domino-datasets
SkillWork with Domino Datasets - high-performance, versioned filesystem storage. Covers dataset creation, snapshots for versioning, sharing across projects, mounting paths (/domino/datasets/), and performance optimization. Use when managing data storage, creating reproducible data versions, or sharing da
Install
git clone https://github.com/dominodatalab/domino-claude-plugin.git ~/.claude/skills/domino-datasetsWhat is domino-datasets?
Work with Domino Datasets - high-performance, versioned filesystem storage. Covers dataset creation, snapshots for versioning, sharing across projects, mounting paths (/domino/datasets/), and performance optimization. Use when managing data storage, creating reproducible data versions, or sharing data between projects.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~80 tokens of context used while enabled, before you invoke anything
Documentation
README · ~6 min readDomino Datasets Skill
Description
This skill helps users work with Domino Datasets - high-performance, versioned filesystem storage for data science projects.
Activation
Activate this skill when users want to:
- Create or manage Domino Datasets
- Work with dataset snapshots and versioning
- Share data between projects
- Access large datasets efficiently
- Understand dataset paths and mounting
Reviews
Log in to leave a review.
No reviews yet — be the first.
Explore related
Other things in this space — across every part of the ecosystem, not just skills.
Skillssimilar to this one
All skills →hallmark
Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
20.1K stars
Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
14K stars
framework
Guide for the Atomic Agents Python framework — schemas, agents, tools, context providers, prompts, orchestration, and provider configuration. Use when code imports from `atomic_agents`, defines an `AtomicAgent`, `BaseTool`, or `BaseIOSchema`, or the user asks about multi-agent orchestration or LLM-p
6.1K stars