-gen/ for Claude Code and .agents/skills/databricks-synthetic-data-gen/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Its license is restricted or not stated. Show me the license terms from the repository before you copy anything. Listing and checks: https://www.agentnative.dev/skills/databricks/databricks-synthetic-data-gen
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md13 KB · d15491624bdc
- agents/
- openai.yaml644 B · d3826f2fb3cc
- assets/
- databricks.png15 KB · 06873c31ebda
- databricks.svg582 B · 00e528e4d5e6
- references/
- 1-data-patterns.md5.9 KB · 35ee7c4b76a6
- 2-troubleshooting.md9.6 KB · a684675504f6
- scripts/
- generate_synthetic_data.py11 KB · ab6a29e050ca
7 files, 56 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
Skill folder on GitHub at e3df77bAlso in
The same SKILL.md content appears in these places too. We list it once and credit the oldest public source.
- databricks/databricks-agent-skills/plugins/databricks/codex/skills/databricks-synthetic-data-gen
- databricks/databricks-agent-skills/plugins/databricks/copilot/skills/databricks-synthetic-data-gen
- databricks/databricks-agent-skills/plugins/databricks/cursor/skills/databricks-synthetic-data-gen
- databricks/databricks-agent-skills/skills/databricks-synthetic-data-gen
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