product-spec-bulk-fetch

Solid

Fetch structured FF&E product specs from a list of URLs. Extracts name, brand, dimensions, materials, price, and images into a standardized schedule.

Testing & QA 165 stars 36 forks Updated 3 weeks ago MIT

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Quality Score: 89/100

Stars 20%
74
Recency 20%
90
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# /product-spec-bulk-fetch — Bulk Product Spec Fetcher Extract structured FF&E data from a list of product page URLs. Outputs a standardized schedule ready for design specs, procurement, or import into Canoa. ## Input The user provides product URLs in one of these ways: 1. **Inline list** — URLs pasted directly in the message (one per line, or comma-separated) 2. **File path** — A `.txt`, `.csv`, or `.md` file containing URLs (one per line) 3. **Google Sheet column** — A spreadsheet ID + column containing URLs to re-fetch If the input format is unclear, ask. ## Output Schema Products are written to the **master Google Sheet** — the same 33-column schema used by all product skills. When writing to CSV, use the same column order. Read `../../schema/product-schema.md` (relative to this SKILL.md) for the full column reference, field formats, and category vocabulary. Read `../../schema/sheet-conventions.md` for CRUD patterns with MCP tools. Skill-specific column values: - **AF (Status):** `saved` - **AG (Source):** `bulk-fetch` - **AD (Tags):** Blank (set by user later) - **AE (Notes):** Blank - **T (Selected Color/Finish):** Blank (unknown from URL) ## Extraction Process For each URL: 1. **Fetch the page** using WebFetch with the prompt below 2. **Parse the response** into the schema fields 3. **Flag issues** — missing price, missing dimensions, non-product page 4. **Continue to next URL** — never stop the batch on a single failure ### WebFetch Extraction Prompt Use...

Details

Author
AlpacaLabsLLC
Repository
AlpacaLabsLLC/skills-for-architects
Created
3 months ago
Last Updated
3 weeks ago
Language
HTML
License
MIT

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