GraphChain
Official@chaingraphlabs
GraphChain is Agentic Layer for Machine Economy
Agent Skills by GraphChain
Showing 15 vetted skills indexed across 1 GitHub repositories.
chaingraphlabsoptimistic-updates
Implements optimistic updates for collaborative frontend apps with echo detection and debounced server communication.
chaingraphlabsexecutor-architecture
Document the chaingraph-executor package architecture, components, and interaction patterns.
chaingraphlabsxyflow-patterns
Integrate XYFlow patterns into the ChainGraph visual flow editor.
chaingraphlabsfrontend-architecture
Document frontend architecture guidance for ChainGraph's visual flow editor package.
chaingraphlabstypes-architecture
Define TypeScript architecture and core type definitions for ChainGraph.
chaingraphlabssubscription-sync
Synchronize real-time backend and frontend data via WebSocket subscriptions.
chaingraphlabstrpc-flow-editing
Automate tRPC flow CRUD, node/edge operations, and subscriptions for ChainGraph.
chaingraphlabseffector-patterns
Guide Effector state management with sample, attach, and combine patterns.
chaingraphlabsskill-maintenance
Guide skill updates after codebase changes with minimal-change principles.
chaingraphlabstrpc-execution
Orchestrates ChainGraph flow executions via tRPC APIs with lifecycle management and real-time event streaming.
chaingraphlabsdbos-patterns
Enforce DBOS method usage rules across workflows and steps.
chaingraphlabschaingraph-concepts
Explain ChainGraph core concepts including flows, nodes, ports, edges, and execution.
chaingraphlabstrpc-patterns
Implement type-safe tRPC APIs with routers, procedures, and Zod validation.
chaingraphlabsskill-authoring
Standardize Claude Code skill creation and organization for the ChainGraph project.
chaingraphlabsport-system
Design and validate ChainGraph port systems with nine port types, plugins, factory, and transfer rules.
Frequently Asked Questions About GraphChain
FAQPage SchemaWhat specific tasks are enabled by GraphChain's architecture?▼
GraphChain enables the construction of visual flow editors, real-time WebSocket data synchronization, and type-safe execution orchestration. It provides patterns for managing complex node-edge relationships, implementing optimistic UI updates for collaborative environments, and enforcing strict state management using Effector and tRPC routers for robust distributed system communication.
Which personas benefit from these architectural patterns?▼
Frontend engineers and system architects building collaborative visual interfaces benefit most from these patterns. The documentation and guidance are specifically designed for developers tasked with maintaining complex state, implementing real-time synchronization, and ensuring type-safe communication between visual flow components and backend execution environments.
What are the core prerequisites for implementing these patterns?▼
Implementation requires proficiency in TypeScript, tRPC, and Effector state management. Developers must understand the core concepts of nodes, ports, and edges within the GraphChain ecosystem, as well as the specific requirements for DBOS method usage and Zod validation schemas to ensure system-wide type safety.