dvc-dataset-versioning

SkillDatabases & data

Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.

Use dvc-dataset-versioning in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add dvc-dataset-versioning and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use the dvc-dataset-versioning skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

No other account needed.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

dvc-dataset-versioningStart free

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/data-science-ml/skills/dvc-dataset-versioning/SKILL.md and read by ahel’s review.

Overview

Dataset versioning skill using DVC (Data Version Control) for tracking data changes, managing data pipelines, and ensuring reproducibility in ML workflows.

Capabilities

Dataset version tracking
Data pipeline definition and execution
Remote storage management (S3, GCS, Azure, etc.)
Reproducibility enforcement
Data lineage tracking
Experiment comparison with data versions
Cache management for large datasets

Target Processes

Data Collection and Validation Pipeline
ML Model Retraining Pipeline
Feature Store Implementation

Tools and Libraries

DVC
Git
Remote storage SDKs (boto3, google-cloud-storage, etc.)

Input Schema

{
  "type": "object",
  "required": ["action"],
  "properties": {
    "action": {
      "type": "string",
      "enum": ["init", "add", "push", "pull", "diff", "checkout", "run", "repro"],
      "description": "DVC action to perform"
    },
    "paths": {
      "type": "array",
      "items": { "type": "string" },
      "description": "File or directory paths to track"
    },
    "remote": {
      "type": "string",
      "description": "Remote storage name"
    },
    "revision": {
      "type": "string",
      "description": "Git revision for checkout/diff"
    },
    "pipeline": {
      "type": "object",
      "description": "Pipeline stage definition for run action"
    }
  }
}

Output Schema

{
  "type": "object",
  "required": ["status", "action"],
  "properties": {
    "status": {
      "type": "string",
      "enum": ["success", "error"]
    },
    "action": {
      "type": "string"
    },
    "trackedFiles": {
      "type": "array",
      "items": { "type": "string" }
    },
    "changes": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "path": { "type": "string" },
          "status": { "type": "string" },
          "hash": { "type": "string" }
        }
      }
    },
    "remote": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "url": { "type": "string" },
        "syncStatus": { "type": "string" }
      }
    }
  }
}

Usage Example

{
  kind: 'skill',
  title: 'Version training dataset',
  skill: {
    name: 'dvc-dataset-versioning',
    context: {
      action: 'add',
      paths: ['data/train.csv', 'data/test.csv'],
      remote: 's3-bucket'
    }
  }
}

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: dvc-dataset-versioning
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter