nonlinear-xyz

LLM Workflow Engineer — Data & AI agent for Claude Code

Data & AI community

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

Terminal
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

Alternatives in Data & AI

  • Agentic Auditor — PYA specialist spawned by the /pya orchestrator 240 ★
  • Review Code Style — A code review agent that evaluates code quality, readability, naming conventions, DRY violations, dead code, a 134 ★
  • Bm Domain Researcher — Researches the business domain and real-world application context of the AI system being built 92 ★

Full documentation available on GitHub

View Source Repository