Build and run Kailash workflows with nodes, connections, and runtime execution.
npx skills add https://github.com/FFOO6866/lead2cash --skill core-sdk-ffoo6866
Please help me install this Agent Skill. Skill: core-sdk Source: https://github.com/FFOO6866/lead2cash/tree/main/.claude/skills/01-core-sdk Command: npx skills add https://github.com/FFOO6866/lead2cash --skill core-sdk-ffoo6866
This Skill helps you understand and correctly use the Kailash Core SDK so you can design workflow automation without getting stuck on node configuration, connections, runtime selection, async patterns, or lifecycle rules.
Create a workflow with WorkflowBuilder, wire nodes using 4-parameter connections, build it, then run it with a LocalRuntime context manager using runtime.execute(workflow.build()).
High-intent search queries and answers about installing and using this skill.
Use WorkflowBuilder to configure nodes with the canonical 4-parameter syntax, wire data ports using 4-parameter connections, then execute via runtime.execute(workflow.build()) within a LocalRuntime context manager for deterministic workflow execution.
Choose AsyncLocalRuntime over LocalRuntime when your workflow execution requires async-capable orchestration, such as handling concurrent node processing, cycles, or conditional routing patterns that demand non-blocking runtime execution behavior.
The correct way to connect data ports is using the canonical 4-parameter connection syntax, which ensures reliable data flow between nodes by explicitly defining source node, source port, target node, and target port in the workflow graph.
Yes, the core SDK supports advanced production patterns including MCP integration, conditional routing, cycles, error handling, and runtime diagnostics, enabling complex async orchestration across CLI, scripts, and Docker or Nexus deployments.
Yes, Kailash workflows can be deployed across Docker and Nexus environments, with the core SDK providing production-ready capabilities like monitoring, validation, debugging, and observability to support enterprise runtime architecture requirements.
Workflow execution requires workflow.build() because it is the canonical contract that compiles node graphs and connection definitions into a runnable object the runtime can process, ensuring deterministic or async-capable execution without configuration errors.
adiomasRun typecheck, lint, tests, and build in deterministic order.
christian-bromannExecute compiled LangGraph graphs with invoke, stream, and batch patterns.
myeohVmzrka92Build Kailash Core SDK workflows with WorkflowBuilder, runtimes, and observability.
ssssssssassssssDesign, connect, and execute Kailash workflows with the Core SDK.
