pmdemps

Household Resale AI — Data skill for Claude Code

Data community

AI-powered resale management platform for inventory tracking, deal analysis, pricing, profit analytics, automated listings, and multi-agent AI orchestration across ChatGPT, Claude, Gemini, and other m.

How to install Household Resale AI

This entry records only its repository, not the path inside it, so there is no exact command to give. Open pmdemps/household-resale-ai and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Household Resale AI does

Alternatives in Data

Financial Services — Reference agents, skills, and data connectors for the financial-services workflows we see most — investment ba 34.5k ★
Arcgis To Portaljs — Migrate a whole ArcGIS Hub site (opendata.arcgis.com or a Hub Premium custom domain) into a PortalJS Arc porta 2.3k ★
Claude Deep Research Skill — Enterprise-grade deep research skill for Claude Code with 8-phase pipeline, source credibility scoring, and au 1k ★

README

Household Resale AI

Open-source AI-powered resale management platform for inventory tracking, deal analysis, pricing, profit analytics, listing generation, and multi-agent orchestration across OpenAI/ChatGPT, Anthropic Claude, Google Gemini, and future models.

Current status

**Early UI prototype.** The dashboard currently uses clearly labeled sample data and browser-memory-only demo entries. Authentication, persistent storage, live AI provider calls, marketplace integrations, and the background runner are not connected yet.

Product direction

Responsive dashboard for desktop and mobile
Inventory, purchase costs, listing status, sales, fees, and realized profit
Deal analysis with source links, comparable prices, risk notes, and target offer
AI-assisted listing titles, descriptions, and pricing
Provider-neutral adapters for OpenAI, Claude, Gemini, and future models
Background jobs with approval gates before consequential actions
Individual accounts, roles, audit history, and data export

Planned architecture

Web app: Next.js, React, TypeScript, Tailwind CSS
Database and authentication: Supabase / PostgreSQL with row-level security
AI providers: server-side adapters; keys never go in browser code
Background runner: separate worker/job system after core persistence and authentication
Deployment: web hosting plus managed database; provider to be selected

These are planned choices, not claims that services are already configured.

Run locally

Requirements: Node.js 20 or later and npm.

npm install
npm run dev

Open [http://localhost:3000](http://localhost:3000).

Copy `.env.example` to `.env.local` when integrations are introduced. Never commit real credentials.

Security rules

Never commit API keys, tokens, passwords, real .env files, private financial exports, or transaction records.
Keep AI provider calls on the server.
Use authenticated sessions and database row-level security bef