Let’s lock in the operating system of the org now—names, labels, branches, conventions—so everything you build inside this GitHub universe feels like one coherent machine.

I’ll keep it tight and decisive.

1. Org‑wide naming conventions

Repos:

• Core pattern:• frontend-app
• frontend-docs
• backend-automation
• data-hub
• issues-db
• ai-workflows
• devops-pipeline
• org-templates

Branches:

• main → always deployable, production truth
• dev → integration branch (optional, if you want)
• Feature branches:• feat/- → feat/ui-new-dashboard

• Fix branches:• fix/- → fix/api-issue-sync

Tags/Releases:

• Semantic versioning: v1.0.0, v1.1.0, etc.
• Only tag from main.

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2. Labels as the “taxonomy” of the system

Use the same label set across frontend-app, backend-automation, data-hub, issues-db, etc.

Core labels:

• Type:• type:bug
• type:feature
• type:task
• type:chore
• type:doc

• Priority:• priority:high
• priority:medium
• priority:low

• Status:• status:backlog
• status:in-progress
• status:blocked
• status:ready

• Area (custom to your system):• area:frontend
• area:backend
• area:data
• area:ai
• area:infra

In issues-db, labels double as record types:

• record:user
• record:job
• record:task
• record:event

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3. Branch protection and flow

Apply this to all code repos: frontend-app, frontend-docs, backend-automation, ai-workflows, devops-pipeline.

Branch protection for main:

• Require PRs
• Require status checks to pass (CI from devops-pipeline)
• Require at least 1 approval (if you’re in a team; if solo, you can skip)

Flow:

1. Create branch: feat/backend-issue-sync
2. Commit, push.
3. Open PR → CI runs via reusable workflow.
4. Merge to main → triggers deploy / automation.

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4. Standard PR template (org‑wide)

Create .github/pull_request_template.md in org-templates and copy to all repos:

## Summary

– What does this change do?

## Type

– [ ] Feature
– [ ] Bugfix
– [ ] Chore
– [ ] Docs

## Testing

– [ ] `npm test`
– [ ] `npm run lint`
– [ ] Manual verification

## Linked Issues

– Closes #123

This keeps every change structured.

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5. Issue templates (especially for `issues-db`)

In issues-db, define issue templates so records are structured.

.github/ISSUE_TEMPLATE/user-record.yml:

name: User Record
description: Create or update a user record
title: “user: ”
labels: [“record:user”, “status:backlog”]
body:
– type: input
id: user-id
attributes:
label: User ID
placeholder: “uuid or handle”
validations:
required: true
– type: input
id: email
attributes:
label: Email
placeholder: “user@example.com”
validations:
required: true
– type: textarea
id: meta
attributes:
label: Meta (JSON or notes)
placeholder: “{ \”plan\”: \”pro\”, \”source\”: \”referral\” }”

You can mirror this for task, job, etc.

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6. Cross‑repo conventions

Commits:

Use a simple, consistent style:

• feat: add issue sync to data-hub
• fix: handle missing user meta
• chore: update workflows
• docs: add architecture overview

Folders:

• In code repos: src/, scripts/, .github/workflows/
• In data repos: data/, schemas/, docs/

Docs:

• Each repo has:• README.md → what this repo is
• docs/ (optional) → deeper details

• frontend-docs links to each repo’s README as “module docs”.

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7. Org‑level README (the map of the universe)

In the org root (or in a repo like max-github-system-architecture if you want), create a master README that explains the whole system:

# Max GitHub System

This organization is a fully GitHub-native platform. No external infra.

## Repos

– `frontend-app` — Public UI (GitHub Pages)
– `frontend-docs` — Documentation site
– `backend-automation` — Event-driven logic via GitHub Actions – `data-hub` — Structured JSON/YAML data
– `issues-db` — Dynamic records stored as Issues
– `ai-workflows` — AI-powered automation
– `devops-pipeline` — Shared CI/CD workflows
– `org-templates` — Templates for new modules

## Flows

– Issues in `issues-db` → processed by `backend-automation` → mirrored to `data-hub`. – `frontend-app` reads JSON from `data-hub` (static or at build time). – `ai-workflows` summarizes and enriches data, writing back to `data-hub`. – `devops-pipeline` provides reusable CI for all code repos.

This becomes the single source of truth for how everything fits.

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8. Natural next layer

From here, the next logical moves are:

• Wire frontend-app to actually consume JSON from data-hub (e.g., build‑time fetch).
• Add one real record type to issues-db (e.g., record:task) and complete the loop:• Create issue → automation → JSON in data-hub → visible in frontend-app.

If you want, I can now define that end‑to‑end loop in concrete terms:
one record type, one UI view, one automation path—so you have a fully working “hello world” of the entire architecture.