Guide eight structured questions to craft a LangGraph agent design doc.
npx skills add https://github.com/markhazlett/agent-harness --skill lg-design
Please help me install this Agent Skill. Skill: lg-design Source: https://github.com/markhazlett/agent-harness/tree/main/.claude/skills/lg-design Command: npx skills add https://github.com/markhazlett/agent-harness --skill lg-design
This skill helps teams design LangGraph agents before implementation by guiding a structured design process and producing a formal design doc.
Begin by defining the agent's core purpose and expected workflow, then let the skill generate a complete LangGraph design doc.
High-intent search queries and answers about installing and using this skill.
Guide LangGraph agent design by answering eight structured questions covering purpose, triggers, external surfaces, and memory. This produces a formal design doc and a slug suitable for code scaffolding.
Selecting an agent design pattern for LangGraph involves evaluating multi-agent setup, run length, and human-in-the-loop needs. A guided design process captures these inputs to recommend the appropriate pattern for your workflow.
Generate a LangGraph design doc by defining the agent's core purpose and expected workflow, then completing an eight-phase conversation. This produces a formal design artifact capturing memory, streaming, and persistence.
Yes, you can plan LangGraph human-in-the-loop and streaming requirements through a structured design process. It explicitly asks about HITL, streaming, and persistence to ensure these operational needs are formalized before implementation.
LangGraph agent design requires defining external surfaces and triggers to formalize the workflow. Capturing these inputs ensures the generated design doc accurately reflects how the agent interacts with external systems and initiates actions.
kireevkit15-sysSimplify UI and product designs by removing non-essential elements.
sanskarbasnetConvert an active intent into a structured spec document with seven sections.
daniel-dihardjaDesign and execute LangGraph agent workflows as directed state graphs.
UsernameTronDocument multi-agent orchestration patterns, token economics, and prompt engineering principles.
