goldsky-io

Pipeline changes can reset checkpoints, and unfamiliar log errors can delay recovery. This skill provides lifecycle guidance, monitoring commands, and a pattern-based log analysis helper.

Blockchain data pipelines require clear source boundaries, destination settings, and validation before deployment. This skill guides those decisions and uses Goldsky commands to validate and deploy approved configurations.

Failed deployments and stalled indexing can interrupt applications that depend on Goldsky Subgraphs. This skill guides evidence-based diagnosis, targeted repairs, and support escalation.

EVM applications need structured blockchain data through reliable GraphQL APIs. This skill guides Goldsky subgraph design, mapping development, testing, deployment, and endpoint configuration.

Incorrect dataset names and chain prefixes can prevent blockchain pipelines from loading data. This skill provides Goldsky reference tables and verification guidance for selecting datasets, schemas, and available versions.

Existing Compose apps can fail because of task errors, missing secrets, wallet settings, or deployment mismatches. This skill guides evidence-based diagnosis and proposes targeted fixes.

Pipeline configuration can be difficult when sources, transforms, sinks, and deployment modes interact. This skill provides practical YAML guidance and architecture decisions for reliable Goldsky Turbo designs.

Goldsky Turbo pipeline failures can interrupt data delivery and require careful investigation. This skill guides status checks, log analysis, and repair recommendations with confirmation before changes.

Moving from The Graph can require a reliable source identifier, deployment path, and endpoint transition. This skill guides the migration and verifies sync before application cutover.

Historical blockchain reads can increase RPC provider costs. This skill guides Goldsky Boost setup and cache troubleshooting while keeping your existing upstream provider.