306 件 ・ 関連度順
概要と使いどころ
CRE Industrial analysis suite - 8 specialist skills for U.S. industrial acquisitions, covering market study, lease roster analysis, lease abstraction, tenant credit, physical inspection, underwriting, financing fit, and investment committee memo writing.
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。
CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing.
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。
Celebrate real milestones only. One line, one emoji. Credit belongs to user, not AI.
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 paid motion-graphics videos in Kunpeng with MiniMax H3, Omni, or Seedance Mini. Use for MG animation, app showcase MG, talking-head graphic overlays, text-to-video MG explainers, and editor/canvas workflows that may spend credits.
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。
Team-theory primitives for cooperative agents: what each subagent sees, when to communicate, aggregation, Shapley credit, coalition topology. Use when organizing subagents.
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。
Debt payoff strategy generator. Compares avalanche (highest interest first) vs snowball (smallest balance first) methods, calculates payoff timelines and total interest saved, and recommends optimal payment allocation across multiple debts. Includes credit card consolidation and refinancing analysis. Use when the user says "/finance debt", "pay off my debt", "snowball or avalanche", "consolidation", or asks for any debt strategy.
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 answering questions about IFRS standards, IAS standards, IASB, financial reporting, revenue recognition, lease accounting, impairment, financial instruments, expected credit loss, ECL, consolidation, business combinations, fair value measurement, first-time adoption, deferred tax, provisions, insurance contracts, journal entries, disclosure requirements, IFRS compliance checks, audit support, GAAP differences, goodwill, or transitioning from local GAAP to IFRS.
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。
Conduct Fundamental Rights Impact Assessments (FRIA) for high-risk AI systems as required by EU AI Act Article 27. Use when (1) deployers of high-risk AI systems (Annex III) need to assess fundamental rights impacts before first use, (2) public bodies or private entities providing public services are deploying AI systems, (3) credit scoring or insurance risk assessment AI systems are being deployed (Annex III 5b, 5c), (4) evaluating impact on natural persons' fundamental rights (dignity, liberty, privacy, data protection, non-discrimination, children's rights, etc.), or (5) creating EU AI Act Article 27 compliance documentation with market surveillance notification.
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。
Understanding how algorithmic systems shape what users see, know, and do -- from recommendation feeds to search ranking to credit scoring to hiring software. Covers the mechanics of recommendation systems, algorithmic bias and its sources, personalization's effects on information diets, opacity and accountability, AI limitations (hallucination, confident wrongness), and the human-in-the-loop question. Use when a learner needs to think critically about why particular content reached them.
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 the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.
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 whenever the user wants to find, shortlist, vet, or enrich US accounting and tax firms (CPA firms) — financial-statement audit, SOC 1/2 audit, corporate tax, bookkeeping for businesses, advisory/fractional CFO, M&A diligence, 409A valuations, R&D tax credits, IPO readiness, sales-and-use tax. Triggers on "find me a CPA firm for our delaware c-corp series A audit", "shortlist three audit firms with SaaS experience", "we need a tax advisor for our M&A", or "pull contact info for these 10 accounting firm domains", even when described indirectly (audit our books, fractional CFO support, file our 1120). Drives the ServiceGraph API (api.servicegraph.co) — a 100k+ US firm catalog filterable by industry, services, location, size, ratings. Skip personal/consumer tax preparation (1040, individual estate, retirement planning), in-house controller/CFO hires, "how do I file my taxes" DIY questions, accounting-software comparisons (QuickBooks vs Xero), non-US firms, individual freelance bookkeepers.
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 PIK and PIK toggle models with compound interest analysis, cash vs PIK election scenarios, and leverage impact assessment. Use when modeling PIK instruments, analyzing toggle mechanics, or evaluating accrued interest impact.
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 potential future exposure and CVA with simulation-based approaches and netting agreement analysis. Use when modeling counterparty exposure, calculating CVA/DVA, or assessing counterparty risk.
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。
Coordinates loan trading with LSTA standard documentation, delayed settlement compensation, and trade settlement mechanics. Use when managing loan trades, processing LSTA documentation, or coordinating trade settlement.
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 middle-market lending environment with competition analysis, spread trends, and deal structure evolution. Use when analyzing middle-market lending, tracking competitive dynamics, or assessing market 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。
Monitors leveraged loan market conditions with new issue activity, technical dynamics, and CLO demand analysis. Use when analyzing loan markets, tracking CLO activity, or assessing market technical 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。
Evaluates data centers, fiber networks, and tower assets with capacity analysis, tenant credit, and technology obsolescence risk. Use when analyzing digital infrastructure, evaluating tower portfolios, or assessing data center investments.
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 amendment and waiver requests with consent requirements, fee structures, and modified term impact analysis. Use when analyzing amendments, structuring consent solicitations, or evaluating covenant relief 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。
Query OpenRouter API costs, credits, and usage breakdown by model, provider, and date for the last 30 days. Triggers on API spending, check costs, openrouter usage, how much have I spent.
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 Odylith Discipline pressure behavior, host/lane parity, or credit-safe benchmark proof needs validation.
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 Odylith Discipline pressure behavior, zero-credit hard laws, host/lane parity, or benchmark-proved learning-spine contracts need validation.
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 and improve prompts for Kling AI video generation, and pick the right Kling model for the job. Covers image-to-video, text-to-video, multi-shot storyboards, talking avatars from one photo plus audio, motion transfer, video editing of an existing clip, Element Reference for character consistency, Voice Control and voice cloning, native audio and dialogue, first/last frame control, credit and API costs, and troubleshooting failed generations.
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。
"Apply information economics to diagnose and remedy market failures caused by asymmetric information. Use this skill when the user needs to analyze adverse selection, moral hazard, or signaling and screening mechanisms, especially in insurance, labor, credit, or product quality 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。
"Analyze financial health using ratio categories: profitability, liquidity, leverage, efficiency, and valuation. Use this skill when the user needs to assess a company's financial performance, compare companies, evaluate creditworthiness, or prepare financial due diligence — even if they say 'is this company financially healthy', 'analyze these financial statements', or 'compare these two companies'.".
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。