Ty 0198ab6881 Implement install stages S3–S5: package, policy, and skills sync.
Attach/onboard sandbox from agents/hermes, additive OpenShell policy overlays, and nemohermes skill install for scaffold skills. No doctor/connect and no push.
2026-07-27 12:13:25 -07:00

Salon_Assistant (Lumina)

Docker-based NemoClaw + Hermes personal ops assistant for a salon/spa owner-operator.

This directory is the product seed for the Gitea repository Ty_Tech/Salon_Assistant.

Status

Artifact Location
Design plan (SSOT) design/DESIGN_PLAN.md
Use cases (SSOT) design/use-cases.md
Scenarios design/scenarios.md
Resolved decisions design/DECISIONS.md
Operator runbooks docs/
Implementation Not started until explicit build / implement

Product planes

Plane Role
Scheduling Owner Vagaro and/or Square
Books Owner QuickBooks Online (read-heavy)
Owner messaging WhatsApp, Email, Telegram
Client / social drafts Draft only; owner sends/posts
Social craft Owner photos/video + vision aux
Setup / ops Install, connect SaaS, automatic updates (on by default)

Doc placement

Folder Purpose
design/ Product design SSOT — plan, use cases, scenarios, decisions, MCP strategy, update lifecycle
docs/ Operator/user manuals — install, upgrade, providers, ops

Platform-first rule

All sandbox, policy, credential, channel, and inference mutations go through nemohermes / openshell. Product scripts (when built) wrap those CLIs. No parallel control API.

Layout (scaffolds)

Code under skills/, scripts/, services/, policy/, etc. is scaffold only until build. See each areas README.md.

Remote

  • Gitea: Ty_Tech/Salon_Assistant (public)
  • Git MCP for this product: gitea_vps only
  • Agents: mandatory execution loop, local-worker split (Grok orchestrates; Primary Subagent / primary-subagent on :8083 does product work), and Git hygiene in AGENTS.md (also CLAUDE.md, .grok/rules/*). Agents must follow the rails without the user restating process. See CONTRIBUTING.md for branch/PR conventions.
S
Description
Lumina — salon/spa NemoClaw Hermes assistant (design + product)
Readme 474 KiB
Languages
Python 50.9%
Shell 47.1%
Makefile 2%