207 件 ・ 関連度順
概要と使いどころ
Create institutional-quality equity research initiation reports through a 5-task workflow. Tasks must be executed individually with verified prerequisites - (1) company research, (2) financial modeling, (3) valuation analysis, (4) chart generation, (5) final report assembly. Each task produces specific deliverables (markdown docs, Excel models, charts, or DOCX reports). Tasks 3-5 have dependencies on earlier 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。
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
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 equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
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 concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape, valuation, and recent news to produce a professional HTML report.
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。
Options strategy framework supporting Black-Scholes pricing, Greeks analysis, and multi-leg backtesting. Suitable for cryptocurrency and equity options.
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 management assessment — the 'buying a stock is buying a person' layer. For a company or a named executive, evaluate integrity (promise-vs-delivery tracking, crisis behavior, stakeholder treatment), ability (strategic foresight, execution, capital-allocation record) and governance (equity structure, compensation, related-party deals). Outputs a weighted score across integrity / ability / capital-allocation / governance plus Duan Yongping's 3-question verdict ('would you hand this person your money for 10 years'). Use when standard research leaves management quality uncertain, or when management IS the investment thesis.
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 signal_engine.py for portfolios spanning multiple markets (A-shares + crypto, equity + forex, etc.)
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。
Compare multiple job offers side-by-side with total compensation analysis. Use when the user has multiple offers and wants to compare salary, equity, benefits, or total comp.
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 an offer letter with comp details and terms. Use when a candidate is ready for an offer, assembling a total comp package (base, equity, signing bonus), writing the offer letter text itself, or prepping negotiation guidance for the hiring manager.
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 translating a specific event, policy change, macro shock, or industry development into public-equity issuer, sector, earnings, valuation, positioning, and portfolio implications. Do not use for standalone macro strategy, rates, FX, credit, futures, or generic market commentary.
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 triaging public-equity idea candidates. Do not use for final trade recommendations, pitches, memos, or 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。
Use when building public-equity-investing initiating coverage reports. Do not use for trade pitches, memos, earnings notes, models, or tearsheets.
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。
Safely update public-company Excel model copies from source-to-model maps; emits XLSX as the hero artifact and CSV/log/manifest as support. Do not use for pure earnings notes or broad workbook audits.
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 building public-equity DCF valuation workbooks. Default to the banker formula workbook path for new model builds; use deterministic exports only for controlled support calculations or explicit lightweight runs. Do not use for standalone workbook audits; use model-audit-tieout.
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 creating Public Equity Investing meeting prep briefs. Do not use for private diligence, IB, FP&A, legal, or scheduling-only 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。
Use when running first-pass QC on Public Equity Investing decks or reports. Do not use as external-circulation certification.
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 building public-equity-investing catalyst calendars. Do not use for full event underwriting; use event-driven-analyzer.
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 drafting or reviewing formal public-equity investment memos. Do not use for live trade construction or credit-first memos; use long-short-pitch or Credit Markets as appropriate.
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 auditing existing Public Equity Investing models or spreadsheets. Do not use to build a new model from scratch.
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。
Produce Public Equity Investing comparable-company valuation in report or workbook mode. Use for peer selection, multiple analysis, valuation read-throughs, implied prices, comps dashboards, Excel or Sheets comps, refreshable peer tables, model updates, and comps workbook QA. Do not use for DCF-only, credit-security, or generic market commentary requests.
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 building PM-facing Public Equity Investing trade pitches, including sparse-context or partial-section requests. Do not use for formal memos; use memo-builder.
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 analyzing dated public-equity event paths, probabilities, payoffs, and expected returns. Do not use for generic catalyst lists, risk sizing, hedges, capital structure, covenants, or credit recovery.
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 turning a public-equity base case, model, thesis, event, or catalyst into scenario skew, sensitivity, breakpoint, and PM action-threshold analysis. Do not use for first-pass model builds, credit-security valuation, or generic 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。
Analyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or "research [company] for me".
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。