# Data Versioning

> Version datasets and models: DVC, LakeFS, Delta Lake for tracking data changes, reproducing experiments, and maintaining data lineage. Use when you need reproducibility or data governance.

- **Type:** Skill
- **Install:** `agentstack add skill-ericwang915-data-scientist-skills-data-versioning`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ericwang915](https://agentstack.voostack.com/s/ericwang915)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ericwang915](https://github.com/ericwang915)
- **Source:** https://github.com/ericwang915/data-scientist-skills/tree/main/ds-mlops/skills/data-versioning

## Install

```sh
agentstack add skill-ericwang915-data-scientist-skills-data-versioning
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Data Versioning

## Purpose
Track dataset and model versions to ensure reproducibility and maintain data lineage.

## How It Works

### Tool Selection

| Tool | Best For | Storage |
|------|----------|---------|
| DVC | Git-based, ML projects | S3, GCS, local |
| LakeFS | Data lake versioning | S3-compatible |
| Delta Lake | Spark/Databricks | Cloud storage |
| Git LFS | Small binary files | Git remote |

### DVC Workflow
1. Initialize DVC in your git repo
2. Track data files with `dvc add`
3. Push data to remote storage
4. Version with git commits
5. Reproduce with `dvc repro`

### Best Practices
- Never commit large data to git
- Tag important data versions (training sets, releases)
- Document data changes in commit messages
- Automate data validation on version changes

## Usage Examples

```
"Set up DVC to version our training datasets stored on S3"
```

## Output Format

- **Setup Guide**: Tool installation and configuration
- **Workflow**: How to version, retrieve, and compare data
- **Python Code**: Programmatic versioning integration

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ericwang915](https://github.com/ericwang915)
- **Source:** [ericwang915/data-scientist-skills](https://github.com/ericwang915/data-scientist-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-ericwang915-data-scientist-skills-data-versioning
- Seller: https://agentstack.voostack.com/s/ericwang915
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.