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Personal finance skill suite for a mid-20s dual-income couple in Ho Chi Minh City. Covers budgeting, emergency fund building, investments, insurance, tax optimization, goal planning, and couple dynamics — all calibrated to Vietnam's financial ecosystem. Use when the user asks about budgeting, saving, investing, insurance, taxes, or financial goal planning — trigger phrases include "review our budget", "how should we invest", "do we have enough insurance", and "plan for a home purchase". Use even if the user only mentions one financial topic without asking for a full review.

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 insurance company investment portfolios with ALM considerations and regulatory constraints. Use when analyzing insurer investments, managing ALM, or evaluating portfolio compliance.

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。

Prepare fundraising financial materials — investor model, data room financial docs, cap table, and use-of-funds narrative. Use when asked to "prepare for Series A", "build our investor model", or "what financials do investors want".

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 and update pitch decks, one-pagers, investor memos, accelerator applications, financial models, and fundraising materials. Use when the user needs investor-facing documents, projections, use-of-funds tables, milestone plans, or materials that must stay internally consistent across multiple fundraising assets.

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。

Investigate an alert, page, or production symptom in an incident channel or a team's oncall / monitoring channel, and report findings a human can verify. Ordinary conversation and chatter are not alerts; leave those alone. Use when an alert or page lands, when error rate, latency or saturation is up, when someone asks "why is X broken", "investigate", "what changed", "root cause this", pastes a monitor, dashboard, trace or error-tracker link, or reports production trouble; also by default when an alert lands in a covered channel unasked. Feed-level asks land here too ("which alerts matter", "triage today's alerts"), plus the scheduled alert-review routine and the ticket path ("customer X can't check out"). Runs a fast first pass posted as a short interim update with a TL;DR, every finding carrying the query or link to verify it, then proposes the fix and — with connector access and confirmation — carries it out, never unattended. Afterwards `incident-postmortem` writes it up.

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The Mileva Method (CRISP) — Phase 3: Investigate. Process mapping for existing or greenfield processes, user journey mapping, UX discovery, project goals, system architecture (integration map + data flow). Use after outcome alignment. Triggers on "investigate", "phase 3", "map the process", "process mapping", "user journey", "as-is process", or after Phase R exit checklist is complete.

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。

Work with the Toss Securities Open API for Korean and US stock market data, stock info, exchange rates, market calendars, account and holdings lookups, order history, buying power, sellable quantity, commissions, conditional orders, rankings, trading trends, market indicators, realtime WebSocket integration, and delegated trading workflows. Use when an agent needs to run user-delegated buy/sell/order-management loops, call or build against developers.tossinvest.com, inspect the Toss OpenAPI schema, generate client code, or operate with TOSS_API_KEY/TOSS_SECRET_KEY credentials.

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 board engagement for growth equity investments with meeting cadence, committee design, and information rights. Use when establishing board governance, preparing board materials, or managing investor board relationships.

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。

Coordinates DDQ completion with standardized responses, data room preparation, and reference call management for prospective LPs. Use when responding to LP DD, completing DDQs, or managing investor onboarding processes.

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 pro-rata and follow-on investment decisions with portfolio construction, signaling effects, and reserve management. Use when making follow-on decisions, managing reserves, or evaluating pro-rata rights.

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 platform investment opportunities with industry positioning, management quality, organic growth potential, and add-on runway. Use when evaluating platform deals, screening PE investments, or analyzing industry leaders.

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 timberland and agricultural investments with biological growth rates, harvest economics, and land value appreciation. Use when evaluating timber investments, analyzing farmland, or assessing biological asset 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。

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 critical mineral investments with supply chain mapping, geopolitical risk, and processing infrastructure analysis. Use when evaluating critical minerals, analyzing lithium/cobalt supply, or assessing rare earth 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。

Structures LPA terms with investment period, harvesting period, key person provisions, and investor governance rights. Use when preparing LPA terms, negotiating fund documents, or summarizing partnership provisions.

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 country-level investment risk with political stability, rule of law, corruption indices, and expropriation history analysis. Use when evaluating country risk, assessing political exposure, or scoring sovereign investment environments.

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。

Evaluates seed/anchor investor economics with revenue sharing, fee discounts, capacity reservations, and governance rights. Use when analyzing seed terms, structuring anchor economics, or evaluating founding investor arrangements.

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Monitors LP base composition with concentration analysis, redemption risk, and re-up probability assessment. Use when analyzing investor concentration, assessing re-up risk, or managing LP base diversification.

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。

Investigate datasets and resolve entities using OpenPlanter methodology — cross-reference heterogeneous sources, build Admiralty/ACH confidence-tiered evidence chains, and apply OSINT tradecraft. Triggers on entity resolution, cross-reference datasets, evidence chain, OSINT investigation, structured investigation.

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。

Specialized research and analysis prompt methodology for Claude. Provides 11 tested approaches (3 identity, 4 reasoning, 4 output) for data analysis, policy research, systematic evidence review, investigative research, and research-specific deliverables. Use when building prompts for quantitative data interpretation, evidence-based policy recommendations, literature reviews, causal analysis, hypothesis-driven investigation, or briefing documents. Trigger on: "prompt for data analysis," "research prompt," "policy brief prompt," "literature review prompt," "prompt for investigating," "systematic review prompt," "build a prompt for evidence synthesis," "causal analysis prompt," "briefing document prompt." Also use when user describes a research or analytical task and needs a structured Claude prompt for it. Do NOT use for evaluating existing prompts (use rootnode-prompt-validation if available) or auditing Claude Projects (use rootnode-project-audit if available).

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 intuitive exploration for approaching unknown codebases, problems, or systems without preconceptions. Adapts the Coordinate Remote Viewing protocol to AI investigation: cooldown (clear assumptions), staged data gathering (raw signals → dimensional → analytical), AOL management (separating observations from premature labels), and structured review. Use when investigating an unfamiliar codebase with unknown architecture, debugging a problem where premature hypotheses could mislead, exploring a domain with limited context, or when previous attempts have been led astray by assumptions and "beginner's mind" would be more productive.

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。

Assess an open-source agent framework for investment readiness by evaluating community health, supersession risk, architecture alignment, and governance sustainability. Produces a four-tier classification (INVEST / EVALUATE-FURTHER / CONTRIBUTE-CAUTIOUSLY / AVOID) to guide resource allocation decisions before committing engineering effort.

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。