# Product_search_ranking_agent

> Product_search_ranking_agent — jingyi-luo-product-search-ranking-agent. Use this tool when you need to optimize product search results and provide transparent recommendations to users. It solves problems such as irrelevant search results and unavailable products by filtering and ranking matches based on relevance, ratings, and inventory. The agent takes in search queries and product catalogs as input and outputs a ranked list of recommended products.

Canonical page: https://skillsregistry.net/skills/jingyi-luo-product-search-ranking-agent  
JSON: https://api.skillsregistry.net/v1/skills/jingyi-luo-product-search-ranking-agent

## Description

A Product Search & Ranking Agent built with FastMCP delivers transparent product recommendations. It searches catalogs, filters unavailable items, and ranks matches by relevance, ratings, inventory, and campaign signals. Installable from PyPI with a bundled Codex skill.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Jingyi-Luo/Product_search_ranking_agent)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jingyi-luo-product-search-ranking-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jingyi-luo-product-search-ranking-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jingyi-luo-product-search-ranking-agent/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt