Goldsky
Official@goldsky-io
Offers high-throughput blockchain data indexing and pipeline management for real-time synchronization into PostgreSQL, ClickHouse, Kafka, and S3 storage environments.
Agent Skills by Goldsky
Showing 11 vetted skills indexed across 2 GitHub repositories.
goldsky-ioauth-setup
Authenticate and configure Goldsky CLI access with token-based login.
goldsky-iosecrets
Manage Goldsky pipeline sink secrets via interactive CLI workflows.
goldsky-iodatasets
Validate Goldsky dataset names and versions for Turbo pipelines.
goldsky-ioturbo-architecture
Guide Turbo pipeline architecture across sources, patterns, sizing, and deployment strategies.
goldsky-ioturbo-transforms
Decode blockchain logs with SQL and TypeScript transforms.
goldsky-iogoldsky-datasets
Discover and validate blockchain datasets for Turbo pipelines.
goldsky-iogoldsky-secrets
Manage Goldsky pipeline sink credentials for PostgreSQL, ClickHouse, Kafka, and S3.
goldsky-iogoldsky-auth-setup
Automate Goldsky CLI installation, token-based login, and project verification.
goldsky-ioturbo-lifecycle
List, delete, and clean up Goldsky Turbo pipelines via CLI commands.
goldsky-ioturbo-pipelines
Create, configure, and update Turbo pipelines with YAML validation and deployment workflows.
goldsky-ioturbo-monitor-debug
Monitor Turbo pipeline health, logs, and data flow via Goldsky CLI commands.
Frequently Asked Questions About Goldsky
FAQPage SchemaWhat specific data destinations are supported for pipeline sinks?▼
Goldsky supports direct data synchronization into PostgreSQL, ClickHouse, Kafka, and S3. These sinks allow for the ingestion of decoded blockchain logs, enabling real-time analytical access to ledger data within your existing database or message queue infrastructure.
Which technical personas benefit from these indexing capabilities?▼
Data engineers, blockchain developers, and backend infrastructure architects utilize these capabilities to bridge decentralized ledger data with centralized storage systems. These professionals use the provided configuration patterns to manage data throughput, schema validation, and pipeline health monitoring.
What are the prerequisites for deploying a new data pipeline?▼
Deployment requires an authenticated environment with valid sink credentials for your target destination, such as PostgreSQL or Kafka. Users must define pipeline architecture using YAML configurations and ensure proper dataset versioning to maintain data integrity during the indexing process.