「search」の検索結果

Coach structured brainstorming sessions on any topic: diverge on ideas together, then converge on priorities and next steps in a session document. Use whenever the user wants ideas or wants to think out loud, in any language ("brainstorm with me", "give me ideas for…", "help me come up with…", "let's explore options for…", "I'm stuck on the name / the features"; Vietnamese "brainstorm cùng tôi", "cho tôi ý tưởng", "nghĩ cùng tôi xem"), even when they never say "brainstorm". Also use when the user wants multiple perspectives or a devil's-advocate pass on their ideas ("give me different angles", "phản biện mấy ý tưởng này", "party mode"). Not for diagnosing why something is failing (problem-solver), user research (design-thinking), or company-level strategic bets (strategy-board).

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。

把缠论分析变成先定级别、再认结构、先写失效点的可执行研究流程。Use for A-share, HK-stock, ETF, index, or futures analysis with 中枢、分型、笔、线段、背驰、区间套、三类买卖点 and multi-level recursion, or for converting Chan theory into reproducible backtest rules. Research and study only; never issue stock tips or promise returns.

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。

Transforms Claude into a CFA-level financial analyst for specialty finance, regulatory compliance, and industry-specific analysis. Use when performing private credit pricing, insurance reserving, FP&A variance analysis, wealth planning, restructuring recovery analysis, real estate valuation, venture capital analysis, ESG assessment, regulatory capital analysis (Basel III), compliance reporting (MiFID II, GIPS), credit derivatives (CDS, CVA), convertible bond analysis, lease accounting (ASC 842/IFRS 16), pension funding/LDI, sovereign risk assessment, real option valuation, equity research (SOTP, target price), commodity spread trading, treasury operations, PPP infrastructure modelling, onshore fund structuring, offshore fund structuring, transfer pricing analysis (BEPS, Pillar Two), tax treaty optimisation, FATCA/CRS compliance, economic substance analysis, regulatory reporting (AIFMD, Form PF), AML/KYC compliance, crypto/DeFi analysis, municipal bond analysis, structured products, trade finance, fund of funds (J-curve, commitment pacing, manager selection, secondaries), bank analytics (NIM, CAMELS, CECL, deposit beta, loan book), carbon markets (credit pricing, ETS, CBAM, offsets, shadow carbon price), or private wealth (concentrated stock, philanthropic vehicles, wealth transfer, direct indexing, family governance) analysis is required. Pairs with corp-finance-mcp tools for computation.

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。

Financial services advisory skill for consulting engagements. Use when preparing research briefs on banking, insurance, capital markets, or wealth management, building performance benchmarking frameworks, regulatory impact assessments, or stakeholder materials for CFOs, CROs, and technology leaders.

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 the corp-finance-mcp server tools for specialty finance, regulatory, and compliance calculations. Invoke when performing private credit (unitranche, direct lending, syndication), insurance (loss reserving, premium pricing, Solvency II SCR), FP&A (variance analysis, break-even, working capital, rolling forecast), wealth management (retirement planning, tax-loss harvesting, estate planning), restructuring (recovery analysis, distressed debt), real assets (property valuation, project finance), venture capital (dilution, convertible instruments, fund returns), ESG (scoring, climate/carbon, green bonds, SLL), regulatory capital (Basel III, LCR/NSFR, ALM), compliance (MiFID II best execution, GIPS reporting), credit derivatives (CDS pricing, CVA/DVA), convertible bonds (binomial tree pricing, scenario analysis), lease accounting (ASC 842/IFRS 16, sale-leaseback), pension & LDI (funding analysis, liability-driven investing), sovereign risk (bond analysis, country risk), real options (binomial valuation, decision trees), equity research (SOTP, target price), commodity trading (spread analysis, storage economics), treasury management (cash management, hedge effectiveness), infrastructure finance (PPP models, concession valuation), crypto (token valuation, DeFi analysis), municipal bonds (pricing, credit analysis), structured products (notes, exotic), trade finance (LC, supply chain), fund structuring (US onshore, UK/EU, Cayman/BVI offshore, Luxembourg/Ireland), transfer pricing (BEPS/Pillar Two, intercompany pricing), tax treaty (treaty network optimization, holding structures), FATCA/CRS (reporting, entity classification), economic substance (multi-jurisdiction testing), regulatory reporting (AIFMD Annex IV, SEC Form PF, CFTC CPO-PQR), AML compliance (KYC risk scoring, sanctions screening), fund of funds (J-curve, commitment pacing, manager selection, secondaries pricing), bank analytics (NIM analysis, CAMELS rating, CECL provisioning, deposit beta, loan book), carbon markets (credit pricing, ETS compliance, CBAM, offset valuation, shadow carbon price), private wealth (concentrated stock, philanthropic vehicles, wealth transfer, direct indexing, family governance). All computation uses 128-bit decimal precision.

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。

Verifies provider credentials via NPI MCP, searches Medicare coverage policies via CMS Coverage MCP, and maps clinical evidence to policy criteria with MET/NOT_MET/INSUFFICIENT assessment, per-criterion confidence scoring, and documentation gap 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。

Personal document management skill using Paperless-ngx. Use when: (1) Ingesting and filing new documents, (2) Searching for existing documents, (3) Applying tags and correspondents, (4) Managing retention policies, (5) Integrating documents with other personal workflows (tax prep, medical records, insurance claims). Tools: paperless-mcp for all document 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。

Generate a state document (context transfer) that allows any fresh AI instance to resume work without conversation history. Use this skill whenever the user asks to checkpoint, create a state transfer, save state, generate a handoff document, create compaction insurance, or says anything like 'snapshot this', 'create a context transfer', 'checkpoint', 'save state for handoff', 'write a recovery doc', or 'transfer context'. Also trigger when the user mentions compaction concerns, session handoff, multi-session continuity, or wants to preserve the current conversation's state. Works for any conversation type: projects, research, debugging, investigations, design sessions, or long-running chats. This skill produces a structured markdown document optimized for AI cold-start recovery, not human notes.

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。

Verify claims, quotes, timelines, and findings against supplied source files and return a source map with verified, conflicting, not found, and manual-review statuses. Use when the user asks to fact-check a memo, audit, timeline, executive summary, research packet, or project brief against PDFs, XML, HTML, notes, screenshots, exported chat logs, or other supplied files before sending, publishing, or relying on the result.

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 and compare car rentals — sedans, SUVs, and luxury vehicles with insurance options, pickup locations, and best rates for self-driving adventures. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group).

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。

Use when looking up library documentation, API references, framework patterns, or code examples for ANY library (React, Next.js, Vue, Django, Laravel, etc.) and the Context7 MCP server is unavailable or not configured. Fetches the same current docs directly via the Context7 REST API as a fallback. Triggers on: how to use library, API docs, framework pattern, import usage, library example.

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。

Synthetic stakeholder panel — build a mixed panel of grounded personas, run independent and cross-reaction rounds against a launch, pricing change, PRD, or message, and return ranked objections and messages to test. Use when asked to "simulate how users will react", "test this launch with a synthetic panel", "focus group this", "how will people react to this pricing change", or "pressure-test this message".

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。

Product landscape reconnaissance — survey existing briefs, research, strategy, and team output before writing new briefs or dispatching specialists. Use when asked to "understand the product state", "what briefs exist", "what has the team produced", "orient me on this product", or before starting a new product initiative.

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。

Write a blog post or article — research the keyword, draft the post, and produce publish-ready content with SEO optimization. Use when asked to "write a blog post", "write about [topic]", "draft an article", or "write a tutorial".

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。

Content brief generator — takes a topic or keyword and produces a complete content brief with target keyword, search intent, recommended structure, internal link targets, word count, CTA, and competitive gap analysis. Use when asked to "write a content brief", "brief this blog post", "plan this article", or "what should we cover for [keyword]".

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。

Topic cluster and keyword-to-page mapping — group keywords by search intent (validated by SERP overlap, not word similarity), map each cluster to an existing or proposed page, flag cannibalization, and lay out pillar, supporting posts, and internal links. Use when asked to "build a content cluster", "map our SEO cluster for [topic]", "which page should target these keywords", "create a topic cluster", or "what should our pillar page be about".

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。

Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".

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。

User segmentation and persona creation from mixed data sources — analytics, CRM, support tickets, reviews, or any combination. Use when asked to "build personas", "who are our users", "segment our users", "create user profiles", "define user archetypes", or "who is the target user".

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。

Run a user interview — produce an interview guide and synthesize the output into an actionable insight report. Use when asked to "run a user interview", "synthesize these interview notes", "what do users actually want", "build a persona from this feedback", "find the JTBD in these transcripts", or "analyze this interview 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。

Jobs-to-Be-Done analysis — given a product, user descriptions, transcripts, or tickets, produce a JTBD job map with switching forces analysis and opportunity ranking. Use when asked to "find the JTBD", "what jobs are users hiring us for", "job mapping", "what are users really trying to do", "JTBD framework", or "why are users switching".

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。

Jurisdiction comparison for a legal requirement or contract clause. Use when asked "how does this differ by jurisdiction", "compare GDPR and CCPA on this", or "run a state law comparison".

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。

Expert guide for scaling test-time compute, dynamic reasoning token allocation (Gemini 4 Pro, Claude 5.5, GPT Astra 6), Monte Carlo Tree Search (MCTS), and Process Reward Models / Panduan ahli penskalaan komputasi waktu uji (test-time compute), alokasi dinamis budget penalaran, MCTS, dan Process Reward Models.

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。

Comprehensive design guide & BM25 search engine for web and mobile applications across 11 tech stacks / Panduan desain komprehensif & mesin pencari BM25 untuk aplikasi web dan mobile di 11 tech stack.

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。