datasets

Validate Goldsky dataset names and versions for Turbo pipelines.

8|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/goldsky-io/goldsky-agent --skill datasets-goldsky-io
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: datasets
Source: https://github.com/goldsky-io/goldsky-agent/tree/main/skills/datasets
Command: npx skills add https://github.com/goldsky-io/goldsky-agent --skill datasets-goldsky-io

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reference materials that map chain prefixes, dataset types, and versions to enable fast, correct dataset selection in Turbo pipelines and ensure consistency across environments.

Core Features & Use Cases

  • Comprehensive dataset catalog: chain prefixes, dataset types, and version history for quick discovery.
  • Version-aware validation: ensures selected datasets match available versions per chain.
  • Cross-chain guidance: includes Ethereum, Base, matic, Arbitrum, Optimism, BSC, Avalanche, Solana, Bitcoin, Stellar, Sui, NEAR, Starknet, and Fogo.

Quick Start

Ask the skill to locate a dataset name, verify its version, and confirm chain compatibility for your Turbo pipeline.

Frequently Asked Questions about datasets

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

FAQPage Schema
How do I find the correct dataset version for a specific blockchain in Turbo pipelines?

To find the correct dataset version for Turbo pipelines, identify the target chain prefix and dataset type, then validate the selection against the available version history. This ensures the chosen dataset matches the per-chain schema for chains like Ethereum, Base, or Arbitrum.

What Goldsky dataset types are available for cross-chain pipeline validation?

Available Goldsky dataset types for pipeline validation include erc20_transfers, erc721_transfers, raw_transactions, logs, and blocks. These types are validated across multiple chains like Solana, Bitcoin, Stellar, Sui, NEAR, Starknet, and Fogo.

Can I use erc721_transfers datasets across all supported chains like Arbitrum and Optimism?

Dataset availability for erc721_transfers depends on per-chain schema compatibility across supported networks like Arbitrum and Optimism. You must verify that the selected dataset name and version align with the specific chain's available schema before pipeline execution.

How do I validate a dataset name and confirm chain compatibility before running a pipeline?

To validate a dataset name, map it to the target chain and verify its version against the dataset catalog. This confirmation process ensures the selected dataset adheres to naming conventions and per-chain schemas, preventing pipeline execution errors.

Why does my Goldsky dataset selection fail version validation in Turbo pipelines?

Goldsky dataset selection fails version validation when the chosen dataset name does not match the available versions for the specified chain. Ensuring strict adherence to per-chain schemas and version history resolves these pipeline mapping inconsistencies.

Do I need to know specific naming conventions to select raw_transactions datasets for BSC or Avalanche?

Yes, selecting raw_transactions datasets for BSC or Avalanche requires knowledge of specific Goldsky naming conventions and available versions. Correct dataset identification ensures the data matches the per-chain schema required by Turbo pipelines.