「valuation」の検索結果

Manages Neo4j Aura Agents via the v2beta1 REST API — create, list, get, update, delete, and invoke Aura agents backed by an AuraDB instance. Use when configuring Aura Agent tools (CypherTemplate, SimilaritySearch, Text2Cypher), setting system prompts, deploying agents to REST or MCP endpoints, invoking agents with natural language queries, or generating evaluation datasets (max 50 questions) for the Aura Agent evaluation feature. Covers OAuth2 auth, organization/project scoping, tool parameter schemas, and InvokeAgentResponse format. Does NOT cover AuraDB instance provisioning — use neo4j-aura-provisioning-skill. Does NOT cover vector index creation — use neo4j-vector-index-skill.

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Write, run, and analyze structured test suites for Agentforce agents — functional AND security. TRIGGER when: user writes or modifies test spec YAML (AiEvaluationDefinition); runs sf agent test create, run, run-eval, or results commands; asks about test coverage strategy, metric selection, or custom evaluations; interprets test results or diagnoses test failures; asks about batch testing, regression suites, or CI/CD test integration; requests security testing, OWASP LLM Top 10, red-teaming, penetration testing, prompt-injection tests, a security grade, or a vulnerability assessment of an agent. DO NOT TRIGGER when: user creates, modifies, previews, or debugs .agent files (use agentforce-generate); deploys or publishes agents; writes Agent Script code; uses sf agent preview for development iteration; analyzes production session traces (use agentforce-observe); performs a static safety review of .agent file content (use agentforce-generate Section 15).

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Used to invoke the PXMeter tool for rigorous quality assessment of biomolecular structure prediction models (e.g., proteins, nucleic acids, small molecules). This skill covers single-sample CIF evaluations and large-scale dataset benchmarks, providing rich result parsing support. Trigger this skill when the user asks to "run PXMeter", "compare PDB/CIF evaluation results of different tools", "check benchmark scores", or asks "how accurate is the structure generated by the model".

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Designs and runs reproducible evaluations for AI agents, prompts, tools, skills, and model-backed workflows using realistic datasets, isolated baselines, objective assertions, rubric grading, trajectory analysis, cost/latency tracking, and regression comparison. Use when measuring agent quality, optimizing skill triggering, comparing prompts or models, or gating an AI feature release. Not for ordinary deterministic unit tests.

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AI Agent Workflow & Skill Architecture Guide — turn expert work into measurable, reusable agent systems. Covers workflow discovery, skill decomposition, harness design, evaluation, human escalation, observability, cost control, and multi-agent orchestration. Includes a measured marketing-delivery case: 15 people × 3–4 weeks reduced to one strategist + AI in 5 days. By Gingiris.

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🇺🇸 KOL Outreach & Influencer Marketing Playbook — Complete SOP from discovery to ROI tracking. Battle-tested with 200+ KOL campaigns at AFFiNE (60k stars). Includes pricing benchmarks, email templates, content packages, platform algorithm guides, and data-driven evaluation frameworks. 🇨🇳 KOL 外联与红人营销实战手册 — 从发现筛选到 ROI 追踪的完整 SOP。基于 AFFiNE（60k stars）200+ 次 KOL 合作实战验证。包含报价基准、邮件模板、内容包模板、各平台算法指南、数据评估体系。 🇯🇵 KOLアウトリーチ＆インフルエンサーマーケティング実践ガイド — 発見からROI追跡までの完全SOP。AFFiNE（60k stars）での200回以上のKOLキャンペーン実績。価格ベンチマーク、メールテンプレート、コンテンツパッケージ、プラットフォームアルゴリズムガイド。 🇰🇷 KOL 아웃리치 & 인플루언서 마케팅 플레이북 — 발굴부터 ROI 추적까지 완전한 SOP. AFFiNE(60k stars) 200+ KOL 캠페인 실전 검증. 가격 벤치마크, 이메일 템플릿, 콘텐츠 패키지, 플랫폼 알고리즘 가이드. Triggers: "KOL outreach" | "influencer marketing" | "KOL campaign" | "influencer outreach" | "creator partnership" | "KOL strategy" | "red人" | "红人营销" | "KOL合作" | "达人合作" | "influencer pricing" | "KOL ROI" | "content creator outreach" | "KOL筛选"

Value insurance agencies. TRIGGERS - Use when user needs help with insurance-agency-valuation related tasks.

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Transforms Claude into a CFA-level financial analyst for specialty finance, regulatory compliance, and industry-specific analysis. Use when performing private credit pricing, insurance reserving, FP&A variance analysis, wealth planning, restructuring recovery analysis, real estate valuation, venture capital analysis, ESG assessment, regulatory capital analysis (Basel III), compliance reporting (MiFID II, GIPS), credit derivatives (CDS, CVA), convertible bond analysis, lease accounting (ASC 842/IFRS 16), pension funding/LDI, sovereign risk assessment, real option valuation, equity research (SOTP, target price), commodity spread trading, treasury operations, PPP infrastructure modelling, onshore fund structuring, offshore fund structuring, transfer pricing analysis (BEPS, Pillar Two), tax treaty optimisation, FATCA/CRS compliance, economic substance analysis, regulatory reporting (AIFMD, Form PF), AML/KYC compliance, crypto/DeFi analysis, municipal bond analysis, structured products, trade finance, fund of funds (J-curve, commitment pacing, manager selection, secondaries), bank analytics (NIM, CAMELS, CECL, deposit beta, loan book), carbon markets (credit pricing, ETS, CBAM, offsets, shadow carbon price), or private wealth (concentrated stock, philanthropic vehicles, wealth transfer, direct indexing, family governance) analysis is required. Pairs with corp-finance-mcp tools for computation.

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。

Evaluate cyber insurance policies and coverage. TRIGGERS - Use when user needs help with cyber-insurance-evaluation related tasks.

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 cyber insurance evaluation with coverage assessment, limit adequacy, and claims scenario analysis. Use when evaluating cyber coverage, analyzing policy terms, or assessing cyber insurance adequacy.

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。

Systematic evaluation of arguments for structure, validity, soundness, and charitable interpretation. Covers premise identification, conclusion extraction, argument mapping, steel-manning, and the distinction between validity (form) and soundness (form plus true premises). Use when assessing an argument, reconstructing an opponent's position fairly, or preparing a rebuttal.

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LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.

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Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.

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。

当用户在评估一只股票"便不便宜"、纠结该不该基于PE/PB做买卖决策、 或试图用DCF公式精算企业价值时，激活此skill。 核心判断信号：用户提到"估值""PE多少倍""DCF模型""算一算值多少钱"， 或在纠结"这个价格能不能买"。 此skill将估值从数学计算还原为商业判断——用"未来现金流折现"作为思维 方式而非公式，通过"毛估估"判断是否明显便宜，以"封仓十年"的视角检验 理解深度，用E/E替代PE以纳入负债影响。 不适用于：需要精确估值建模的场景（如并购定价）、短期交易择时、 无法产生现金流的资产（如加密货币）。

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Analyzes event-driven opportunities with catalyst identification, pricing efficiency assessment, and risk/reward evaluation. Use when analyzing event-driven situations, evaluating catalysts, or assessing event timing.

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Structures interest rate hedging programs with swap analysis, cap/floor evaluation, and hedge accounting documentation. Use when designing rate hedges, comparing hedging instruments, or analyzing hedge effectiveness.

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Processes LP interest transfer requests with GP consent evaluation, ROFR administration, and transfer documentation requirements. Use when managing LP transfers, evaluating transfer requests, or coordinating interest assignments.

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Tracks infrastructure asset performance with maintenance planning, capital expenditure optimization, and end-of-life valuation. Use when managing infrastructure portfolios, planning capex, or evaluating asset condition.

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Assesses conglomerate break-up activism with segment valuation, separation feasibility, and tax-free qualification analysis. Use when evaluating SOTP activism, analyzing break-up proposals, or modeling separation value.

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Assesses spin-off equity with forced selling dynamics, orphaned security identification, and standalone valuation analysis. Use when evaluating spin-off investments, identifying forced-sell situations, or analyzing newly public entities.

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Assesses startup viability through business model canvas analysis, unit economics validation, and market timing evaluation. Use when evaluating startup pitches, analyzing business model sustainability, or assessing product-market fit.

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Evaluates mineral and hydrocarbon reserves with classification methodology, resource conversion rates, and valuation per unit analysis. Use when analyzing reserve reports, validating resource estimates, or assessing depletion profiles.

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Structures customer diligence with interview guides, NPS analysis, switching cost assessment, and usage pattern evaluation. Use when conducting customer references, validating product-market fit, or assessing customer satisfaction.

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 technology diligence with architecture review, code quality assessment, scalability analysis, and technical debt evaluation. Use when evaluating startup technology, assessing engineering teams, or reviewing technical infrastructure.

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。