701 件 ・ 関連度順
概要と使いどころ
Structures post-offering stabilization with overallotment option exercise, market support, and penalty bid mechanisms. Use when managing stabilization, exercising greenshoe options, or analyzing aftermarket support.
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Structures strategic alternatives analysis with status quo, sale, merger, spin-off, and recapitalization scenario comparison. Use when evaluating strategic options, preparing board-level alternatives, or analyzing corporate transformations.
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 unitranche structures with first-out/last-out splits, blended pricing, and agreement among lenders provisions. Use when analyzing unitranche options, comparing unitranche vs traditional structures, or modeling blended costs.
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。
Deconstructs structured note payoffs with embedded option identification, issuer credit risk, and all-in cost analysis. Use when analyzing structured notes, evaluating embedded options, or assessing structured product costs.
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Evaluates secondary-focused credit facilities with leverage terms, borrowing base mechanics, and portfolio pledging requirements. Use when analyzing secondary lending, structuring portfolio leverage, or evaluating fund finance options.
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Evaluates secondary offering types including overnight blocks, marketed deals, ATMs, and bought deals with dilution analysis. Use when analyzing follow-on options, structuring secondary offerings, or evaluating dilution impact.
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Evaluates GP-led continuation vehicle structures with existing LP options, pricing methodology, and new investor terms. Use when analyzing continuation vehicles, structuring GP-led transactions, or evaluating tender offers.
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Evaluates commodity swaps, options, and exotic structures with seasonality, convenience yield, and storage cost analysis. Use when pricing commodity derivatives, analyzing energy structures, or evaluating commodity hedging.
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。
Complete development with structured merge/PR options. Use when ready to merge or submit work.
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。
Collaborative document creation via a structured three-stage workflow. Use for writing specs, PRDs, design docs, proposals, RFCs, and any long-form document where quality and clarity matter. Brainstorms 5-20 options per section, builds iteratively, and tests with reader sub-agents.
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。
Interact with your Public.com brokerage account using the Public.com API. Able to view portfolio, get stock quotes, place trades, and get account updates. To create a Public.com account head to public.com/signup.
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。
Xiaohongshu (Little Red Book) infographic series generator with multiple style options. Breaks down content into 1-10 cartoon-style infographics. Use when user asks to create "小红书图片", "XHS images", or "RedNote infographics".
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。
Prevent AI hallucination and ensure evidence-based responses when analyzing code or making suggestions. Use when: analyzing code, making recommendations, providing options, or when user asks about confidence/certainty. Keywords: certainty, assumption, inference, evidence, source, 確定性, 推測, 假設, 來源, 證據.
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。
Simplify cluttered UI by removing unnecessary elements, choices, features, and structural complexity. Use when the problem is too many controls, options, features, or competing elements—not when the structure is sound and the real issue is only visual intensity or lack of personality.
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。
Search and order products online. Compares prices across Polish marketplaces (Allegro, Ceneo, Google Shopping), presents options in a comparison table, and assists with checkout. Handles the full flow: priority selection, research, comparison, cart, and checkout handoff. Triggers on: "order", "buy", "find product", "compare prices", "cheapest", "zamow", "kup", "znajdz produkt", "porownaj ceny", "najtaniej".
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。
Tested reasoning approaches for Claude prompts — 18 variants across 6 categories (Analytical, Strategic, Creative, Technical, Research, Comparative). Use when the user wants a specific reasoning template — retrieving, reviewing, customizing, or combining reasoning instructions for a prompt. Trigger on: "give me the Root Cause Diagnosis approach," "show me the reasoning template for," "I need the Evidence Synthesis method," "show me analytical reasoning options," "combine reasoning approaches for," "show me all reasoning variants." Also use when a prompt produces shallow output and the fix is a reasoning upgrade. Provides 18 tested approaches for analytical, strategic, creative, technical, research, and comparison tasks. If the user is unsure which reasoning method fits, use rootnode-block-selection first if available. Do NOT use for evaluating existing prompts — use rootnode-prompt-validation if available. Do NOT use for project-level audits — use rootnode-project-audit if available.
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Plan a multi-stop tour route with waypoint optimization, drive/walk time estimation, and POI discovery along the route using OSM data. Covers geocoding, nearest-neighbor and TSP-based ordering, time/distance matrix calculation, and itinerary generation with points of interest. Use when planning a road trip or walking tour with multiple destinations, optimizing visit order to minimize travel time, discovering sites along a route, or comparing driving versus walking versus public transport 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。
Scaffold a new CLI command using Commander.js with options, action handler, three output modes (human-readable, quiet, JSON), and optional ceremony variant. Covers command naming, option design, shared context patterns, error handling, and integration testing. Use when adding a command to an existing Commander.js CLI, designing a new CLI tool from scratch, or standardizing command structure across a multi-command CLI.
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 a Quarto document for reproducible reports, presentations, or websites. Covers YAML configuration, code chunk options, output formats, cross-references, and rendering. Use when creating a reproducible analysis report, building a presentation with embedded code, generating HTML, PDF, or Word documents from code, or migrating an existing R Markdown document to Quarto.
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。
AI multi-path reasoning coherence using bee democracy — independent evaluation of competing approaches, waggle dance as reasoning-out-loud, quorum sensing for confidence thresholds, and deadlock resolution. Use when forage-solutions has identified multiple valid approaches and a selection must be made, when oscillating between options without committing, when justifying an architecture or tool choice with structured reasoning, or before an irreversible action where the cost of the wrong choice is high.
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。
Achieve distributed agreement without central authority using bee democracy, threshold voting, and quorum sensing. Covers proposal generation, advocacy dynamics, commitment thresholds, deadlock resolution, and consensus quality assessment. Use when a group must decide between options without a designated leader, when centralized decision-making is a bottleneck, when stakeholders have different perspectives to integrate, or when designing automated systems that must reach consensus such as distributed databases or multi-agent AI.
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Data fetching, caching, and revalidation patterns in Next.js App Router. Covers native fetch caching, ISR/SSG/SSR per-route choice, generateStaticParams, unstable_cache, revalidatePath/revalidateTag, Route Handlers, dynamic vs static rendering. Use this skill to: - Pick the right rendering mode (SSG / ISR / SSR / streaming) per route. - Use native fetch caching options correctly. - Build Route Handlers that match REST conventions. - Invalidate cached data after mutations. - Use generateStaticParams for dynamic SSG. Do NOT use this skill for: - RSC vs Client boundaries (see server-component-patterns). - Routing primitives (see nextjs-routing). - General conventions (see nextjs-conventions).
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。
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For ready-made ADMET numbers without training a model use admet-prediction; for benchmark datasets and task-aware splits use pytdc.
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。
Transform academic papers into in-depth technical articles with multiple writing style options. Use the MinerU Cloud API for high-precision PDF parsing, automatically extracting images, tables, and formulas. Optional formula explanations and GitHub code analysis, generating Markdown and HTML formats.
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。