E-Commerce Search Relevance

E-Commerce Search Relevance is an SEO skill for Claude Code, published by asgard-ai-platform in skills.

228 stars28 forkson asgard-ai-platform/skillsAdded 2026/09/03Repository updated 2026/06/06

ai-agentanthropicclaudeclaude-agent-skillsclaude-codecoding-agentknowledge-basemcpmethodologyopen-sourceprompt-engineeringskillstaiwan

Install in seconds

Install E-Commerce Search Relevance

Copy E-Commerce Search Relevance into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/asgard-ai-platform/skills/tree/main/algo-ecom-search ~/.claude/skills/algo-ecom-search

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/asgard-ai-platform/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: algo-ecom-search/SKILL.md in asgard-ai-platform/skills
Installs to: ~/.claude/skills/algo-ecom-search
Collection: One of 25 skills cataloged from this repository
Category: SEO — 179 skills

What E-Commerce Search Relevance does

E-Commerce Search Relevance diagnoses and improves the full e-commerce search pipeline from query understanding to result presentation. Use it to reduce zero-result searches, add spell correction or synonyms, and troubleshoot relevance issues.

E-Commerce Search Relevance is cataloged under SEO on DirSkills. E-Commerce Search Relevance comes from a repository tagged ai-agent, anthropic, claude, claude-agent-skills and claude-code.

Documentation

README

Excerpt

E-Commerce Search Relevance

Overview

E-commerce search is a pipeline: query understanding → retrieval → ranking → presentation. Each stage affects relevance. Optimization requires diagnosing WHICH stage fails, not just tuning one component. Zero-result rate, click-through rate, and add-to-cart rate are key metrics.

When to Use

Trigger conditions:

Diagnosing why search results don't meet user expectations
Implementing query processing features (spell check, synonyms, intent detection)
Reducing zero-result searches and improving conversion

When NOT to use:

For ranking algorithm design only (use e-commerce ranking skill)
For text relevance scoring only (use BM25)

Algorithm

This is the opening of the README. Read the full README on GitHub.

Frequently asked about E-Commerce Search Relevance

What else does asgard-ai-platform publish alongside E-Commerce Search Relevance?
E-Commerce Search Relevance is one of 25 skills that DirSkills catalogs from asgard-ai-platform/skills, the repository it ships in. Its siblings there include ARIMA Time Series Model, Ad Bidding Strategies and Ad Budget Allocation. Each one is a separate skill with its own page in this directory, installs the same way E-Commerce Search Relevance does, and is maintained by asgard-ai-platform in that same repository. The rest of the collection is listed on the asgard-ai-platform/skills page.
How does E-Commerce Search Relevance compare to other SEO skills?
E-Commerce Search Relevance ranks #170 by stars among the 179 SEO skills in this catalog. The most-starred ones next to it are App Store Optimization, Answer Engine Optimization and SEO Analysis. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of E-Commerce Search Relevance against them. Open each page to compare what they document and how they install.