「model」の検索結果

"Apply AI ethics frameworks (fairness, accountability, transparency, privacy) to evaluate AI systems for algorithmic bias, explainability gaps, and value alignment failures. Use this skill when the user needs to audit an AI system for ethical risks, design fairness constraints, assess explainability requirements, or when they ask 'is this AI system fair', 'how do we detect algorithmic bias', 'what are the ethical implications of this AI deployment', or 'how do we make this model explainable to stakeholders'.".

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。

"M&A integration playbook covering eight modules: strategic rationale, target screening, due diligence (financial/legal/commercial), valuation with valuation bridge, synergy analysis, deal structuring (stock vs. asset, cash vs. equity, earn-out), SPA key clauses, and post-merger integration (PMI). Use for deal evaluation, valuation disputes, structure design, earn-out design, synergy breakdown, integration risk, or hostile takeover defense. Triggers: 『併購』『收購』『M&A』『盡職調查』『DD』『估值橋』『綜效』『earn-out』『換股比例』『PMI』『買殼』『借殼上市』『敵意併購』『交易結構』. For Taiwan EMBA 財管組 case studies and term reports (台大／政大／陽交). Complements Asgard `biz-dcf` and `fin-modeling` (valuation tools) plus `biz-corporate-governance` (governance layer) by providing the transaction-layer framework.".

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 Complex Adaptive Systems theory to analyze phenomena exhibiting emergence, self-organization, co-evolution, and edge-of-chaos dynamics. Use this skill when the user needs to understand why a system behaves unpredictably despite known components, model agent-based interactions that produce emergent outcomes, analyze fitness landscapes, or when they ask 'why does this system behave in ways no one designed', 'how do local interactions create global patterns', or 'why do small changes sometimes cause massive system shifts'.".

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 basic game theory concepts including Nash equilibrium, dominant strategies, and the Prisoner's Dilemma to analyze strategic interactions. Use this skill when the user needs to model competitive decisions, predict rival behavior, design incentive mechanisms, or evaluate cooperation vs competition scenarios — even if they say 'what will our competitor do', 'should we cooperate or compete', or 'how do we set up the right incentives'.".

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 supply chain operations using the SCOR model across Plan, Source, Make, Deliver, and Return processes. Use this skill when the user needs to optimize supply chain efficiency, evaluate supplier performance, improve logistics, or design an end-to-end supply chain strategy — even if they say 'our deliveries are slow', 'supply chain costs are too high', or 'we keep running out of stock'.".

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 PageRank algorithm to compute web page importance scores using the random surfer model. Use this skill when the user needs to rank pages by link authority, build a simplified search ranking system, or understand how link structure determines page importance — even if they say 'which pages are most important', 'link analysis', or 'page authority score'.".

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。

"Enterprise risk management (ERM) framework layer — integrates COSO ERM 2017 (five components, 20 principles), ISO 31000, three-lines model, risk appetite, risk heatmap, and key risk indicators (KRI) into a complete governance playbook covering structure through culture. Use for ERM implementation, risk-system build, risk mapping, risk-appetite statement drafting, three-lines setup, CRO role design, or Taiwan FSC corporate-governance evaluation response. Triggers: 『ERM 導入』『風險管理框架』『COSO』『風險地圖』『風險胃納』『KRI』『CRO 職責』『三道防線』『風險委員會』『ISO 31000』『風險熱圖』『風險治理』. For 師大／政大／陽交 EMBA risk-management/governance/audit cases. Complements Asgard `algo-risk-*` (Altman Z, Benford, credit, VaR) with the framework/governance layer. 獨董挑選/董事會組成/IPO 治理: use `biz-corporate-governance`.".

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。

"Corporate innovation-governance toolkit integrating Stage-Gate process, 3 Horizons model, innovation portfolio management, open innovation, corporate venture capital (CVC), innovation KPIs, and intrapreneurship. Use for innovation-portfolio design, second-curve planning, innovation-project review gating, open-innovation evaluation, CVC setup, innovation-KPI design, or managing tension between core and new businesses. Triggers: 『第二曲線』『創新專案怎麼管』『新事業孵化』『收購投資新創』『Stage-Gate』『研發投資組合』『內部創業』『開放式創新』『CVC』『3 Horizons』『創新 KPI』. For Taiwan EMBA innovation-management/strategy/technology-management cases (台大／中山). Startup basics: use Asgard `ux-lean-startup`; innovation theory: use Asgard `grad-disruptive-innovation`, `grad-ambidexterity`; 家族二代接班治理: use `biz-corporate-governance` 或 `ops-talent-strategy`; ESG/淨零策略結合: use `biz-net-zero-transition`.".

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 and design pricing strategies including cost-plus, value-based, competitive, penetration, and skimming approaches with psychological pricing techniques. Use this skill when the user needs to set or change prices, evaluate pricing models, understand price elasticity, or apply psychological pricing — even if they say 'how much should we charge', 'are we priced right', or 'our margins are too low'.".

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。

"Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency. Use this skill when the user needs to assess whether their customer acquisition is profitable, optimize marketing spend allocation, or evaluate business model viability — even if they say 'are we spending too much on ads', 'what's each customer worth', or 'is our growth sustainable'.".

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 LDA topic modeling to discover latent topics in document collections. Use this skill when the user needs to extract topics from a text corpus, categorize documents by theme, or explore thematic structure — even if they say 'what are the main topics', 'topic extraction', or 'document clustering by theme'.".

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。

Evaluate LLM agents and tool-using workflows—task success, tool accuracy, latency/cost, safety, and regression suites. Use when shipping agent features, comparing prompts/models, or debugging agent failures.

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 exponential smoothing methods for time series forecasting with weighted moving averages. Use this skill when the user needs simple, robust forecasts, implement Holt-Winters for seasonal data, or build lightweight forecasting without complex models — even if they say 'simple forecast', 'moving average prediction', or 'smoothing method'.".

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 comprehensive end-to-end tests using Playwright with page object model pattern. Use when creating browser-based tests for user 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。

Write a durable feature spec before touching code. Reads the codebase map, reads related models/migrations to ask technical questions (not generic ones), then produces a structured spec doc in docs/specs/. Designed to pipeline with /implementation --issue N. Use before any feature implementation.

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。

Generates machine_readable execution logic for Dutch law YAML files: writes the machine_readable sections, validates against the schema, and (when a shell is available) runs the BDD suites until the model is correct. Use this skill proactively when: editing or creating machine_readable sections in law YAML files, working with corpus regulation files, or when user mentions 'generate', 'machine_readable', or wants to make a law executable. Activate automatically when user discusses law YAML files that need executable logic.

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。

Voert de iteratieve desk-review-&-completion-cyclus uit op een regelrecht-corpus — plannen, harvesten/migreren/uitbreiden, multi-agent valideren, bevindingen 4-weg classificeren (modellering-fout / wetgevings-fout / engine-limitatie / acceptabele untranslatable), synthese + heroverweging, documenteren (wetgevings-/stelselfouten-analyse, fixes-plan, engine-limitaties, diagrammen, corpus-status), verifiëren tegen externe bronnen (resolutie-tracker + bronnen-dossier), en een eindrapport per cyclus. Gebruik dit bij corpus-review op correctheid/coverage zonder live expert-sessie, het opstellen van een wetgevings-notitie-bron, schema-migratie, het harvesten van nieuwe wetten, of het aansturen van een autonome completion-loop. Dossier-agnostisch; de regelrecht-methode is de vaste taal. Voor live-validatie met experts: zie regelrecht-audit-products.

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。

Documentation reference for writing Python code using the browser-use open-source library. Use this skill whenever the user needs help with Agent, Browser, or Tools configuration, is writing code that imports from browser_use, asks about @sandbox deployment, supported LLM models, Actor API, custom tools, lifecycle hooks, MCP server setup, or monitoring/observability with Laminar or OpenLIT. Also trigger for questions about browser-use installation, prompting strategies, or sensitive data handling. Do NOT use this for Cloud API/SDK usage or pricing — use the cloud skill instead. Do NOT use this for directly automating a browser via CLI commands — use the browser-use skill instead.

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 Desktop sidebar sessions disappear, fail with systemError, or cannot continue after a model_provider switch. Diagnoses and repairs active, non-archived sessions without changing authentication or provider configuration.

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。

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

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。

Rapidly map a new codebase, identify the runtime model, risk zones, and first high-value next steps.

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 balanced, evidence-based performance reviews for employees. Covers achievements, development areas, and goal setting using the SBI (Situation-Behavior-Impact) feedback model. Produces reviews that are fair, legally defensible, and growth-oriented. Use during annual or semi-annual review cycles. Do not use for disciplinary actions, PIPs, or compensation 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。

Write structured business cases with problem framing, options analysis, financial modeling (NPV/ROI/Payback), risk assessment, and implementation roadmap. Follows HBR business case structure. Use when seeking budget approval, proposing new initiatives, or justifying investment 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。

Turn business data, KPI movement, or experiment results into a clear narrative using the what-so what-now what structure, audience calibration, and action-oriented insight. Use when leaders need a data-backed brief, dashboard storyline, or metric interpretation. Do not use for raw statistical modeling with no communication deliverable.

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。