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概要と使いどころ

Nexscope Ozon category product search: fetches the product list for a given Ozon category ID, returning category-level aggregates (total sales, total revenue, average price, average rating, seasonality) and per-product sales, price, rating, review count, brand, seller, and fulfillment method. Use for category selection analysis, category bestseller mining, category capacity and price band analysis, seasonality assessment. Trigger when the user mentions Ozon category products, Ozon category analysis, Ozon category selection, Ozon category bestsellers, Ozon category total sales, Ozon category average price, Ozon category search, Ozon category products, category best-sellers, category analysis. Also trigger when the intent is to view products and category-level summary data within an Ozon category, even without explicitly mentioning Nexscope.

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-ai/nexscope-ecommerce-skills912026年10月14日 更新

Queries patent citation data from Nexscope (Nexscope), including citation counts and citing patent details. Trigger when the user mentions patent cited by, citation analysis, patent influence, citation frequency, patent family citations, forward citations, which patents cite a given patent, patent citations, citation count, patent influence, citation analysis, Nexscope. Also trigger when the user needs to query a patent's citation count or which patents cite it, even without explicitly mentioning Nexscope or Nexscope.

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-ai/nexscope-ecommerce-skills912026年10月14日 更新

Map systemic forces shaping a wellbeing concern without individualising the problem. Uses Bronfenbrenner's ecological model and social determinants to generate structural interventions.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Build students' capacity to interrogate a historical source before reading — asking who authored it, when, why, and what this means for reliability. Use when students read documents without attending to authorship.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Create self-explanation prompts that deepen understanding of worked examples, texts, or diagrams. Use when students read material passively without engaging with underlying principles.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Design a learning sequence teaching prompt quality — comparing vague vs. refined prompts to show why specificity and context transform AI output. Use when students use AI without understanding why output quality varies.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Design a single-point rubric with one criterion and open columns for evidence. Use for student self-assessment, peer feedback, teacher formative feedback, or pre-task planning. Works with any learning target, with or without a band system.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Design a teacher think-aloud that models historical thinking strategies with a specific document. Use when planning explicit strategy instruction or when students follow a protocol without understanding the underlying reasoning.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Generate elaborative interrogation prompts that deepen encoding through targeted why and how questions. Use when students memorise without understanding or need deeper processing of content.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Build students' capacity to read historical documents closely — attending to word choice, tone, and rhetoric as evidence of perspective. Use when students summarise sources without analysing language.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Build students' capacity to place historical documents in their temporal and social context. Use when students read sources without considering what was happening at the time, or know the context but don't deploy it.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Generate a cascading hint sequence for a problem type, revealing progressively without giving answers. Use when designing tutoring dialogues or scaffolded worksheets.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Map control, influence, and concern after systems analysis. Use when students need wise agency without being made responsible for everything.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

When the user wants to find, qualify, and build a list of prospects to reach out to — across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find prospects," "find leads," "lead gen list," "find SaaS companies that," "find B2B companies," "find local businesses," "ICP-fit accounts," "who should we go after," "outbound list," "target account list," "find clients near me," "businesses without websites," "prospect research," or "qualified leads." Use this for the list-building and qualification phase. For writing the outbound copy after the list is built, see cold-email. For deep competitive research on specific accounts, see competitor-profiling.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset existing code.

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。

nota-america/forgecat-agent-profiles912026年9月24日 更新

Use when users request Android competitor research, systematic feature or interface mapping, evidence screenshots, interaction coverage, comparison-ready product dossiers, or Android system-boundary verification without APK decompilation.

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。

poll-poll134/android-blackbox-analysis-skill912026年9月2日 更新

Design, preview, implement, and assess mini-program interfaces against an approved prototype, screenshot, visual reference, design system, or bounded UI request while preserving product semantics and existing accepted behavior. Use when users ask to reproduce a mini-program screen, refine visual hierarchy, adapt layouts across device sizes, handle safe areas or keyboards, inspect touch targets, scrolling, media, or gesture conflicts, compare an implementation with a reference, or prepare a device-verification matrix. Separates proposed visual previews, user approval, source integration, local checks, and real-device evidence; never invents product functionality for visual completeness or claims device validation without device-specific proof.

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。

NocodeMrLi/mini-program-engineering-skill-suite902026年10月14日 更新

Perform a read-only, evidence-first intake of an existing mini-program repository before planning or modifying code. Use when users ask to take over, understand, audit, resume, scope, or continue a WeChat or other mini-program project; when project facts may conflict with historical documents; or when an agent needs the framework, rules, Git state, build path, risks, unknowns, protected behavior, and change boundary. Produces a project fact map and handoff without changing code, installing dependencies, building artifacts, or claiming runtime, device, cloud, upload, acceptance, or release status.

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。

NocodeMrLi/mini-program-engineering-skill-suite902026年10月14日 更新

ank-loop

無料

Work through the open tasks in .ank/ without supervision, one claim at a time. Use when asked to work the backlog, chain tasks, or run autonomously in a repository with a .ank/ directory.

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。

haksolot/ank902026年10月14日 更新

Generate Muted Zine Poster v0.1 poetic paper-poster prompts and the matching generated image. Use when the user gives a theme, sentence, object, mood, article idea, photo, or content brief and wants a quiet Japanese/Korean zine-like editorial poster with large negative space, aged paper texture, experimental typography, and a restrained muted palette without high-chroma color blocks. This is the low-saturation sibling of gc-minimal-zine-poster-v0-1.

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。

moonlin1213/muted-zine-poster-v01882026年7月22日 更新

Generate accurate, runnable quantitative strategy code for the JoinQuant (聚宽) platform. Use this skill when the user asks to write a stock/ETF/futures backtest, paper-trading, or live-trading strategy on JoinQuant — the skill provides progressive-disclosure access to the complete JoinQuant API knowledge base (14 categories, 294KB official docs), 5 production-ready strategy templates (single-stock MA, multi-factor, ETF rotation, momentum, mean-reversion), and a lint tool that catches hallucinated APIs, future-function violations, and unset price-mode/slippage/commission. Chinese-friendly. Code generated by this skill should paste directly into the JoinQuant online editor without modification.

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。

gaaiyun/joinquant-skill872026年10月12日 更新

Creates structured handoff briefings between agents. Use when delegating complex work to subagents that would otherwise lose context. Packages task context, constraints, and progress into a compact packet that subagents can consume without re-reading the full conversation. Prevents the 'lost context' problem in multi-agent delegation.

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。

Rune-kit/rune862026年8月16日 更新