Azure Data Manager For Agri
MicrosoftDocs/Agent-Skills
Expert knowledge for Azure Data Manager for Agriculture development including limits & quotas, security, configuration, and integrations & coding patterns.
Official agent skill
Databricks Synthetic Data Gen
Generate realistic synthetic data using Spark + Faker (strongly recommended).
Install Databricks Synthetic Data Gen
$ npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-synthetic-data-gen --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/databricks-synthetic-data-gen .claude/skills/databricks-synthetic-data-gen && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "databricks-synthetic-data-gen" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-synthetic-data-gen into .claude/skills/databricks-synthetic-data-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-synthetic-data-gen", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-synthetic-data-genType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-synthetic-data-gen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/databricks-synthetic-data-gen .agents/skills/databricks-synthetic-data-gen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "databricks-synthetic-data-gen" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-synthetic-data-gen into .agents/skills/databricks-synthetic-data-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-synthetic-data-gen", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-synthetic-data-gen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/databricks-synthetic-data-gen .cursor/skills/databricks-synthetic-data-gen && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "databricks-synthetic-data-gen" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-synthetic-data-gen into .cursor/skills/databricks-synthetic-data-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-synthetic-data-gen", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/databricks/databricks-agent-skills.git --path skills/databricks-synthetic-data-gen--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-synthetic-data-gen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/databricks-synthetic-data-gen .gemini/skills/databricks-synthetic-data-gen && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "databricks-synthetic-data-gen" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-synthetic-data-gen into .gemini/skills/databricks-synthetic-data-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-synthetic-data-gen", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install databricks/databricks-agent-skills databricks-synthetic-data-genInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/databricks-synthetic-data-gen .github/skills/databricks-synthetic-data-gen && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "databricks-synthetic-data-gen" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-synthetic-data-gen into .github/skills/databricks-synthetic-data-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-synthetic-data-gen", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-synthetic-data-gen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/databricks-synthetic-data-gen .opencode/skills/databricks-synthetic-data-gen && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "databricks-synthetic-data-gen" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-synthetic-data-gen into .opencode/skills/databricks-synthetic-data-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-synthetic-data-gen", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
databricks-synthetic-data-gen- GitHub stars
- 345
- Token cost
- ~3.2k tokens
- SKILL.md length
- 1,190 words
- Files
- 7 (incl. scripts, references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Generate realistic synthetic data using Spark + Faker (strongly recommended).
- Works in 3 steps: Gather Requirements → Present Plan with Story → Ask About Data Features
- User mentions synthetic data
- SKILL.md covers Data Must Tell a Business Story, References, Critical Rules and Generation Planning Workflow, plus 6 more sections
- Runs Python scripts from its folder; calls databricks and uv
What it does
Databricks Synthetic Data Gen is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. 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'.
Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `references/1-data-patterns.md` and `references/2-troubleshooting.md`). Compatibility notes: Requires databricks CLI (= v1.0.0)
It sits in Testing & QA, covering Test data and fixtures. It works with Databricks. The repository describes itself as: Databricks AI Tools: skills and plugins for building on Databricks with Claude Code, Cursor, Codex, GitHub Copilot, and other AI coding agents.
When your agent uses it
- User mentions synthetic data
- Tasks that involve Test data and fixtures
Example prompts
- “synthetic data”
- “test data”
- “generate data”
- “/databricks-synthetic-data-gen”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0)
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Gather Requirements
- Present Plan with Story
- Ask About Data Features
What it can do on your machine
Read from SKILL.md and the folder at commit f4fcec5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
databricksuv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires databricks CLI (>= v1.0.0)
From compatibility in the SKILL.md frontmatter.
Context cost
Databricks Synthetic Data Gen loads about 3.2k tokens when it runs, and up to ~7.1k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 1,190 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,190 words (~3,202 tokens).
“Generate realistic, story-driven synthetic data for Databricks using Spark + Faker + Pandas UDFs (strongly recommended).”
- name
- databricks-synthetic-data-gen
- compatibility
- Requires databricks CLI (>= v1.0.0)
- metadata.version
- 0.1.0
- parent
- databricks-core
Files
SKILL.md and 6 other files (scripts, references, assets) in skills/databricks-synthetic-data-gen of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
- references/1-data-patterns.md
- references/2-troubleshooting.md
- scripts/generate_synthetic_data.py
Open the folder on GitHubat commit f4fcec5
Compare with similar skills
Databricks Synthetic Data Gen next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Databricks Synthetic Data Gen this skilldatabricks/databricks-agent-skills | 345 | — | ~3.2k | Automated safety check: Pass | Custom licence | |
| Azure Data Manager For AgriMicrosoftDocs/Agent-Skills | 775 | — | ~1.6k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Data FactoryMicrosoftDocs/Agent-Skills | 775 | 1 repos | ~16k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Synapse AnalyticsMicrosoftDocs/Agent-Skills | 775 | 1 repos | ~13k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure DatabricksMicrosoftDocs/Agent-Skills | 775 | 1 repos | ~14k | Automated safety check: Pass | CC-BY-4.0 | |
| Azure Energy Data ServicesMicrosoftDocs/Agent-Skills | 775 | — | ~2.5k | Automated safety check: Pass | CC-BY-4.0 |
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Related
Works with
Categories
Questions about Databricks Synthetic Data Gen
What does Databricks Synthetic Data Gen do?
Generate realistic synthetic data using Spark + Faker (strongly recommended). Databricks Synthetic Data Gen is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Generate realistic synthetic data using Spark + Faker (strongly recommended).
When should I use Databricks Synthetic Data Gen?
Databricks Synthetic Data Gen fits situations like: user mentions synthetic data; tasks that involve Test data and fixtures.
How do I install Databricks Synthetic Data Gen in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a claude-code`. Or copy the skill folder (skills/databricks-synthetic-data-gen in databricks/databricks-agent-skills) into .claude/skills/databricks-synthetic-data-gen in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Synthetic Data Gen in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a codex`. Or copy the skill folder (skills/databricks-synthetic-data-gen in databricks/databricks-agent-skills) into .agents/skills/databricks-synthetic-data-gen in your project. Codex loads it when a task matches its description.
Can I use Databricks Synthetic Data Gen in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add databricks/databricks-agent-skills --skill databricks-synthetic-data-gen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/databricks-synthetic-data-gen, .gemini/skills/databricks-synthetic-data-gen, .github/skills/databricks-synthetic-data-gen and .opencode/skills/databricks-synthetic-data-gen in your project.
What does Databricks Synthetic Data Gen need to run?
Going by SKILL.md and its folder, Databricks Synthetic Data Gen needs Python for the scripts in its folder and the command-line tools its instructions call (databricks and uv). Our summary lists: Python 3. Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0).
Does Databricks Synthetic Data Gen access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Databricks Synthetic Data Gen safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Databricks Synthetic Data Gen use?
Databricks Synthetic Data Gen has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Databricks Synthetic Data Gen use?
About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.9k tokens, read only when the agent opens those files.
What are the alternatives to Databricks Synthetic Data Gen?
Skills that share tags, products or a category with Databricks Synthetic Data Gen: Azure Data Manager For Agri (MicrosoftDocs/Agent-Skills, 775 stars), Azure Data Factory (MicrosoftDocs/Agent-Skills, 775 stars), Azure Synapse Analytics (MicrosoftDocs/Agent-Skills, 775 stars) and Azure Databricks (MicrosoftDocs/Agent-Skills, 775 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databricks Synthetic Data Gen?
databricks (a GitHub organization, an official publisher) maintains it in databricks/databricks-agent-skills, which has 345 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 6, 2026.
Source: databricks/databricks-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.