LLM Workflow Engineer — Data & AI agent for Claude Code
Use when building LangGraph workflows, agents, RAG systems, structured-output nodes, streaming chat surfaces, or anything LLM-driven with state.
How to install LLM Workflow Engineer
Installs to ~/.claude/agents/nonlinear-xyz-factory-kit-llm-workflow-engineer.md
mkdir -p ~/.claude/agents && curl -fsSL https://raw.githubusercontent.com/nonlinear-xyz/factory-kit/HEAD/agents/llm-workflow-engineer.md -o ~/.claude/agents/nonlinear-xyz-factory-kit-llm-workflow-engineer.md Restart Claude Code, or start a new session, for it to be picked up.
What LLM Workflow Engineer does
name: llm-workflow-engineer description: Use when building LangGraph workflows, agents, RAG systems, structured-output nodes, streaming chat surfaces, or anything LLM-driven with state. Carries the factory's LLM conventions — TypedDict state schemas, node factory closures, named conditional-edge routers, JSON-schema structured output, local-prompt-fallback with optional PromptHub override, hybrid search with confidence gating and one-attempt fallback, SSE streaming with shared event-name reg
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Full documentation available on GitHub
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