langsmith-dataset

Manage LangSmith datasets via CLI for AI model evaluation.

1|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/wpsadi/stock-agent --skill langsmith-dataset-wpsadi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langsmith-dataset
Source: https://github.com/wpsadi/stock-agent/tree/main/.agents/skills/langsmith-dataset
Command: npx skills add https://github.com/wpsadi/stock-agent --skill langsmith-dataset-wpsadi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires langsmith, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps users create, manage, and upload evaluation datasets to LangSmith, simplifying the process of testing and validating data.

Core Features & Use Cases

  • Dataset Creation: Generate datasets for various LangSmith use cases.
  • CLI Management: Utilize the langsmith CLI for efficient dataset operations.
  • SDK Usage: Integrate with LangSmith SDK for direct dataset manipulation.
  • Use Case: When preparing for an AI model evaluation, this Skill can help you organize and manage your training data in LangSmith.

Quick Start

Create a new dataset with the langsmith CLI: langsmith dataset create --name "My Dataset" --description "Training data for model A"

Frequently Asked Questions about langsmith-dataset

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

FAQPage Schema
How do I create an evaluation dataset in LangSmith?

You can create an evaluation dataset in LangSmith using the CLI command `langsmith dataset create` with specified name and description parameters. This organizes and manages your training data for AI model evaluation.

Does LangSmith SDK integration support direct dataset manipulation?

Yes, LangSmith SDK integration supports direct dataset manipulation. You can use the SDK alongside the langsmith CLI to generate datasets, manage examples, and track experiments for model evaluation.

Can I use this Skill to upload existing data for AI model evaluation?

Yes, this Skill supports data upload for AI model evaluation. It simplifies the process of uploading and validating your existing data within the LangSmith platform using CLI commands or the SDK.

What's the best way to manage examples in a LangSmith dataset?

The best way to manage examples in a LangSmith dataset is through the langsmith CLI or SDK. This allows efficient creation, manipulation, and tracking of data examples for your experiments.

Do I need LangSmith API access to manage datasets?

Yes, you need LangSmith API access to manage datasets. This access is required to authenticate CLI commands and SDK integration for dataset creation, example management, and experiment tracking.