顧客の年齢・年収・プロフィールに基づき、最適な自動車保険プランを提案する。
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顧客情報（年齢・年収・家族構成・ニーズ）をもとに、最適な自動車保険プランを提案する。
recommend.py を呼ぶ前に、車種区分（普通車/軽自動車/SUVなど）と車齢が顧客から得られていること。不明な場合はこのスキルを呼ばずに先に顧客へ質問するcustomer_context）に含まれている。必ずコンテキストの実値を使うこと
annual_income: 0 は禁止。コンテキストに値がある場合は必ずその値を渡すcustomer_context.annual_income は文字列で格納されている（例: "5500000"）。スクリプトに渡す際は整数に変換すること（例: 5500000）customer_context.age も同様に文字列の場合がある。整数に変換して渡すこと{"customer_id": "C001", "age": 35, "annual_income": 6000000} ← 正しい（整数）{"customer_id": "C001", "age": "35", "annual_income": "6000000"} ← 文字列のまま渡すのは誤り{"customer_id": "C001", "age": 35, "annual_income": 0} ← 禁止（0は誤り）scripts/recommend.py を呼び出し候補プランを取得する| プラン | 月額保険料 | 保障内容 | 特徴 |
|---|---|---|---|
| {商品名} | {金額}円 | {保障の概要} | {特徴} |
activity_log_writer を 呼び出さないscripts/recommend.py — 条件に合うプラン一覧の取得
--age（必須）, --annual_income（必須）, --customer_id（任意）のみ--vehicle_type, --vehicle_age, --preferences 等の引数は存在しない。渡すと exit code 2 で失敗するため絶対に渡さないことdemo_app/data/products.csvdemo_app/data/contracts.csvreferences/RECOMMENDATION_RULES.mdNo reviews yet. Tell others what you thought.
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Complete architecture reference for the A3 insurance platform — file locations, data flow, conventions, microservice map, and fullstack patterns
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Drafts U.S. commercial real estate access and indemnity (right-of-entry) agreements for pre-closing due diligence. Covers license grants, non-invasive vs invasive testing gates, insurance/endorsement requirements, indemnity with discovery carve-outs, restoration and lien remedies, confidentiality, and anti-indemnity guardrails. Trigger: access agreement, right of entry, due diligence access, Phase I/II, invasive testing, pre-PSA site inspection.
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当用户需要对意外险投保问卷进行专业、结构化的核保审查，提取职业类别、工作环境、作业内容、危险活动参与情况、交通出行习惯、特殊工作暴露及其他可能影响意外险承保判断的高风险信息，并生成适合意外险核保、补问流转和风险分层处理的结构化分析结果时使用本 skill。
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Inspect, schema, and fill true AcroForm PDFs using sciClaw's pdf_form_inspect, pdf_form_schema, and pdf_form_fill tools. Use when: (1) checking whether a PDF is a real fillable AcroForm, (2) listing form field names, types, and choices, (3) filling a supported form from structured values, (4) preparing reviewable insurance, legal, administrative, or clinical form drafts, (5) reporting skipped fields or unused input keys after a fill. Do not use for scanned PDFs, OCR tasks, or XFA-only forms.
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Guide actuarial analysis for insurance pricing. TRIGGERS - Use when user needs help with actuarial-analysis related tasks.
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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"
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