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概要と使いどころ
Use when evaluating stocks through Duan Yongping's benfen (本分) value investing lens: good business, right price, long hold, understand what you own, and stay within your circle of competence.
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 evaluating a business through Buffett-style ownership, owner earnings, durable moat, management quality, capital allocation, and margin-of-safety judgment.
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 evaluating Chris Hohn / TCI-style concentrated quality investing: exceptional businesses, pricing power, high returns on capital, engagement, and long-duration concentrated ownership.
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 evaluating Li Lu-style value investments: circle of competence, long-term compounding, deep research, conservative downside, China/global quality businesses, and concentrated ownership.
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。
Explore an existing PostgreSQL database before answering questions about its data or writing SQL. Use this skill whenever a user asks for a query or a data-backed answer against an unfamiliar schema (counts, missing or failed records, recent changes), asks where a business concept lives, or asks how tables, joins, views, routines, triggers, RLS, or extensions work. Find the relevant objects with read-only pg_catalog queries, then request approval before inspecting data-derived statistics or rows. Not a schema-design or migration guide.
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。
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
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 oTP behaviors including gen_server for stateful processes, gen_statem for state machines, supervisors for fault tolerance, gen_event for event handling, and building robust, production-ready Erlang applications with proven patterns.
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。
Power system network data formats and topology. Use when parsing bus, generator, and branch data for power flow 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。
Translate logistics and operations rules into optimization variables and constraints. Use when an operations problem describes vehicles, routes, depots, pickups, dropoffs, inventory, capacity, assignments, time windows, service targets, penalties, resource limits, or other business rules that need to become an optimization model.
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。
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching `acopf-math-model.md` and MATPOWER branch fields. Use when computing branch flows in either direction, aggregating bus injections for nodal balance, checking MVA (rateA) limits, computing branch loading %, or debugging sign/units issues in AC power flow.
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。
Tools and techniques for detrending time series data in macroeconomic analysis. Use when working with economic time series that need to be decomposed into trend and cyclical components. Covers HP filter, log transformations for growth series, and correlation analysis of business cycles.
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。
Read Microsoft Excel (.xlsx) files robustly with `openpyxl` (or `pandas`). Covers multi-sheet workbooks, header rows, empty cells, merged cells, comma-separated list cells, and converting a sheet to a list-of-dicts the rest of your code can consume. Use when a task input or reference document is an `.xlsx` file rather than JSON/CSV.
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。
Provide robust computational geometry primitives
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 feature specifications as requirements and user stories with acceptance criteria, focusing on business value and testable conditions.
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。
Systematically fix all failing tests after business logic changes or refactoring
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。
Implement Stripe payment processing for robust, PCI-compliant payment flows including checkout, subscriptions, and webhooks. Use when integrating Stripe payments, building subscription systems, or implementing secure checkout 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。
Create detailed 3-5 year financial model with revenue, costs, cash flow, and 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。
This skill should be used when the user asks about "key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests guidance on tracking and optimizing business performance metrics.
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 comprehensive market opportunity analysis with TAM/SAM/SOM calculations
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。
Implement saga patterns for distributed transactions and cross-aggregate workflows. Use when coordinating multi-step business processes, handling compensating transactions, or managing long-running workflows.
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。
Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.
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。
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
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 "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.
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。
Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.
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。