1,673 件 ・ 関連度順
概要と使いどころ
Build accrual schedules for A-share companies tracking revenue recognition, expense accruals, and working capital timing. Adapted from the original accrual-schedule skill for CAS accounting and Chinese business practices. Triggers on "A股应计项目", "应计计提", "accrual schedule China", "应计账款分析", or "working capital accruals [company]".
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。
Create PowerPoint templates for A-share investment presentations. Adapts the original ppt-template-creator skill for Chinese business presentation standards and firm branding. Triggers on "A股PPT模板", "投资PPT模板", "create ppt template China", "presentation template", "制作PPT模板", or "build template for [purpose]".
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。
Create professional Excel workbooks for A-share financial analysis. Adapts the original xlsx-author skill for Chinese financial modeling standards, CAS conventions, and A-share formatting. Triggers on "A股Excel模型", "财务模型制作", "create model China", "build model xlsx", "制作模型", or "Excel model [company]".
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。
Draft anonymous one-page company teasers for A-share sell-side M&A processes. Creates compelling blind profiles without revealing the company's identity, adapted for Chinese market conventions. Triggers on "A股Teaser", "盲审材料", "blind profile China", "anonymous teaser A-share", or "sell-side teaser".
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。
General ledger reconciliation for A-share companies. Adapts the original gl-recon skill for Chinese accounting standards, chart of accounts, and common reconciliation items. Triggers on "A股总账核对", "总账调节", "GL reconciliation China", "科目余额表", or "reconcile [company] accounts".
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。
General ledger reconciliation for A-share fund administration. Tracks fund accounting reconciliations including securities, cash, income, and expense accruals. Adapted from the original gl-recon skill for fund accounting standards. Triggers on "基金总账核对", "基金科目核对", "GL reconciliation fund", "fund accounting recon", or "reconcile [fund] books".
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 A-share and Chinese financial market data via multiple data sources. Tier-1 paid source is iFind (同花顺, covers stocks/funds/macro/bonds/HK-US/ESG/index-sectors). Tier-2 free source is AkShare (行情/财报/行业/指数). Use whenever the agent needs Chinese financial data — compatible with 沪深 A 股, 科创板, 创业板, 北交所, and 港股通 stocks.
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。
Roll forward A-share financial models for new periods. Adapts the original roll-forward skill for Chinese financial statements, CAS conventions, and A-share reporting calendars. Triggers on "A股模型滚动", "模型更新", "roll forward model China", "roll forward", "更新财务模型", or "project [company] [period]".
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。
DCF valuation model for A-share stocks using Chinese financial data. Uses AkShare MCP for financial statements, WACC inputs (risk-free rate from China government bond yields), and growth projections. Use instead of the original dcf-model skill for Chinese equities.
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。
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
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。
Daily morning research note for A-share markets. Summarizes overnight developments, pre-market sentiment, trade ideas, and key events for the trading day. Adapted from the original morning-note skill for Chinese market conventions. Triggers on "早报", "晨会纪要", "今日策略", "morning note", "morning meeting", or "daily A-share preview".
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。
Build professional data packs for A-share investment banking deals — M&A due diligence, IC materials, company profiles. Adapted from the original datapack-builder skill for Chinese data sources (AkShare, 巨潮, exchange filings) and CAS accounting. Triggers on "A股数据包", "投行数据包", "datapack China", "due diligence pack A-share", or "IC data pack [company]".
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。
Post-earnings quarterly update reports for A-share companies under coverage. Analyzes 业绩快报/正式财报, generates variance tables (actual vs 一致预期 vs prior), flags key drivers, and drafts structured earnings notes in Chinese sell-side format. Use instead of the original earnings-analysis skill for Chinese equities. Triggers on "A股财报分析", "季度业绩点评", "年报/中报点评", "earnings review", or "[company] earnings".
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。
Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says "local SEO", "Google Business Profile", "GBP", "map pack", "local pack", "citations", "NAP consistency", "local rankings", "service area", "multi-location", or "local search".
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。
Optimize slow React Router loaders by eliminating redundant DB queries, creating slim query variants, and parallelizing independent fetches. Use proactively when writing or reviewing loader code that calls domain operations services (e.g. CourseOperationsService, VideoOperationsService), or when triaging a slow page load.
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 knowledge for Azure Service Fabric development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Service Fabric clusters, Reliable Services/Actors, reverse proxy/API gateways, CRP/CRM settings, or sfctl automation, and other Azure Service Fabric related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Container Apps (use azure-container-apps), Azure App Service (use azure-app-service), Azure Virtual Machines (use azure-virtual-machines).
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 knowledge for Azure Service Connector development including troubleshooting, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when wiring Azure compute to Redis, databases, storage, messaging, AI services, or third‑party endpoints, and other Azure Service Connector related development tasks. Not for Azure API Management (use azure-api-management), Azure Connector Namespace (use azure-connector-namespace), Azure Logic Apps (use azure-logic-apps), Azure Service Bus (use azure-service-bus).
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 guidance for designing, assessing, and optimizing Azure workloads using Azure Well Architected. Covers design review checklists, recommendations, design principles, tradeoffs, service guides, workload patterns, and assessment questions. Use when designing AI, HPC, SaaS, AVD/AVS workloads, choosing regions/AZs, or configuring core Azure services, and other Azure Well Architected related development tasks.
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 knowledge for Azure AI Immersive Reader development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning read-aloud/translation, storing user prefs, Entra auth setup, JS SDK integration, or language support, and other Azure AI Immersive Reader related development tasks. Not for Azure AI Language (use azure-language-service), Azure AI Speech (use azure-speech), Azure Translator (use azure-translator), Azure AI services (use microsoft-foundry-tools).
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 knowledge for Azure Container Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using ACA auth, private networking, KEDA/Dapr scaling, GitHub Actions CI/CD, or Java microservices, and other Azure Container Apps related development tasks. Not for Azure Container Instances (use azure-container-instances), Azure App Service (use azure-app-service), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Spring Apps (use azure-spring-apps).
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 guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when designing AKS/microservices, hybrid/Arc, SAP or mainframe migrations, IoT/Edge, or mission-critical BCDR, and other Azure Architecture related development tasks.
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 knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).
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 knowledge for Azure Arc development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Arc-enabled Kubernetes, Arc SQL/data services, Agentic Retrieval APIs, resource bridge, or Edge Volumes, and other Azure Arc related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Network (use azure-virtual-network), Azure Policy (use azure-policy).
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。
Designs irresistible Grand Slam Offers using Alex Hormozi's value equation, obstacle-solution mapping, value-cost trim/stack, and offer-naming patterns. Use when fixing low conversion rates, packaging products, pricing services, designing high-converting offers, or when prospects browse but don't buy. Covers value stacking, guarantees, scarcity, urgency, and pricing psychology for validated markets.
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。