veadk-skills

To convert Langchain or Dify workflows into VeADK agents, this skill translates your existing logic into a VeADK-compatible architecture featuring a root_agent and clear sub-agents. It ensures structured prompts and modular tooling for safe, reproducible code generation.

Generating a VeADK agent architecture from requirements involves analyzing your needs to produce a root_agent and sub-agent implementations. This skill provides reusable examples, structured prompts, and reference documentation templates to enable modular tooling and reproducible code.

Migrating existing Langgraph logic to VeADK preserves your workflow structure by mapping it into a root_agent and sub-agent architecture. The skill applies reference documentation governance to ensure the translated agent code remains modular and reproducible.

VeADK code generation supports structured prompts and modular tooling by applying reference documentation governance and reusable implementation templates. This ensures the generated root_agent and sub-agents are safe and reproducible.

A root_agent and sub-agents are needed when converting Dify workflows to VeADK to provide a clear, modular architecture. This structure enables safe, reproducible code generation and satisfies structured prompt requirements for your translated logic.

Converting existing logic into VeADK agents requires strict adherence to reference documentation governance to ensure safe, reproducible code generation. Without structured prompts and modular tooling, the translated Langchain or Dify workflows may lack the necessary architecture clarity.