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Search Amazon (any storefront TLD) for products matching a keyword, full search URL, ASIN list, or category-browse intent, with full filter-rail coverage (department, brand, rating, price, Prime, delivery speed, deals, condition, seller, apparel attrs, niche filters, sort, pagination). Returns structured per-product JSON with ASIN, title, brand, image, prices, rating, badges, and canonical /dp URL.

Search Airbnb for short-term rental listings in a given location and date window — supporting the full filter surface (dates, guests, price, place + property type, bedrooms / beds / baths, amenities, booking options, accessibility, host language, the top-of-page category rail, and map bounding box) — and return each matching property as structured JSON via the SSR StaysSearch GraphQL blob embedded in the page. Read-only.

Search Amazon.in by keyword and return structured product listings — ASIN, title, current price (INR), MRP, rating, review count, canonical URL, sponsored flag, and free-delivery flag — from the first search-results page.

Search the AgentPowers marketplace for skills, agents (subagents), and plugins by keyword, type, and category — returning slug, title, description, type, price, security status, install/download counts, rating, author, and source (native vs. external like ClawHub).

Search algolia.com/doc for documentation pages matching a free-text query and return ranked hits with section hierarchy, snippets, and direct anchor URLs — via the public hosted DocSearch API, with a per-page markdown fallback.

Use this skill to search the web without a full browser session, returning structured results with URLs, titles, and metadata.

Fast, AI-powered codebase search using WarpGrep. 20x faster than traditional grep.

When searching code, use this decision tree:

Search across all major biomedical databases (PubMed, bioRxiv, medRxiv, ClinicalTrials.gov, FDA drug labels) simultaneously using natural language queries powered by Valyu's semantic search API.

mgrep is a semantic search tool that enables natural language queries across code, text, PDFs, and images. It is particularly effective for exploring larger or complex codebases where traditional pattern matching falls short.