retail-product-search
An AI agent skill from google/adk-recipes, scored 83 out of 100 by code and Verified.
Code score by group
It loses the most points in Spec (4), the group that checks whether the name and description follow the SKILL.md format and the file is not too long.
What the author says it does
Creates product search agents with semantic search and RAG on Google Cloud (Vector Search on Gemini Enterprise Agent Platform, BigQuery, embeddings). Use when the user wants to "build a product search agent", "create an e-commerce search", "make a shopping assistant", "set up semantic catalog discovery", "ingest products into Vector Search", or "deploy a retail RAG agent". Handles the full pipeline: catalog data ingestion to BigQuery, Gemini Enterprise Agent Platform Vector Search collection setup, ADK agent scaffolding, evaluation, and Cloud Run deployment.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- google/adk-recipes
- Folder
- plugins/retail/skills/product-search
- License
- Apache-2.0
- GitHub stars
- 10,611
- SKILL.md lines
- 272
- Other files
- 28
Add retail-product-search to your agent
npx skills add google/adk-recipes --skill retail-product-search
The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
Labelled for
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All skills in google/adk-recipes
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.