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在更改家庭或小型实验室网络前，梳理设备配置与恢复步骤，分阶段规划和检查VLAN设备隔离、DNS过滤及VPN远程访问。

• 将日常设备与物联网、访客设备隔离
• 规划向DNS过滤的分阶段迁移
• 检查VPN远程访问方案

根据多门店销售数据和商品特征选择需求预测方法，计算安全库存并拟定订货量，同时考虑促销后的需求回落、供应商交期变化及季节性商品的降价时机。

• 为各商品选择需求预测方法
• 交期变化后重新评估安全库存
• 估算促销期间及结束后的需求

Use SAM to separate objects from images by marking points or drawing boxes, without training a model for each task. Covers automatic region generation, refining selections, preparing annotation data, and exporting models for deployment.

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• Extract an object with a transparent background
• Build an interactive image annotation tool
• Generate region masks for vision model training

Analyze time series with aeon, a Python toolkit for data that changes over time. Supports classification, regression, clustering, forecasting, anomaly detection, and pattern search, with guidance on preprocessing, algorithm selection, and evaluation.

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• Classify time series and predict continuous outcomes
• Group time series with similar patterns
• Forecast future values

Investigate attackers moving between internal systems by correlating login records with network traffic. Supports detection rules, suspicious SMB and RDP activity analysis, and reports showing attack timelines, affected hosts, and monitoring gaps.

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• Investigating attacker movement across internal systems
• Creating rules for suspicious authentication patterns
• Tracing affected hosts after a PsExec alert

Contain an active security breach by isolating endpoints, blocking attacker communications, and revoking compromised access. Follow procedures to limit spread between systems, preserve evidence, verify containment, and report remaining risks and business impact.

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• Contain ransomware spreading between servers
• Revoke access through compromised accounts
• Isolate hosts communicating with attacker infrastructure

Assess authorized networks through host discovery, service checks, vulnerability identification, and controlled exploitation. Follow a structured testing process to document attack paths, demonstrate business impact, clean up test artifacts, and prioritize remediation.

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• Assessing internal or external network security
• Validating firewall rules and network segmentation
• Verifying whether service vulnerabilities are exploitable

Conduct authorized WiFi security assessments covering authentication, encryption, rogue access points, and network separation. Test WPA2/WPA3 configurations and client behavior, then document weaknesses, evidence, business impact, and recommended fixes.

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• Assessing corporate, guest, and IoT WiFi security
• Evaluating WPA3 migration and transition mode
• Testing rogue access point detection

Review customer retention and customer success plans through six focused questions. Examine churn causes, customer segments, staffing capacity, hiring, and compensation, then produce a decision report with a verdict and three concrete next steps.

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• Investigating declining customer retention
• Reviewing a proposed customer success team expansion
• Reassessing customer segments and service levels

Plan customer retention and customer success staffing for a startup. Break down renewal and churn patterns, group customers by value and fit, and compare service models to guide resource allocation and hiring.

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• Reviewing retention metrics and reasons for churn
• Allocating support investment across customer tiers
• Estimating customer success staffing needs

Analyze Mixpanel data with Python to explore usage trends, conversion steps, returning users, and differences between user groups. Also manage business context documents that explain an organization's structure and goals to AI assistants.

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• Find where users drop out before purchasing
• Compare retention across user groups
• Explore feature usage and revenue trends

Practice spoken answers to product manager interview questions about designing or improving products. Follow six steps to clarify assumptions, choose users, prioritize a problem, and compare solutions before selecting an MVP, a first version with limited scope.

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• Practicing answers to product improvement interview questions
• Preparing for product design interview questions
• Turning scattered ideas into a clear spoken answer

Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging.

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Domain routing and boundary guidance for authorized network-layer security testing, including exposed services, protocol downgrade, man-in-the-middle risks, and segmentation bypasses. Use when a task belongs to the network testing domain and needs scope, evidence, pivot, or exit criteria.

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World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.

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Computational pathology toolkit for analyzing whole-slide images (WSI) and multiparametric imaging data. Use this skill when working with histopathology slides, H&E stained images, multiplex immunofluorescence (CODEX, Vectra), spatial proteomics, nucleus detection/segmentation, tissue graph construction, or training ML models on pathology data. Supports 160+ slide formats including Aperio SVS, NDPI, DICOM, OME-TIFF for digital pathology workflows.

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This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

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Data-backed email marketing skill for AI agents. Use when building or running email automation, driving an ESP from an agent (MCP/connectors), diagnosing deliverability, writing or de-slopping email copy, directing AI email design, choosing a platform, or pulling benchmarks. Covers flows, segmentation, compliance, cold email, WhatsApp, SMS and RCS, and 19 industry playbooks.

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Automate Mixpanel tasks via Rube MCP (Composio): events, segmentation, funnels, cohorts, user profiles, JQL queries. Always search tools first for current schemas.

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How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2d_cv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT engine build, deployment, and a segmentation-capable model addendum handoff.

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Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and checkpoint evidence. Uses softmax for predefined, mutually exclusive classes; keeps the standard workflow when point prompts or runtime-variable classes are needed. Not for clinical validation.

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Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.

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Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.

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Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.

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