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Scans public GitHub repos for skills, practices, and code patterns. Use when studying how open-source teams configure monorepo CI and PR review, or enriching skills.

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。

Builds repeatable deep-research workflows for verified synthesis. Use when producing evidence-backed briefs, comparisons, dossiers, or research pipelines.

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。

帮助用户读懂材料、研究主题、解释概念、把知识用于真实问题，并直接写成文章；也能把字幕和自动转写稿整理成忠实、可读的文章式全文并写入私人知识库，在用户明确要求时再讲解材料或提炼知识，接入视频和社交来源，筛选分享内容，根据发布反馈继续选题和改进内容，以及初始化、检查和维护本机私人知识库、内容案例、钩子与写作记忆。适用于字幕整稿、划重点、系统学习、分轮处理长材料、内容审查、文章写作和知识沉淀；不负责短内容生成、媒体制作、普通翻译、广告投放、销售页、邮件营销、品牌全案、完整营销策略和实际发布。

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。

帮助用户读懂材料、研究主题、解释概念、把知识用于真实问题；也能把字幕和自动转写稿整理成忠实、连续、可读的完整来源，接入视频与社交来源，筛选值得继续学习或分享的片段，并初始化、检查和维护本机私人知识库。适用于材料讲解、概念拆解、研究核查、系统学习、实践应用、字幕整稿、知识沉淀与知识库维护；不负责文章或其它内容创作、改写润色、写作审查、选题运营、案例钩子、写作记忆和发布复盘。

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。

Deep research on a topic — use when investigating unfamiliar domains, answering complex questions requiring multiple sources, or when an evaluation flags something for deeper analysis

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。

This skill should be used when the user asks to "write a LinkedIn message", "draft a connection request", "help me reach out to someone on LinkedIn", "write an InMail", "message this person", or when the prospect-researcher skill identifies a high-value contact worth reaching out to. Also triggered by "how should I approach [person/company]" in a LinkedIn context.

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。

Evidence-driven web and open-source research for questions that require multiple sources, factual verification, comparisons, or an adopt/adapt/build decision. Use for substantial research in foreground sessions, the genesis-researcher subagent, and research-profile background sessions. Skip for a single stable fact or a known URL that only needs fetching.

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。

This skill should be used when the user asks to "research this company", "look into this person", "find the best angle for reaching out to", "who should I contact at [company]", "what does [company] care about", or when preparing outreach to a specific target. Also triggered by "help me prepare for an interview with [company]" or "I want to apply to [company]". Combines lead-generation intelligence with LinkedIn-specific approach planning.

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。

Grounds version-sensitive engineering decisions in authoritative current sources by detecting the installed stack, retrieving official documentation or source, reconciling conflicts, and recording citations and confidence. Use for framework APIs, dependency behavior, standards, compatibility, migrations, or technical recommendations that may have changed. Not for stable project-local logic or broad product discovery.

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。

Multi-model agent orchestration using specialized agents for planning, coding, research, math/science, visual analysis, and adversarial review. Use when tasks are complex enough to benefit from different models' strengths, when you want adversarial review to catch blind spots, or when coordinating multi-step workflows across agent roles. Triggers on complex projects, multi-step tasks, architecture decisions, or when explicitly requested.

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。

Use this skill when the user wants intellectual understanding — learning how or why something works, not getting a task done or soliciting Claude's judgment. Trigger for: - Explicit learning requests: teach, explain, ELI5, walk me through, quiz me, flashcards, "I'm rusty on"; definitions ("what is X") - Terse concept names implying "help me understand this": "Galois theory," "transformers, from scratch" - Confusion signals: "won't stick," "keep mixing these up," "not getting it" - Learning-path questions: prerequisites, sequencing, what to study before X - Conceptual questions about mechanisms, causes, or dynamics Don't trigger for: - Tasks: coding, writing, calculation, translation, factual lookup, news updates - Personal troubleshooting; resource/textbook recommendations - Claude's evaluative verdict: opinion prompts ("do you think X", "settle this", "honest take", "is X dead / still taken seriously") and interpretive takes ("was X really as harsh as people say")

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。

Handle small bureaucratic tasks — jury duty responses, parking tickets, passport renewals, DMV forms, permit applications, and other government or administrative paperwork.

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。

Learns how the user writes from their own sent messages and docs, and builds a voice profile so future drafts sound like them instead of generic AI. The profile is saved as the my-writing-style skill. Use when the user asks to set up, learn, or capture their writing voice, or complains that drafts sound generic or unlike them and no my-writing-style profile exists. Only for drafting text the user will send as themselves, not for Claude's own replies.

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。

Use this skill when the user's prompt requires (1) researching a topic across multiple sources, comparing options or alternatives, analyzing trends or history, understanding markets or industries, or reviewing literature or studies and (2) synthesizing that research into a comprehensive, narrative report. If you're planning to search the web or internal knowledge bases, consider using this skill. This skill coordinates research subagents, so use it only when you have a tool for spawning subagents (the Agent or Task tool); otherwise, research the question directly.

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。

Help plan an event — from a birthday dinner to a wedding. Scales to the size of the occasion. Handles venue research, guest lists, timelines, vendors, and budgets.

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。

Use when an agent or user is unfamiliar with a PlainTab module, needs a higher-level map of related files and callers, or asks how a section fits into startup, wallpaper, settings, search, command palette, storage, or i18n flows.

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。

Claude adapter for diagnosing PlainTab bugs, broken flows, startup issues, storage or wallpaper regressions, and performance regressions.

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。

Use before changing PlainTab persistent storage, including localStorage keys, IndexedDB keys or record formats, `LS_VERSION`, `DB_VERSION`, `ptab_schema_version`, migration code, backup/import/export storage shape, wallpaper cache cleanup, or any task that may affect old users upgrading across versions.

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 brand drill-down product list. Returns all products under an Ozon brand display name (Russian/Latin) with complete metrics: sales, revenue, price, rating, stock, turnover, lost revenue, supporting multi-dimensional numeric filters, sorting, and currency conversion. Use for brand benchmarking, competitor analysis, brand product structure research, SKU-level bestseller analysis. Trigger when the user mentions Ozon brand drill-down, Ozon brand products, Ozon competitor brand analysis, brand structure, brand SKUs, brand bestsellers, Ozon brand sales, Nexscope brand, Ozon brand products, brand drill-down, brand competitor analysis, Russian marketplace brand SKUs, brand revenue share. Also trigger when the intent is to view all products and their sales/price/rating performance under an Ozon brand, 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。

Analyze public Temu category opportunities and keyword demand through 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。

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。

Route Amazon product-selection work across market, keyword, competitor, trend, review, and profitability capabilities. Use this skill when the user asks for this exact ecommerce workflow, analysis, data lookup, or deliverable.

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。

Use Nexscope market list capability to filter Amazon niche markets by category dimensions, supporting market size, competition, top concentration, seller structure, new product share, price/rating/margin ranges, and many other criteria for discovering viable markets and evaluating product selection directions. Trigger when the user mentions Amazon market research, niche category research, market opportunity screening, market concentration analysis, new product opportunities, market selection, Nexscope market research, category market research. Even if the user does not explicitly mention "Nexscope", if the need is to screen and evaluate Amazon markets by category dimensions, this skill should also be triggered.

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。

Fetch and analyze Amazon product reviews by ASIN, supporting 15 marketplaces (including US) with star rating filtering. Triggered when users mention Amazon reviews, US reviews, product reviews, buyer complaints, negative reviews, positive reviews, star ratings, review analysis, review sentiment, product improvement suggestions, Vine reviews, verified purchase reviews, competitor review research, Amazon reviews, US reviews, Amazon.com reviews, product feedback, negative review analysis, positive review analysis, star rating filter, review sentiment analysis, product improvement insights, Vine reviews, competitor reviews, customer feedback. Even if users do not explicitly say "reviews", this skill should be triggered whenever the task involves reading, filtering, or analyzing Amazon product customer reviews.

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。