Query Google Patents public search through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Query Google Patents public search through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
日本語の概要は準備中です。原文の説明を表示しています。
Query patent forward citation details from the Nexscope patent database. Triggered when users ask about patent citations, cited patents, cited references, patent references, forward citations, prior art citations, or want to see which patents and non-patent literature specific patents cited during the application process, patent cited references, forward citations, patent references, citation analysis, or Nexscope. When users provide a patent ID or publication number and need citation information, even if they do not explicitly say "forward citation," any request about which references a patent cited applies.
日本語の概要は準備中です。原文の説明を表示しています。
Query and analyze Google Trends real-time hot topics and trending searches for a specified time range and country/region. Triggered by: Google Trends, hot topics, real-time trending, popular trends, current hot searches, recent trending, viral topics, trending searches, trend discovery, market trends, what's popular, trending now, breakout topics.
日本語の概要は準備中です。原文の説明を表示しています。
Retrieves translated patent claims from the Nexscope (Nexscope) patent database. Trigger when the user asks about patent claims, claims translation, viewing claims in specific languages (Chinese, English, or Japanese), querying patent claims by patent ID or publication number, analyzing claim text, claim translation, patent claim translation, Nexscope, patent translation. Also trigger when the user needs patent claim content in a specific language, even without explicitly mentioning translated claims.
日本語の概要は準備中です。原文の説明を表示しています。
Nexscope Ozon Russia SKU full detail query for one product ID per call, returning price, discount, Ozon Card price, rating, review count, stock, sales, revenue, revenue potential/lost revenue, listing date, images, and the complete product card. Trigger for Ozon product or SKU detail, price/rating/sales/stock checks, competitor Ozon cards, Nexscope Ozon detail, or Russian marketplace product detail by a known SKU.
日本語の概要は準備中です。原文の説明を表示しています。
Query Etsy public listing details through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
日本語の概要は準備中です。原文の説明を表示しています。
Search and browse product listings across multiple eBay international sites. Trigger when user mentions eBay product search, eBay listing query, eBay price comparison, eBay market browsing, eBay sold items, eBay auction search, eBay product research, eBay products, eBay pricing, eBay competitors, eBay auctions, eBay market analysis — even if "eBay" is not explicitly mentioned, as long as the need involves searching products on eBay, comparing eBay prices, finding sold listings, or analyzing eBay market data.
日本語の概要は準備中です。原文の説明を表示しています。
Query 1688 public product details through the Nexscope research proxy. Use when the user requests this public marketplace or patent data; do not use for seller-console or store-authorized operations.
日本語の概要は準備中です。原文の説明を表示しています。
Query traffic keyword lists for an Amazon ASIN via Nexscope, including traffic source type, conversion type, organic rank, and ad rank with historical month and multi-dimensional sorting. Trigger when user mentions ASIN reverse traffic keywords, traffic keyword list, keyword traffic structure, organic/ad keyword analysis, keyword conversion type, Nexscope traffic keyword, Amazon traffic keywords, reverse ASIN keywords — even if "Nexscope" is not explicitly mentioned, as long as the need involves viewing keyword traffic sources and keyword lists for a specific ASIN.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes current state and user query to answer BMad questions or recommend the next skill(s) to use. Use when user asks for help, bmad help, what to do next, or what to start with in BMad.
日本語の概要は準備中です。原文の説明を表示しています。
Query the Semantic Scholar academic corpus through AI2's Asta MCP server: keyword or title search with venue and date filters, who-cited-a-paper traversal, author profiles and publications, DOI/arXiv/PMID lookup, and ~500-word full-text snippets for evidence, with citation counts and h-index. Use when the user asks for papers on a topic, who cited a paper, an author's work, recent literature since a date, or a venue-scoped paper list. Requires the Asta MCP server.
日本語の概要は準備中です。原文の説明を表示しています。
Query the BuildAI PostgreSQL database (read-only). Returns results as JSON for construction project data — projects, RFIs, submittals, budgets, change orders, daily logs, punch lists, insurance, vendors, pay applications.
日本語の概要は準備中です。原文の説明を表示しています。
Query Lore, the librarian agent, to search the owner's personal knowledge base. Use when looking up stored documents, personal records, insurance, manuals, notes, vehicles, or any "do I have a document about X?" type question.
日本語の概要は準備中です。原文の説明を表示しています。
Generates optimized read queries using Dapper. Includes multi-mapping for joins, pagination, dynamic filtering, CTEs, and best practices for high-performance data access.
日本語の概要は準備中です。原文の説明を表示しています。
Generates CQRS Queries with Handlers and Response DTOs for read operations. Uses Dapper for optimized read queries, bypassing the domain model for better performance.
日本語の概要は準備中です。原文の説明を表示しています。
Generates unit tests for command and query handlers using xUnit and NSubstitute. Implements Arrange-Act-Assert pattern with comprehensive test coverage for success and failure scenarios.
日本語の概要は準備中です。原文の説明を表示しています。
Bioactivity and small-molecule data-side catalog. Covers ChEMBL search/lookup, MolTrack compound and batch registration, HitTriage / HitDesign / PeptiHit workflows, and Curves dose-response analysis (IC50/EC50 fitting). Open this skill when the user asks about querying ChEMBL, registering or looking up compounds in MolTrack, running a hit-triage campaign, or fitting/inspecting dose-response curves.
日本語の概要は準備中です。原文の説明を表示しています。
Find opportunities to improve web application code using TanStack libraries (Query, Table, Form, Router, etc.). Avoid man-with-hammer syndrome by applying TanStack after vanilla implementation works.
日本語の概要は準備中です。原文の説明を表示しています。
Google Cloud Platform CLI - manage GCP resources. Use when working with Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, or other GCP services.
日本語の概要は準備中です。原文の説明を表示しています。
Manages a Zotero academic reference library through both the local API (localhost:23119, read-only) and the Web API (api.zotero.org, read-write), using a structured collection hierarchy (Inbox / Active Projects / Background / Reading Queue / Archive / Meta) plus project, status, priority, and type tags. Handles adding papers with full metadata, deduplication, attaching provenance notes, moving items between collections, updating tags after reading, listing the prioritized reading queue, and setting up the literature scaffold for a new project. Use when the user asks to add / save / file / organize a paper in Zotero, check / list / clean up the reading queue, move papers between collections, tag papers for a project, query their library ("what do I have on X?"), or set up Zotero for a new research project.
日本語の概要は準備中です。原文の説明を表示しています。
Searches and discovers academic papers across multiple sources (Semantic Scholar, arXiv, Tavily, Exa, Gemini deep research, AMiner, Google Scholar) with adaptive engine selection based on query type. Returns ranked, deduplicated results with metadata (authors, venue, year, citations, abstract, PDF link). Use when the user asks to find papers / literature / publications / preprints / references on a topic, search for related work, look up a specific paper by title or DOI or arXiv ID, find papers by an author, find recent SOTA / state-of-the-art work, survey a research area, or run a deep / comprehensive literature search with synthesis.
日本語の概要は準備中です。原文の説明を表示しています。
Yoga practice with an emphasis on alignment, props, and staged progression as the Iyengar lineage teaches it, alongside enough context about the broader lineage landscape (Krishnamacharya's three students, modern Hatha, Ashtanga vinyasa, restorative, Yin, and chair yoga) that a routing agent can place a user correctly before giving instruction. Covers asana families, alignment heuristics, prop use, sequencing, and the non-negotiable injury-prevention rules. Use for any query about yoga postures, home practice design, teacher-training-level questions, or whether a given pose is safe for a given body.
日本語の概要は準備中です。原文の説明を表示しています。
Martial arts as body discipline — the shared pedagogical structure across striking, grappling, and weapon arts (stance, distance, timing, ukemi, live partner work, graded ranking, and the ethical container the best schools enforce). Covers karate, judo, jiu-jitsu (Brazilian and traditional Japanese), aikido, kendo/kenjutsu, boxing, muay Thai, and wrestling at enough depth that an agent can place a user into a reasonable first-month practice and recognize the safety failures that matter most. Leans on Moshé Feldenkrais's judo background and Yang Jwing-Ming's martial scholarship for the internal-to-external bridge. Use for any query about beginning a martial art, training injury patterns, graded progression, or the ethics of combat training.
日本語の概要は準備中です。原文の説明を表示しています。
Comparative framing across contemplative and mind-body traditions — Sōtō Zen and Rinzai Zen, Theravada vipassana, Tibetan Vajrayana, classical yoga and its eight limbs, Daoist internal cultivation, secular MBSR and MBCT, engaged mindfulness as Thich Nhat Hanh teaches it, Christian contemplative prayer, Sufi dhikr, the Hesychast tradition of the Eastern Orthodox church — for the routing agent who has to understand where a user is already standing before recommending a practice. Covers the pedagogical voice of each tradition, the places they overlap, the places they genuinely disagree, and the non-sectarian framing the college department uses. Use when a user arrives with a prior tradition, when a query spans more than one tradition, or when the agent needs a vocabulary for what is shared and what is lineage-specific.
日本語の概要は準備中です。原文の説明を表示しています。