Cowork Home Inventory logo

Cowork Home Inventory

Organization
OneWave-AI
cowork-home-inventory

Build an insurance-grade home inventory from a folder of photos and receipts -- identifies items, pulls values from receipts, estimates replacement costs, organizes by room, and outputs the documentation an insurance claim actually requires. Update mode keeps it current after new purchases.

Overview

PublisherOneWave-AI
Repositoryclaude-skills
Skill namecowork-home-inventory
Stars
293
Forks
49
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by OneWave-AI on GitHub. Read the source before you install it.

Installation

Install the Cowork Home Inventory AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/OneWave-AI/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/cowork-home-inventory .claude/skills/cowork-home-inventory
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cowork Home Inventory in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cowork Home Inventory on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cowork Home Inventory is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Cowork Home Inventory

Build the document everyone wishes they had after the fire, flood, or break-in: a room-by-room inventory with values and proof. Input: a folder of photos (room shots, close-ups, serial-number shots) and receipts (PDF, email exports, images). Output: a structured inventory file plus a gap list of what still needs documenting.

Workflow

  1. Process the photos. Identify items in each image: what it is, brand/model when visible, condition, and the room (from filename, folder structure, or visual context). Read serial numbers and model plates from close-ups. Group multiple angles of the same item.
  2. Process the receipts. Extract item, vendor, date, and price from every receipt. Match receipts to photographed items where possible -- a matched receipt upgrades an item from "estimated" to "documented."
  3. Value the inventory. For receipt-matched items: purchase price and date. For unmatched items: estimated replacement cost (current retail for an equivalent, via web search for significant items), clearly labeled ESTIMATE. Never present an estimate as a documented value.
  4. Build the inventory. Output home-inventory.csv (or .xlsx via the xlsx skill) -- room, item, brand/model, serial, purchase date, purchase price, replacement estimate, documentation status, photo filename(s), receipt filename -- plus home-inventory-summary.md: totals by room and category, the high-value items list, and overall documented vs. estimated ratio.
  5. Gap list. What insurance will ask for that is missing: high-value items with no receipt (jewelry, electronics, instruments -- may need appraisals or serial-number photos), rooms with no coverage, items where only a wide shot exists. Rank by value at risk. Suggest the 20-minute photo walk that closes the worst gaps.

Rules

  • Documented and estimated values never blend: every line is labeled, and the summary reports both totals separately.
  • Never inflate. Replacement estimates use realistic current retail for equivalent items, not premium substitutes.
  • Serial numbers are gold: capture every legible one, and put items that should have one but don't on the gap list.
  • Do not catalog people, documents with financial account numbers, or anything in photos beyond the possessions themselves.
  • Note policy-relevant thresholds generically ("many policies sub-limit jewelry; confirm your rider") without interpreting the user's actual policy -- unless the policy document is in the folder, in which case cite its stated limits next to the relevant categories.
  • Keep the inventory file local and note in the summary that a copy belongs somewhere that survives the house (cloud drive, safe deposit).

Update Mode

Re-run on the same folder after adding new photos/receipts: append new items, update matched ones, preserve manual edits to the CSV, and report what changed. As a quarterly Cowork scheduled task, sweep the receipts/email-export folder and deliver the diff.

Quick Commands

  • "Inventory [folder]" -- full workflow
  • "What's undocumented?" -- step 5, the gap list
  • "Value check [item]" -- one replacement-cost lookup
  • "Update from new photos" -- update mode

Frequently asked questions

What does the Cowork Home Inventory AI skill do?

Build an insurance-grade home inventory from a folder of photos and receipts -- identifies items, pulls values from receipts, estimates replacement costs, organizes by room, and outputs the documentation an insurance claim actually requires. Update mode keeps it current after new purchases.

Why use Cowork Home Inventory on TypingMind?

Because you install it once and use it with any model. Cowork Home Inventory is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cowork Home Inventory in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OneWave-AI/claude-skills/tree/main/cowork-home-inventory. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cowork Home Inventory?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cowork Home Inventory?

As many as you like. As long as a model supports skills, you can use Cowork Home Inventory with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cowork Home Inventory AI skill free?

Yes. It is published on GitHub by OneWave-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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