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概要と使いどころ
Connect a site's existing WebMCP tools to AgentLane without rebuilding them. Use when a codebase already registers document.modelContext tools — natively or through any SDK — and the developer wants them visible in AgentLane, migrated onto @nekuda/webmcp-sdk with durable stable keys and verified to behave exactly as before.
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。
Translates a user request or PRD document into a structured Design Spec JSON — theme, color, typography, density, and device type. Call this before building Stitch generation prompts.
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。
Builds probability-weighted valuation models with multiple exit scenarios, timing assumptions, and risk-adjusted returns. Use when building growth equity valuations, modeling scenario-weighted outcomes, or analyzing risk-adjusted returns.
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 corporate scenario planning models with macro assumption sets, strategic response options, and contingency plan development. Use when building scenario frameworks, planning strategic responses, or developing contingency strategies.
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 secondary portfolio construction with vintage diversification, strategy mix, and geographic allocation optimization. Use when building secondary portfolios, managing allocation targets, or optimizing portfolio composition.
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 NPV, IRR, and payback models for capital investment decisions with hurdle rate calibration and risk adjustment. Use when evaluating capital investments, comparing project returns, or building capital allocation frameworks.
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 portfolio company monitoring with monthly financial packages, KPI dashboards, and management assessment frameworks. Use when monitoring portfolio companies, building reporting templates, or tracking financial performance.
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 investor day content with long-term strategy presentation, financial targets, and capital allocation framework communication. Use when preparing investor days, designing strategy presentations, or building financial target frameworks.
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。
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。
Develops PE sector theses with industry mapping, secular trends, fragmentation opportunity, and target universe identification. Use when building sector strategies, mapping investment themes, or identifying subsector opportunities.
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。
Constructs accretion/dilution analysis with pro forma financials, synergy phasing, and purchase price allocation. Use when modeling merger outcomes, calculating EPS accretion, or analyzing deal structures.
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。
Constructs plan of reorganization models with debt-for-equity conversion, new money injection, and emergence capital structure. Use when modeling restructuring plans, designing emergence capital structures, or analyzing plan feasibility.
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。
Constructs venture return models with entry valuation, follow-on reserve, multiple scenario exits, and portfolio-level fund math. Use when modeling VC returns, calculating fund economics, or projecting portfolio outcomes.
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。
Quantifies revenue and cost synergies with build-up methodology, realization timelines, and integration cost offsets. Use when estimating deal synergies, modeling cost savings, or building synergy cases for IC.
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。
Constructs LBO models with sources/uses, debt schedules, operating projections, and returns analysis across entry/exit scenarios. Use when modeling leveraged buyouts, calculating sponsor returns, or analyzing leverage capacity.
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 comprehensive buy-side diligence across financial, legal, commercial, and operational workstreams. Use when coordinating DD processes, building diligence checklists, or synthesizing DD findings.
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 institutional investor targeting with AUM analysis, sector allocation preferences, and historical participation patterns. Use when targeting investors, analyzing demand profiles, or building investor marketing lists.
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 bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.
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 conglomerate discount with SOTP analysis, segment-level valuation, and separation benefit quantification. Use when analyzing conglomerate value, building SOTP models, or evaluating break-up 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。
Build MySQL queries, perform CRUD operations, and manage transactions using @axiosleo/orm-mysql. Use when writing database queries, building where conditions, inserting/updating/deleting rows, managing transactions, or working with the ORM query builder in this project.
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。
Find the most valuable commercial insight and the monetization point closest to lawful revenue for a project, product, service, website, community, content account, open-source tool, or business idea. Use when a user asks how to monetize, who pays, why people do not buy, what to charge, whether to keep building, what to stop, what to do next, or asks to continue or deepen an earlier business analysis. Answer the user's actual question before asking for more information and carry the analysis forward without repeating it. When the buyer, purchased result, or delivery ability is unknown, do not select them from industry stereotypes; use explicit conditional candidates and an evidence-gathering next step. Not for investment advice, income forecasts, get-rich-quick schemes, or guaranteed results.
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, debugging, or documenting Telegram bot polling flows that need safe agent routing, state tracking, and final-only replies without webhooks.
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。