Diag n8n

Turning official n8n tutorials into a Hood2 dependency map

Official n8n tutorials are a useful starting point because they are small, recognizable, and already teach the right concepts: create a workflow, call an API, branch, configure credentials, and test an AI agent.

Diag n8n uses those tutorials as a clean demo for Hood2.

Instead of treating each tutorial as a flat link, the wrapper turns it into a node in a learning and operations graph:

Tutorials
  Foundation
    Quickstart
    First Workflow
  AI
    Chat Agent

Operations
  n8n
    Local Instance
  Tutorial Resources
    NASA API
    AI Model Credential

Three tutorials are enough to show the pattern

The first map uses three official n8n tutorials:

Quickstart proves the local editor and runtime loop.
First Workflow introduces an external HTTP API and branching.
AI Chat Agent introduces model credentials and AI workflow readiness.

Each tutorial has a different dependency shape.

Quickstart only needs local n8n:

Quickstart -> Local Instance:local_n8n_ready

First Workflow depends on both learning order and an external service:

First Workflow -> Quickstart:runnable
First Workflow -> Local Instance:local_n8n_ready
First Workflow -> NASA API:api_reachable

Chat Agent is blocked by credential setup:

Chat Agent -> Local Instance:local_n8n_ready
Chat Agent -> AI Model Credential:credential_configured

Why this matters

Tutorial pages explain what to do. Hood2 can remember what each step depends on.

That means the same structure can later become executable:

start local n8n
seed tutorial workflows
check external APIs
verify credentials
import or export workflow fixtures
explain why a tutorial cannot run yet

The current Diag n8n version is intentionally read-only, but the model is already useful. It shows the separation of responsibilities:

n8n owns workflow editing and execution.
Hood2 owns hierarchy, prerequisites, dependency links, and operational checks.
Diag n8n presents that map in a product-specific UI.

That is the core product story: learn with n8n, then operate the growing workflow estate with structure.