Results for “product”

Search Taobao and Tmall product listings by keyword, returning paginated product cards with title, price, shop, image, sales, and tags.

Fetch customer reviews for a Taobao or Tmall product by itemId, returning reviewer name, date, purchased variant, review text, and photo URLs.

Extracts structured product data from Amazon search results, including prices, ratings, sales estimates, and shipping info, using the BrowserAct API.

Extract structured product details from Amazon using an ASIN, including title, price, ratings, brand, and description via the BrowserAct API.

Extract structured best-selling product data from Amazon, including titles, prices, ratings, reviews, sales volume, and promotions, using the BrowserAct API.

Analyze product data and manage product tooling in PostHog. Use when the user wants product analytics or insights, HogQL/SQL queries, feature flags, experiments and A/B tests, error tracking, session replay, surveys, LLM analytics, dashboards, data warehouse, or PostHog documentation.

Reference for designing SKU naming conventions, product hierarchies, and inventory classification schemes.

Automate Jungle Scout operations for Amazon product research and keyword analysis through the Rube MCP interface.

Secure Django applications against common vulnerabilities with production-ready settings, authentication, authorization, and input validation.

Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness, returning a structured report with exact patch locations.

Search NHTSA vehicle recalls, FDA food/drug recalls, and CFPB consumer complaints via an MCP server for product safety monitoring.

Generate production-ready Python code using the Dataverse SDK with error handling, retry logic, OData optimization, and logging.

TikTok Shop e-commerce data assistant. Search products, find trending items, analyze influencers, explore shops, track video performance, and get ad insights via ecomseer.com. Triggers: 找商品, 搜商品, 爆品, 带货, TikTok电商, 达人分析, 视频带货, 店铺分析, 广告素材, 销量榜, 跨境电商, search products, find trending, TikTok Shop, influencer analysis, shop data, ad creatives, sales ranking, e-commerce analytics, product research.

Transforms A/B test and product experiment data into actionable readouts with hypothesis, metrics, interpretation, and decision.

Navigate a Taobao or Tmall shop's catalog page to extract paginated product listings including itemId, title, and image URL.

Extract paginated product listings from e-commerce category pages, search results, or keyword searches with filters like price, brand, rating, and stock status. Supports Amazon, eBay, Walmart, Shopify, WooCommerce, and Google Shopping.

Product analytics planning for Nick's apps. Use when deciding what to track, setting up events, defining funnels, or making sure a product launch can measure activation, retention, and conversion instead of guessing.

Extract Amazon product reviews by ASIN using the BrowserAct API, returning structured data including ratings, text, reviewer info, and verified purchase status.

Use when implementing SQL functionality with production-grade patterns and safeguards.

Use when implementing SQL functionality with production-grade patterns and safeguards.

Extracts Amazon product details, buy box owner, other sellers' prices, and seller ratings for a given ASIN using the BrowserAct API.

Apache Airflow, dbt, Prefect, Dagster, and modern data orchestration for production data pipelines

Supabase-first database schema design for Nick's app stack. Generate production-ready Postgres schemas, Supabase SQL migrations, RLS policies, TypeScript types, seed data, role-aware access patterns, and schema checklists from plain English requirements. Use when starting any new project database, designing or reviewing schemas, adding tables, planning migrations, or turning product requirements into Supabase-ready data models. Bias toward product-led schema design, MVP discipline, core-workflow-first modeling, and avoiding premature table/role sprawl.

Designs analytics architecture, plans events, defines KPIs, sets attribution boundaries, and reviews instrumentation across product and growth.

Analyze user behavior via the Heap API, including tracking events, adding user properties, and querying events.

Diagnoses Qdrant production issues using metrics and observability tools, covering optimizer problems, memory spikes, and slow queries.

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

For analysis/task/review agents using a Professional Skill on batch, stream, warehouse, lineage, replay, or data quality; not for transactions without distributed-data impact.

Perform efficient pandas DataFrame operations for data analysis, manipulation, and transformation with production-grade patterns.

Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.