「endorsements」の検索結果

Performs contract-driven compliance review of insurance certificates and endorsements against CRE/site-access and vendor agreement requirements. Produces pass/fail/conditional determinations, deficit lists, and broker-ready remediation instructions. Use when reviewing COI packets, ACORD 25 forms, or endorsements for additional insured, primary and non-contributory, waiver of subrogation, completed operations, umbrella alignment, limits adequacy, or insurer rating compliance. Trigger terms: COI, ACORD, additional insured, certificate holder, cancellation notice.

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。

Produces requirement-by-requirement CRE insurance certificate compliance reviews by analyzing ACORD 25 certificates and endorsements against Access Agreement terms. Use when the user mentions COI review, insurance compliance, ACORD 25 analysis, Additional Insured verification, primary/non-contributory status, waiver of subrogation, vendor insurance audit, CGL compliance, umbrella follow-form, broker-ready deficiency instructions, certificate holder vs. additional insured, AI endorsements (CG 20 10, CG 20 37), or carrier rating checks.

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。

Reviews CRE insurance certificates (ACORD 25) and endorsements against Access Agreement insurance requirements, producing a pass/fail compliance determination with broker-ready deficiency instructions. Verifies coverage limits, Additional Insured status, primary/non-contributory language, waiver of subrogation, umbrella alignment, and carrier qualifications. Use when reviewing COIs, ACORD forms, vendor or contractor insurance, site access insurance, or Additional Insured endorsements in commercial real estate transactions.

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 this skill when the user asks about CDL classes (A, B, C), endorsements (H, N, P, S, T, X), required for hazmat / passenger / school bus / tank / triple-trailer operations, what each class is permitted to operate, the TSA Security Threat Assessment for hazmat, and ELDT (Entry-Level Driver Training) requirements. Cite 49 CFR 383.

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。

Check AI-generated marketing content and reviews for required disclosures under the EU AI Act, FTC rules and platform AI-label policies. Use when labelling AI ads, deepfakes, chatbots, influencer posts or testimonials.

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。

NIL (Name, Image, and Likeness) contract analysis for NCAA student-athletes from the athlete's perspective. Use when user says 'review this NIL contract', 'analyze this NIL deal', 'check this athlete agreement', 'review my NIL agreement', or uploads a PDF NIL contract for review. Identifies red flags, missing protections, and compliance issues. Produces a structured review memorandum with negotiation positions. Do NOT use for general contract review, employment agreements, non-NIL endorsements, or brand-side deal 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。

Research and collect social proof — testimonials, case studies, user reviews, social mentions, and community endorsements across platforms. Useful for marketing teams building trust content, landing pages, and sales collateral from authentic customer voices.

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 modifying domain/models/, domain/services/, adaptor/llm/, or any business logic involving insurance terms, coverages, or risk rules. Also use when adding new fields, endorsements, or coverage types.

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。

Produces structured, citation-backed summaries of U.S. insurance policies, endorsements, claims files, and coverage correspondence for coverage analysis and insurance litigation. Use when summarizing policies, declarations, claims files, reservation-of-rights letters, denial letters, or coverage disputes.

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。

Validates certificates of insurance against lease and contract requirements. Compares coverage types, limits, endorsements, and expiration dates field-by-field, flags deficiencies, and generates cure notices.

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 the Elaboration Likelihood Model to design persuasion strategies by matching message type to audience elaboration level. Use this skill when the user needs to craft persuasive communications, choose between argument-based and cue-based messaging, predict attitude durability after a campaign, or when they ask 'why did the message fail to persuade', 'how to change resistant attitudes', or 'should we use data or endorsements'.".

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。