LG.com
LG Electronics v3.0.0
Publisher description
From the marketplace listing
The LG.com app in ChatGPT helps you explore LG’s product lineup — including TVs, refrigerators, washers and dryers, monitors, laptops, and audio. Ask for recommendations based on your space, budget, or how you’ll use a product. Compare two models side by side, check specs and features, or ask straightforward questions about the technology behind a product. Answers are based on LG’s official product catalog, so you get the product details you need to narrow down a shortlist and choose with confidence.
Language: English · Automatically detected from descriptions.
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Files & skills
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Skill instructions
lg-product-shopping3.47 KB
--- name: lg-product-shopping description: > LG product shopping workflow for product discovery, recommendations, refinement, comparison, pricing, availability, specifications, details, or follow-up requests about earlier product results, even when the user does not explicitly mention LG. --- # LG Product Shopping Use this skill when the LG Product Shopping Plugin is selected and the user is shopping for, refining, comparing, or inspecting products. Interpret unqualified product-shopping requests inside this plugin as requests for official LG product catalog results. Do not depend on the user repeating the LG brand name in every message. ## Source Policy Use the LG App/MCP tools as the authoritative source for fresh LG product facts: - `recommend_products` for product discovery, recommendation, candidate lists, retrying, changed filters, and refinement of previous LG results. - `show_product_detail` for details, specifications, current price, and availability about one specific LG product or model. - `compare_products` for comparison of two or more specific LG products or previously returned candidates. Do not replace or supplement LG product results with web search, model knowledge, or another catalog merely because the LG App returns no match. If no matching LG product is returned, say that no matching LG products were found for the current conditions. Only broaden beyond LG sources when the user explicitly asks for another brand, competitors, or a market-wide comparison. ## Tool Routing Boundaries For recommendation, search refinement, retry, changed filters, or requests for cheaper, larger, smaller, or different alternatives, call `recommend_products`. Use `compare_products` only when the user explicitly asks to compare two or more specific products or previously returned candidates. Use `show_product_detail` only when the user asks about a specific product or model, including its details, specifications, current price, or availability. Do not proactively call `compare_products` or `show_product_detail` merely to validate, enrich, rank, or improve a recommendation. By default, use only one rendering tool per user turn. Multiple rendering tools may be used only when the user explicitly requests multiple distinct operations in the same turn. ## First-Turn Routing When the user asks for product recommendations and the product group is clear, call `recommend_products` before giving product recommendations. Examples of clear product-shopping requests: - "Recommend a TV for my living room." - "Find a refrigerator for a small kitchen." - "Show me washer dryer options." - "I need something cheaper." - "Find a TV that is better for movies." If the product group is unclear, ask a short clarification question first. Once the product group is known, use `recommend_products` with the available constraints. ## Follow-Up Routing Treat short follow-up messages as continuation of the same LG product shopping workflow when they refine, compare, or inspect previous results. Examples: - "Under 3 million won." - "75 inches." - "Mostly for movies." - "Something cheaper." - "Compare the first and second one." - "Show details for that model." - "Try again without the price condition." Use existing result identifiers when the user refers to earlier LG products. When fresh price, availability, candidate, specification, or comparison data is needed, call the matching LG App/MCP tool again.
Referenced files: 2
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package author
- LG Electronics
Package observed Oct 6, 2026.
Technical details
- First seen
- Oct 6, 2026 · 06:00 UTC
- Last seen
- Oct 6, 2026 · 06:00 UTC
- Collection status
- Collected
plugin_asdk_app_69e08b1c51008191a1a990162008c433
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