Discover and validate blockchain datasets for Turbo pipelines.
npx skills add https://github.com/goldsky-io/agent-skills --skill goldsky-datasets
Please help me install this Agent Skill. Skill: goldsky-datasets Source: https://github.com/goldsky-io/agent-skills/tree/main/skills/goldsky-datasets Command: npx skills add https://github.com/goldsky-io/agent-skills --skill goldsky-datasets
This Skill helps data teams quickly identify and validate available blockchain datasets for Turbo pipelines, enabling faster data discovery and pipeline design.
Use this skill to identify candidate datasets such as base.erc20_transfers and validate them with goldsky turbo validate using a minimal YAML spec.
High-intent search queries and answers about installing and using this skill.
To discover blockchain datasets for Turbo pipelines, use a validation-first workflow to verify dataset references. This approach helps you identify available token transfers, logs, and block data across supported chains while avoiding slow discovery commands.
The best way to validate blockchain dataset references is using a fast validation workflow with minimal YAML specs. You can verify candidate datasets like base.erc20_transfers by running goldsky turbo validate checks before listing available options.
Dataset validation for ERC-20 transfer pipelines works by checking vetted dataset names and versions against verified reference tables. This mechanism ensures you select the correct dataset name and version for your specific token transfer pipeline needs.
Yes, you can use blockchain datasets across multiple chains and versions in Turbo pipelines. The dataset discovery process covers various supported chains, helping you find the right dataset references for token transfers, logs, and block data.
Listing all dataset options is slow because comprehensive discovery commands require extensive processing. The recommended approach uses a validation-first workflow with vetted reference tables to bypass slow discovery and quickly identify the correct dataset names.
You need to validate blockchain datasets before pipeline design when building data flows for token transfers or block data. Validating datasets upfront with minimal YAML specs prevents pipeline errors and accelerates model-building for supported chains.
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