dvc

Guide interactive DVC data-management tasks with safety confirmations in the Orbit Wars repo.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/YuriNakayama/orbit-wars --skill dvc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dvc
Source: https://github.com/YuriNakayama/orbit-wars/tree/main/.claude/skills/dvc
Command: npx skills add https://github.com/YuriNakayama/orbit-wars --skill dvc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

DVC helps manage data files and pipelines across experiments, but this skill provides an interactive runner inside the Orbit Wars repo, enabling users to execute DVC operations without remembering exact commands and with safety prompts for risky actions.

Core Features & Use Cases

  • Interactive category → command → arguments flow with built-in safety confirmations for risky operations.
  • Executes common DVC operations such as status, dag, diff, metrics show, pull, fetch, push, add, and commit using repository conventions (backend venv, default S3 remote with orbit-wars profile, and a shared cache).
  • Use case: a data scientist wants to verify local outs against the remote cache and synchronize data across team worktrees without typing full DVC syntax.

Quick Start

Trigger the DVC workflow by typing /dvc in the Orbit Wars interface and follow the prompts.

Frequently Asked Questions about dvc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run DVC commands interactively without remembering the exact syntax?

You can run DVC commands interactively by triggering a guided workflow that walks you through selecting a category, subcommand, and arguments before execution. This interactive DVC runner eliminates the need to memorize exact command syntax for data version control operations.

What DVC operations are supported for managing data pipelines and experiments?

Supported DVC operations include status, dag, diff, metrics show, pull, push, fetch, add, and commit. These data version control operations cover common pipeline and experiment management tasks, executed using repository conventions like the backend venv and S3 remote.

Does the interactive DVC runner provide safety confirmations for destructive actions?

Yes, the interactive DVC runner provides built-in safety confirmations before executing potentially destructive operations. When performing risky data version control tasks like push, pull, or commit, the guided flow prompts for confirmation to prevent accidental data loss.

How do I synchronize data across team worktrees using DVC with an S3 remote?

You can synchronize data across team worktrees by using the interactive DVC pull and push commands. The runner enforces repository conventions automatically, utilizing a default S3 remote with the orbit-waws profile and a shared cache path to sync local outs against the remote cache.

Can I view DVC metrics and DAG directly within the Orbit Wars project environment?

Yes, you can view DVC metrics and DAG directly within the Orbit Wars project. The interactive runner supports metrics show to display experiment results and dag to visualize pipeline stages, operating seamlessly inside the established repository environment.

What are the limitations of using an interactive DVC workflow for data version control?

The interactive DVC workflow is limited to common operations like status, dag, diff, metrics, pull, push, fetch, add, and commit. It enforces specific repository conventions including a backend venv, S3 remote with orbit-wars profile, and shared cache, restricting flexibility outside this environment.