dvc-dataset-versioning
Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.
npx skills add a5c-ai/babysitter --skill dvc-dataset-versioning --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# dvc-dataset-versioning ## 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 ```json { "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":
- Overview
- Capabilities
- Target Processes
- Tools and Libraries
- Input Schema
- Output Schema
- Usage Example
What does the dvc-dataset-versioning skill do?
Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill dvc-dataset-versioning --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.