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概要と使いどころ
Competitive intelligence teardown — 5-layer analysis (signals, product, marketing, positioning, strategy) plus sales battlecard. Use when "competitor analysis", "competitive teardown", "who are our competitors", "battlecard", "competitive intel", "compare us to X", "what is X doing", or any request to research, analyze, or position against competitors.
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 system that makes HTML output look like a professional consulting deliverable instead of default AI styling. Use WHENEVER generating any HTML document — report, analysis memo, proposal, research summary, dashboard, artifact — and when the user says 「HTMLで資料」「HTMLでまとめて」「レポートにして」「コンサル風に」「資料っぽく」「デザインがダサい」 or asks to restyle existing AI-generated HTML. Replaces boxes, borders, gradients, emoji and rainbow colors with whitespace-driven, typography-first, print-ready (A4) design.
Use this skill whenever the user wants to analyze binaries with radare2/r2 from the command line, including reverse engineering, disassembly, function analysis, strings/import inspection, patching, binary diffing, hex inspection, or r2 scripting. Also use it when the user mentions PE/ELF/Mach-O/DEX/WASM files together with CLI analysis, `rabin2`, `rasm2`, `radiff2`, `r2pipe`, or asks for radare2 command help on Windows/Linux/macOS.
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。
audioFlux is a deep learning tool library for audio and music analysis and feature extraction, supporting dozens of time-frequency transforms and hundreds of feature combinations for classification, separation, MIR, and ASR 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 Codex is already in the attack-path-analysis phase of a security scan or the user explicitly asks to trace a security finding from source to sink and calibrate severity. Do not use as the primary trigger for full PR, commit, branch, patch, or repository scans.
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。
Produces a concise, structured analysis report of a codebase: dependencies, workflow, and 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。
Builds credible TAM/SAM/SOM analysis with external validation and sensitivity testing for startup fundraising: top-down, bottom-up, or both. Use when the user asks to size a market or check market claims and gives something to size: a product or service description, a market segment, or a deck with TAM/SAM/SOM claims. A full run takes about 15–20 minutes and searches the web, 30 or more with a large data room or a revision round, so for a passing question about market size, answer briefly in chat and offer the analysis instead of starting it. When it runs, every figure is externally sourced and stress-tested, never estimated from memory.
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。
Maps a startup's competitive landscape, scores moat strength across 6+ dimensions, and writes an investor-ready competition narrative with a positioning map. Use when the user asks for a competitive landscape, moat analysis, or positioning review and gives enough to work from: a deck, a list of competitors, or a clearly named startup. A full run takes about 30–40 minutes and searches the web, so for a passing question such as 'who are my competitors?' or 'is that a real moat?', answer briefly in chat and offer the analysis instead of starting it. When it runs, the competitor set and moat scores are checked adversarially, never recalled from memory.
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。
Calculates stub equity value with subsidiary attribution, holding company discount, and sum-of-parts residual analysis. Use when analyzing stub values, evaluating holding company discounts, or identifying negative stub situations.
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 base, upside, and downside operating scenarios with key assumption sensitivity and return distribution analysis. Use when building operating cases, stress testing projections, or presenting scenario 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。
Calculates dilutive impact of equity issuance on existing shareholders with EPS, ownership, and NAV per share analysis. Use when modeling dilution, communicating shareholder impact, or comparing capital raise alternatives.
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 economic profit (EVA) models with capital charge calculation, value spread analysis, and long-term value creation measurement. Use when calculating economic profit, analyzing EVA trends, or measuring value creation.
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 default probability and recovery rate models with industry data, structural analysis, and loss-given-default estimation. Use when modeling credit losses, estimating recovery values, or analyzing default 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。
Structures best execution monitoring with venue analysis, systematic internalization assessment, and regulatory compliance documentation. Use when managing best execution, documenting execution decisions, or conducting venue 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。
Evaluates LP portfolio rebalancing pressure from denominator effects with over-allocation analysis and pace adjustment recommendations. Use when analyzing denominator effects, assessing LP allocation constraints, or modeling portfolio rebalancing.
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。
Identifies fulcrum securities in distressed capital structures with enterprise value allocation and recovery sensitivity analysis. Use when analyzing fulcrum securities, estimating recovery ranges, or determining value breaks.
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。
Structures industry-level credit assessment with cyclicality analysis, regulatory risk, and sector-specific credit metrics. Use when analyzing industry credit conditions, evaluating sector risk, or building industry-level views.
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。
Assesses infrastructure fund secondaries with asset-level cash flow analysis, concession period evaluation, and regulatory risk assessment. Use when analyzing infra secondaries, evaluating infrastructure assets, or pricing infra fund interests.
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。
Structures credit underwriting with financial ratio analysis, cash flow quality assessment, and downside scenario modeling. Use when underwriting credit, analyzing borrower quality, or writing credit opinions.
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。
Assesses going-concern viability with 13-week cash flow models, liquidity runway, and critical vendor analysis. Use when evaluating liquidity crises, building 13-week models, or assessing near-term solvency.
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。
Assesses GP track records for secondary pricing with fund-level attribution, unrealized portfolio assessment, and consistency analysis. Use when evaluating GP track records, analyzing fund performance consistency, or assessing manager quality.
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。
Runs Monte Carlo simulations for portfolio analysis with return distribution, tail risk, and path-dependent scenario evaluation. Use when running portfolio simulations, estimating tail risk, or analyzing return distributions.
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。
Adjusts reported earnings for non-recurring items, accounting policy choices, and run-rate normalizations. Use when performing QofE analysis, adjusting EBITDA, or validating seller financial presentations.
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。
Evaluates mineral and hydrocarbon reserves with classification methodology, resource conversion rates, and valuation per unit analysis. Use when analyzing reserve reports, validating resource estimates, or assessing depletion profiles.
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。