# Import product data

> Turn product notes and lists into a structured FF&E schedule.

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## Start here

- [Install](https://architecturestudio.ai/capabilities/skill-product-data-import#capability-setup)
- [New to skills?](https://architecturestudio.ai/docs/agents)
- [All skills](https://architecturestudio.ai/capabilities?kind=skills)

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## What it does

Give Norma product notes, a table or a source schedule. Norma organizes the supplied facts into a reviewable schedule, preserves tags and unknowns, and calculates totals where quantities and prices are explicit.

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## Install

Connect Arch Studio in Claude or ChatGPT, then return to your conversation and ask Norma for the task. Your assistant uses its available file access and tools to carry out the skill.

- [Add to Claude](https://architecturestudio.ai/docs/install?host=claude&surface=app&method=mcp)
- [Add to ChatGPT](https://architecturestudio.ai/docs/install?host=chatgpt&surface=app&method=mcp)
- [Setup guide](https://architecturestudio.ai/docs/install)

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## Versions and source

Arch Studio 1.5.1.2 · MCP — Available as MCP workflow instructions in compatible Claude and ChatGPT connections. The assistant performs the work with its own tools and permissions and verifies the actual result before reporting completion.

Arch Studio 1.5.1.2 · Open source — Included in the public plugin for Claude Code and Codex. In this version: Import product data — Build a formatted FF&E schedule from notes, lists or CSV data, with optional library saving.

- [Hosted release details](https://architecturestudio.ai/releases/hosted-1-5-1-2-0692a162)
- [Read public source](https://github.com/AlpacaLabsLLC/skills-for-architects/blob/b85cba155ddbabe8e721fc79044e5a9ef4aa7540/skills/product-data-import/SKILL.md)
- [Public release details](https://architecturestudio.ai/releases/public-1-5-1-2)

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## Usage

Ask Norma in plain language. With Arch Studio connected through MCP, no $ or / command is required. Norma is your assistant working with Arch Studio.

```text
Use Arch Studio to turn this sample list into a schedule: CH-01, Example Chair, quantity 4, USD 250 each; TB-01, Example Table, quantity 1, price not supplied. Preserve the tags and leave missing specifications unknown.
```

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## What it organizes

### Product fields

Norma extracts names, brands, quantities, prices, dimensions and selected finishes from supplied or retrieved evidence.

### Tags and categories

Norma preserves supplied tags and maps supported categories. Missing tags are proposed for your review.

### Totals and gaps

Norma calculates supported extended prices and identifies incomplete totals when prices are missing.

### Saving choices

Norma can return the table without saving. Adopted schedules and reusable-library records each use their own saving method.

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## Workflow

1. **Read** — Norma reads the supplied product data.
2. **Structure** — Norma prepares the schedule and marks missing fields.
3. **Review** — You review the table and choose what should be adopted or saved.
4. **Save** — Norma carries the selected records to the appropriate skill and checks any authorized save.

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## Pairs with

Norma can clean inconsistent formatting in the imported product rows.

- [Clean product data](https://architecturestudio.ai/capabilities/skill-product-data-cleanup)

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## Related skills

Clean product data — Normalize messy product data into a consistent schedule.

Product library — Maintain adopted FF&E selections and schedule revisions.

Product Library — Keep reviewed product information in a reusable library.

- [Clean product data](https://architecturestudio.ai/capabilities/skill-product-data-cleanup)
- [Product library](https://architecturestudio.ai/capabilities/skill-master-schedule)
- [Product Library](https://architecturestudio.ai/capabilities/skill-product-library)