Introduction

Developers engaged in product selection for Mercado Libre typically face two types of challenges: First, data fragmentation—products, categories, keywords, pricing, competitors, and exchange rates are scattered across multiple backends and third-party sites, making manual aggregation time-consuming. Second, multiple sites—Mexico, Brazil, Argentina, Chile, and Colombia each have their own site-specific standards, meaning the same metric is often retrieved differently across sites. The Skill introduced below aggregates this data through a unified entry point, allowing product selection analysis scripts to call it directly.

What is this

The Lanjing Product Selection Assistant (蓝鲸选品助手) is an official SPN-certified data product selection and operation analysis Skill launched by Shenzhen Lingdong Times Technology Co., Ltd. (https://www.lingdongsz.com/), and is published and maintained by “Lanjing BI” on SkillHub. The current version is 1.0.4, with a source type of enterprise and a classification of business-ops.

Its positioning is: to call the Lanjing Product Selection API within an Agent, combined with local scripts, to provide one-stop access to multi-dimensional data such as Mercado Libre products, categories, keywords, pricing, competitor dynamics, stores, brands, catalog links, shipping fees, and exchange rates. It covers five sites: Mexico, Brazil, Argentina, Chile, and Colombia.

Core Functions

According to the official description, this Skill provides data acquisition and analysis capabilities, which can be categorized as follows:

  1. Product and Category Data: Product details and category structures, used to define the product selection scope.
  2. Keyword Data: Used for demand-side judgment, combined with category filtering to narrow down candidate products.
  3. Pricing and Competitor Dynamics: Used for price band analysis and competitor tracking.
  4. Store and Brand Data: Used to lock in the supply side and track the sale status of specific stores and brands.
  5. Catalog Links, Shipping, Exchange Rates: These are dimensions easily overlooked in cross-border product selection; shipping affects landed costs, and exchange rates affect pricing conversions.

It is important to note: This is a data acquisition layer capability and does not include automatic generation of product selection conclusions. Product selection judgments must still be completed by the user’s scripts and business rules.

Installation and Activation

The captured materials only provide the official address and metadata, without installation commands or configuration fields. According to the coordinates given on the SkillHub page, the resource is located at:

https://api.skillhub.cn/org-mpf60tmc/ljxp
SkillHub Page: https://www.skillhub.cn/skills/org-mpf60tmc/ljxp
Coordinates: @org-mpf60tmc/ljxp

The metadata includes a tag requires_api_key=true, indicating that this Skill requires an API Key to be activated. Specific installation commands (such as integration methods for Cursor / Codex CLI / Claude Code) and the configuration field name for the Key are not provided in the captured materials, and this article will not speculate on them. To obtain the accurate commands, it is recommended to open the SkillHub page above and follow the steps listed on the page.

Typical Usage

The captured materials do not provide official reproducible call examples, offering only a capability description: “Supports calling Lanjing Product Selection API combined with local scripts.” Therefore, specific call code is not written here to avoid fabricating interface names and parameters.

The general workflow inferred from the capability description is:

  1. Prepare the API Key locally first and complete the configuration according to the official page instructions.
  2. Call the Lanjing Product Selection API via the Skill, specifying the site (Mexico / Brazil / Argentina / Chile / Colombia) and the required dimensions.
  3. Hand over the returned data to local scripts for filtering, aggregation, pricing, and exchange rate conversion.
  4. Output product selection candidates according to business rules.

Steps 3 and 4 are the user’s own script logic; the Skill provides the data source for step 2.

Applicable Scenarios and Notes

Suitable for: Developers doing Mercado Libre cross-border product selection who need to pull multi-site data into an automated workflow, especially teams already using Agents to carry the product selection analysis pipeline.

Points to note:

  1. Site coverage includes Mexico, Brazil, Argentina, Chile, and Colombia; other Mercado Libre sites are not included.
  2. It includes many data dimensions but does not include product selection conclusions; you need to write your own business rules.
  3. It requires an API Key (metadata tag requires_api_key=true) and is published as an enterprise source. Before integration, confirm the application method and quota for the Key.
  4. There is an inconsistency between the captured data and the task clues: the data page shows a rating of 100000 and 1193 downloads, while the task clue gives a rating of 99742 and 1161 downloads. Such values change as the page updates; it is recommended to return to the page to confirm the current values before citing them.

Conclusion

The value of the Lanjing Product Selection Assistant lies in aggregating product selection data from five Mercado Libre sites into a single Skill, saving the workload of scattered scraping while including shipping and exchange rates—dimensions often missing in cross-border scenarios. It provides data acquisition capabilities, but product selection judgments still rely on rules written by the user. Official Address: https://api.skillhub.cn/org-mpf60tmc/ljxp