1.4万 件 ・ 関連度順
概要と使いどころ
Guide founders through operational fundamentals — entity setup, co-founder agreements, IP assignment, banking, bookkeeping, taxes, insurance, and contractor agreements. Phase-based interactive guided process.
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。
Total-loss determination and settlement pricing. Triggers: "total loss valuation", "claims value", "settlement offer", "salvage estimate", "insurance claim pricing", "total loss threshold", "what's the claim worth", "settlement range", "pre-loss value", "diminished value", "total loss determination", insurance claim vehicle valuation, total-loss determination, settlement pricing, or salvage value estimation.
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。
Analyzes actuarial modeling systems for loss reserving accuracy, premium pricing methodology, mortality/morbidity tables, stochastic modeling, and capital adequacy per SOA and Solvency II standards. USE THIS SKILL WHEN: - You need to review or audit actuarial models (reserving, pricing, capital) - Someone asks about loss triangle analysis or reserve adequacy - You are evaluating IBNR calculations, chain ladder methods, or Bornhuetter-Ferguson - A project involves insurance pricing, GLM rating models, or ratemaking - You need to assess Solvency II SCR calculations or RBC compliance - Someone mentions actuarial opinions, ASOP compliance, or SOA standards - You are reviewing stochastic models, ESG configurations, or DFA frameworks - A codebase uses actuarial libraries (chainladder, lifetables, ChainLadder R package) TRIGGER PHRASES: "actuarial", "loss reserving", "IBNR", "chain ladder", "premium pricing", "mortality table", "Solvency II", "capital adequacy", "ratemaking", "GLM pricing", "risk-based capital", "reserve analysis", "actuarial opinion"
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 the Bear EHR database using the semantic layer. Use when asked about clients, billing, appointments, insurance, clinical data, procedures, scheduling, programs, staff, vitals, diagnoses, revenue, claims, or any data question about the Bear application.
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 asks Claude Code to read or write Odysseus data (todos, email, calendar, memory, documents) or to launch/monitor/stop a Cookbook model-serve task through the scoped Claude Agent API. Requires ODYSSEUS_URL and ODYSSEUS_API_TOKEN.
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 asks Codex to read or write Odysseus data (todos, email, calendar, memory, documents) or to launch/monitor/stop a Cookbook model-serve task through the scoped Codex Agent API. Requires ODYSSEUS_URL and ODYSSEUS_API_TOKEN.
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 and audit SaaS billing systems, subscription state machines, secure webhooks, and local database synchronization / Implementasi dan audit sistem billing SaaS, state machine langganan, webhook aman, dan sinkronisasi database lokal.
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。
Expert guide for WebXR spatial computing, Web-based Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR) using Babylon.js and Three.js. Covers Apple Vision Pro, Meta Quest 3, hand tracking, and hit-testing / Panduan ahli WebXR spatial computing (VR/AR/MR).
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。
Expert guide for designing and orchestrating multi-agent systems, agent swarms, 2026 Anthropic agentic design patterns, graph-based workflows (LangGraph, OpenAI Agents SDK, Google ADK, Mastra.ai), shared state memory, and human-in-the-loop guardrails in English and Indonesian.
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。
Expert guide for defending AI applications against prompt injection, jailbreak attacks, indirect injection via tool outputs, and data exfiltration through tool calls — input sanitization, output filtering, canary token detection, and layered defense architecture / Panduan ahli pertahanan aplikasi AI terhadap prompt injection, serangan jailbreak, injeksi tidak langsung via output tool, dan eksfiltrasi data melalui tool calls — sanitasi input, filtering output, deteksi canary token, dan arsitektur pertahanan berlapis.
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。
Expert guide for autonomous API schema drift detection, OpenAPI / gRPC breaking change monitoring, self-healing SDK adapter generation, and zero-downtime client-server synchronization / Panduan ahli deteksi drift skema API otonom, pemantauan breaking change OpenAPI / gRPC, pembuatan adapter SDK self-healing, dan sinkronisasi client-server tanpa downtime.
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。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
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。
Integrate Univer Sheets, Docs, or Slides into React, Vue 3, HTML, or Node.js projects. Use when embedding Univer, choosing preset or plugin mode, initializing instances, configuring themes/locales/workers, or manipulating workbooks, worksheets, ranges, formulas, permissions, and events through the Facade API.
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 a researcher step by step into an unfamiliar research field, or decode a paper, abstract, figure caption, or referee comment they cannot parse. Builds understanding in rungs (motivation, vocabulary, core framework, methods, frontier), anchored to what the user already knows, with a checkpoint before each advance. Use when the user says they are new to a field, asks what a research area or method is, says an explanation was too technical, asks to be walked through something step by step, asks for a reading path, or supplies dense research text. Trigger even when the user only names an unfamiliar field or pastes an abstract without asking to be taught. Do not trigger for a one-line summary, a short overview request, or a direct factual answer; do not use it for translation, editing, search, debugging, or specialist questions inside the user's own field. Also trigger in other languages, including Chinese such as 入门, 一步一步讲, 看不懂, 这篇论文讲什么, 帮我理解这个领域.
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。
Implements the Outbox pattern for reliable domain event processing. Ensures events are persisted in the same transaction as the aggregate changes and processed asynchronously with guaranteed delivery.
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。
Structured code review through the shared OpenClaw agent-skills installation.
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 a reporting pipeline — scheduled reports with SQL queries, delivery via Slack or email, threshold alerts, and historical comparison. Use when asked for "automated reports", "scheduled report", "email digest", or "Slack alerts for metrics".
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。
Design a customer health scoring model — define signals, weights, thresholds, and action triggers. Use when asked to "build health scoring", "how do we predict churn", "what signals indicate a customer is at risk", or "design our health model".
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 indicators of compromise — enrichment, attribution, and response recommendations. Use when asked to "analyze these IOCs", "enrich these indicators", or "what is this hash".
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。
SEO audit and keyword strategy — investigate a site's real search opportunities, shortlist candidates, and recommend the one to three changes most likely to grow organic traffic that converts. Evidence-first — metrics come from a tool or are written as unknown. Use when asked to "improve our SEO", "do keyword research", "audit our SEO", "why aren't we ranking", or "what should we fix first for search".
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。
Document and strengthen company culture - values articulation, team norms, communication protocols, and culture health diagnostics. Use when asked to "define our values", "document how we work", "diagnose culture health", or "write team norms".
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。
Design performance management system - review cycles, calibration process, career ladder, and PIP framework. Use when asked to "build a performance review process", "design career levels", "how do we handle underperformers", or "run a review cycle".
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。
Run human-to-agent migration - audit which roles can be agent-assisted or replaced, design the transition playbook, and manage the offboarding of displaced roles. Use when asked to "which roles can agents replace", "how do we transition to AI-first ops", or "build our agent migration plan".
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。
Design compensation framework - salary bands, equity philosophy, offer templates, and total comp benchmarking. Use when asked to "design our comp bands", "how much equity should we give", "is our comp competitive", or "write an offer template".
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。