「valuation」の検索結果

Identify, score, and prioritize Salesforce AI use cases before any implementation begins — opportunity identification, Impact-Effort matrix scoring, feasibility evaluation across Technical/Operational/Data/Risk dimensions, and ROI framing. NOT for the license checks and enablement steps once a use case is approved — use agentforce/agentforce-service-ai-setup or agentforce/agentforce-sales-ai-setup. NOT for making the data model AI-ready — use architect/ai-ready-data-architecture.

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Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.

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AI นักวิเคราะห์ทางการเงิน — DCF Valuation, Financial Model, Investment Memo, Equity Research, Ratio Analysis

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Franchise Owner Playbook — franchise evaluation, SOP, multi-unit operations, franchisor relationship, ROI analysis สำหรับเจ้าของแฟรนไชส์ไทย

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Influencer marketing AI — brief, pitch, rate evaluation, performance review แบบ data-driven

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Use before evaluations or after roster churn to resolve live policy versions and restore the champion flag.

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Use when monitoring Crewrift evaluations, rounds, or rankings across turns with a persistent poller.

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。

Verify a native LLM voting advisor before trusting advisor-sensitive evaluations.

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 classifying a stuck, failed, empty, or zero-scoring evaluation as infrastructure or policy failure.

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Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles

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Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis, hedging strategies, load profiling, and sustainability reporting frameworks. Use when procuring energy, optimizing tariffs, managing demand charges, evaluating PPAs, or developing energy strategies.

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Use when a task explicitly creates or improves an MCP server and needs a safe implementation and evaluation workflow

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Auto-assembles a domain-specific expert panel (7–10 experts), scores any content or strategy artifact against a typed rubric, and iterates until the aggregate hits 90+ (max 3 rounds). Use as a quality gate on copy, email sequences, landing-page drafts, strategy docs, charts, titles, or recruiting evaluations — or when another skill needs a final review gate on its output. Triggers on "expert panel this", "score this", "rate these variants", "quality check this", "panel review", "expert score", "evaluate this copy/strategy/page". For variant generation and multi-round conversion optimization see autoresearch; for live-URL CRO auditing see conversion-ops; for the scripted content-production pipeline see content-pipeline.

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Build high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Covers design principles, architecture, implementation patterns, and evaluation-driven development.

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6 production-ready AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.

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Scope, preregister, execute, audit, normalize, and publish GEODE evaluations with research-question, reproduction, attempt-lineage, trajectory, verifier-receipt, and immutable artifact contracts. Use for benchmark runs or comparisons, eval-artifact and cache-accounting audits, GPT or subscription result normalization, research question or hypothesis framing, retry diagnosis, trajectory publication, DPO or reward-data readiness reviews, and requests involving MCPMark, tau2, BFCL, Agent-World, HAL, Terminal-Bench, or Toolathlon.

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Ground GEODE design and evaluation work in Stanford CS329A Parts 2 and 5. Use for test-time compute, planning, multi-step reasoning, deep research, LATS, independent subplans, best-of-N, repair depth, measurement replication, verifier authority, and GEODE/Eco²/SIL/Crucible comparisons.

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Drafts U.S. Customs and Border Protection binding ruling requests under 19 CFR Part 177 for tariff classification, valuation, origin, and marking determinations. Trigger when input mentions "binding ruling," "CBP ruling request," "19 CFR Part 177," "classification request," "HTSUS analysis," "transaction value," "country of origin," or "marking for import."

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Produces an attorney-ready memo from a corpus of legal documents supplied by the user. Use when a user shows up with a folder, zip, or vault of case documents and asks for a case summary, case evaluation, litigation package, intake memo, matter overview, or "can you summarize this case for me." The skill ingests the corpus into a searchable index, OCRs anything non-searchable, inventories and diagnoses the practice area, loads the appropriate practice-area playbook module(s) (PI/tort, commercial litigation, IP infringement, or user-authored extensions), iteratively searches the corpus across eight core dimensions plus any module-specific dimensions, defers specialized document clusters (depositions, medical records, discovery, liens) to dedicated sibling skills, and synthesizes a cited memo.

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Generates a structured attorney work product memorandum from an initial client consultation for commercial litigation. Extracts verifiable facts from uploaded documents, builds a chronological narrative, identifies parties and contracts, flags preliminary legal claims and defenses, and produces a prioritized action plan. Triggers at matter intake when a business client needs a foundational case evaluation document for a pre-filing commercial dispute.

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Drafts filing-ready proofs of claim for U.S. bankruptcy proceedings using Official Form B 410 under FRBP 3001. Handles secured, unsecured priority, and general unsecured claims with proper valuation, documentation, and bar date compliance. Use when a creditor needs to file or amend a proof of claim in a bankruptcy case.

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AI-powered bank compliance and regulatory review assistant - screen marketing materials, KYC documents, AML alerts, and NFRA/CBIRC compliance checks. Updated for 2025-2026 regulations including 商业银行资本管理办法 (Basel III China 2024), 消费者权益保护规定升级, FATF mutual evaluation 2025, and 反洗钱法修订. Keywords: bank compliance, KYC, AML, regulatory review, NFRA, Basel III, China banking, 合规审查, 合规审核, 监管合规, 反洗钱, KYC尽调, 客户身份识别, 受益人识别, 制裁筛查, 交易监控.

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当AI智能体完成一段法律推理或论证后，需要对该推理结论进行自我评估，判断论证的整体强度与置信度，识别并标注推理链条中的薄弱环节。 触发条件包括但不限于： - 完成法律分析后需要给出结论可靠性评级 - 用户明确要求评估某一论证的说服力或可靠性 - 存在多个竞争性法律解释需要比较论证强度 - 推理过程中涉及不确定因素（事实不明、法律空白、争议观点）需要标注 - 为决策者提供风险提示，说明结论的局限性 - 对己方或对方的法律论证进行攻防强度评估 - 在法律意见书、备忘录等文书中需要附加置信度说明

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Deep multi-source technical research with citations — tech evaluation, ecosystem/standards comparison. NOT for API docs (mk:docs-finder), codebase discovery (mk:scout), or project Q&A (mk:ask-me).

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。