'traffic' 검색 결과

Use Nexscope (Search Intelligence Framework) data to analyze ASIN traffic source composition and exposure distribution, covering current period/previous period/newly entered/exited period comparisons. Trigger when the user mentions ASIN traffic sources, traffic structure analysis, organic traffic vs paid traffic share, exposure score breakdown, period comparison, new/exited traffic keywords, competitor traffic analysis, SP ad keyword count, brand ad exposure, Amazon's Choice exposure, editorial recommendation exposure, Top Rated exposure, video ad exposure, organic search exposure ratio, PPC traffic sources, promotional deal traffic sources, recommendation slot structure breakdown, ASIN traffic analysis, traffic sources, organic traffic share, ad traffic share, exposure analysis, traffic structure, period-over-period comparison, keyword churn, Nexscope. Even if the user does not explicitly mention "Nexscope", if their need involves analyzing an ASIN's traffic sources, exposure channel distribution, cross-period comparison, or competitor traffic structure comparison, this skill should also be triggered.

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Adjust how autopilot vehicles behave in CARLA, including speed, following distance, traffic light responses, and lane changes. Apply settings across traffic or to individual vehicles, and configure seeds and synchronization for repeatable traffic runs.

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• Adjust traffic speed and following distance
• Create traffic that ignores lights or other vehicles
• Change lane behavior for an individual autopilot vehicle

Analyze website traffic, global rank, engagement metrics, and traffic sources for any domain. Use this skill to evaluate affiliate program websites, compare competitor traffic, assess advertiser strength, or understand where an audience comes from. Triggers on: "analyze traffic for [domain]", "how much traffic does [site] get", "compare traffic between [site A] and [site B]", "is [program] worth promoting based on traffic", "traffic analysis", "website analytics for [domain]", "where does [site] get traffic", "check if [advertiser] is legit", "evaluate [program] website health", "SimilarWeb analysis", "traffic sources for [domain]", "how popular is [site]", "website rank", "domain authority check", "compare affiliate program websites".

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Break down all competitor ASIN traffic sources under a given keyword -- organic search, SP ads, SB brand ads, SBV video ads, SP recommendations, AC/ER/TR recommendation slots, with support for ASIN filtering, custom date ranges, and new traffic keyword filters. Trigger when the user mentions keyword traffic sources, which competitors are grabbing traffic under this keyword, organic traffic vs paid traffic share, SP ad exposure, brand ad share, SP recommendation slots, recommendation ad/non-ad split, search display analysis, Amazon's Choice or editorial recommendation exposure, keyword competitive landscape, ASIN traffic composition, keyword traffic, traffic structure analysis, search share, ad share, traffic source distribution, Nexscope, traffic analysis, SP recommendation, recommend position breakdown. Even if the user does not explicitly mention "Nexscope", if their need involves analyzing competitor ASIN traffic source distribution under a keyword, this skill should also be triggered.

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Control traffic lights in a running CARLA simulation. Change their color, switch them off, hold a fixed state, adjust phase durations, or restore normal cycling, targeting individual lights, junctions, nearby lights, or the whole map.

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• Holding every traffic light green
• Setting one junction's lights to red
• Shortening traffic-light cycles

When the user wants to analyze website traffic sources, attribution, or dark traffic. Also use when the user mentions "traffic sources," "dark traffic," "direct traffic," "UTM parameters," "traffic attribution," "channel attribution," "attribution optimization," "channel analysis," "traffic analysis," "traffic diversification," "natural traffic benchmark," or "organic vs paid traffic." For GA4 setup, use analytics-tracking.

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Diagnose organic traffic changes (drops, stalls, or unexpected wins) using Ahrefs MCP plus Search Console data. Use this skill when traffic suddenly dropped, has been flat despite investment, after an algorithm update, after a migration or deploy, or when a competitor seems to be taking share. Triggers on traffic dropped, traffic decline, traffic stalled, organic decline, lost rankings, why is traffic down, algorithm update, post-migration traffic loss, traffic diagnosis. Also triggers when stakeholders are panicking about an organic traffic number they cannot explain. A panic about tracking, event, or dashboard setup is a measurement problem, not a traffic problem: route those to `analytics-strategy`.

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Query traffic keyword lists for an Amazon ASIN via Nexscope, including traffic source type, conversion type, organic rank, and ad rank with historical month and multi-dimensional sorting. Trigger when user mentions ASIN reverse traffic keywords, traffic keyword list, keyword traffic structure, organic/ad keyword analysis, keyword conversion type, Nexscope traffic keyword, Amazon traffic keywords, reverse ASIN keywords — even if "Nexscope" is not explicitly mentioned, as long as the need involves viewing keyword traffic sources and keyword lists for a specific ASIN.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Configure how traffic moves between services in Istio, a system for managing service communication. Includes routing, load balancing, gradual releases, retries, failure isolation, copied traffic for testing, and commands for inspecting configuration.

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• Send a small share of traffic to a new service version
• Configure retries, timeouts, and failure isolation
• Copy traffic to a test environment

Read and change a running CARLA server’s timing, physics substeps, and rendering settings. Switch between client-controlled steps and automatic progression, keep Traffic Manager synchronization aligned, and read back the settings to verify each change.

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• Setting a fixed simulation rate for sensor capture
• Keeping Traffic Manager aligned with synchronous mode
• Disabling rendering or adjusting physics substeps

When the user wants to track AI search traffic in GA4 or GSC. Also use when the user mentions "AI traffic," "ChatGPT referral," "Perplexity traffic," "AI Overviews," "GA4 AI sources," "AI search analytics," "track AI referrals," "AI search traffic," "Claude traffic," or "how to track AI traffic." For AI SEO strategy, use generative-engine-optimization.

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Build intermediary servers for authorized security exercises, separating public traffic from the command server used by the test team. It covers simple forwarding, request filtering with nginx or Apache, TLS certificates, and validation against the exercise’s traffic profile.

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• Separating public infrastructure from an exercise command server
• Filtering exercise traffic against a defined profile
• Adding TLS certificates to a redirector

Examine captured network traffic for hidden malware communications in DNS, ICMP, and HTTP. Analyze domain patterns, packet sizes, and traffic frequency to identify suspicious channels used for remote control or data theft.

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• Investigating suspicious DNS, ICMP, or HTTP traffic
• Hunting for hidden malware control channels in packet captures
• Assessing possible data theft through unusual network traffic

Investigate captured network traffic and connection records with Wireshark, Zeek, and NetFlow analysis. Identify communications with attacker infrastructure, trace movement between internal systems, estimate data transfers, and produce findings linked to packet evidence and timestamps.

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• Investigating suspicious periodic connections
• Measuring the volume and destination of data transfers
• Tracing attacker movement between internal systems

Investigate Google Cloud network problems using traffic logs, performance metrics, and connection path tests. Identify blocked traffic, packet loss, and latency, summarize traffic volumes, or estimate VPC Flow Logs costs.

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• Investigate blocked traffic and packet loss
• Check latency and throughput trends
• Analyze Cloud NAT port exhaustion

Populate a running CARLA simulation with autonomous traffic, evenly spaced vehicles in one lane, or a single vehicle for control and sensors. Filter vehicle models, keep automated driving active, and remove vehicles when the scene is finished.

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• Fill a map with autonomous traffic
• Place vehicles at fixed intervals in one lane
• Create an ego vehicle for control and sensors

Test Android and iOS apps by capturing real app traffic and checking backend APIs. When traffic is blocked or cannot be replayed, use decompilation and runtime inspection to uncover endpoints, inspect secrets, or understand request signing.

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• Capturing mobile app traffic and testing backend APIs
• Finding hidden API endpoints and embedded credentials
• Investigating certificate pinning that blocks traffic inspection

Set up and run wireless network simulations using the Wireless Network Toolbox. Use this skill when creating system-level simulations with wirelessNetworkSimulator, adding traffic sources (networkTrafficOnOff, networkTrafficFTP, networkTrafficVoIP, networkTrafficVideoConference), configuring node mobility, logging events or IQ samples, visualizing traffic, scheduling actions during simulation, running parametric sweeps, writing PCAP files with pcapWriter or technology-specific PCAP writers, registering event callbacks on wireless nodes, accessing event data fields, or combining multiple capture/visualization tools in a simulation.

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AIS 선박 자동 식별 시스템 데이터로 지정 해역의 특정 시점 선박 위치를 확인합니다. 유조선 정보와 해상 교통 혼란 또는 활동 은폐 후보도 조회합니다.

• 지정 해역에 있는 선박 확인
• 호르무즈 해협 주변 유조선 위치 조사
• 해상 교통 혼란 후보 조사

Analyze Modbus industrial network traffic to identify unauthorized commands, write operations, and unusual polling intervals. Compare activity with normal traffic patterns and allowed operations, then report anomalies by type and severity.

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• Investigating suspicious Modbus traffic
• Establishing normal polling patterns
• Defining allowed Modbus function codes

Inspect DNP3 traffic, a communication protocol used in industrial control systems, for unauthorized sources and unexpected commands. The skill compares captured traffic with normal patterns and reports suspicious control actions, restarts, and file operations.

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• Investigating suspicious DNP3 control commands
• Checking substation traffic against normal patterns
• Preparing DNP3 intrusion detection rules

Analyze malware network captures to investigate command-and-control traffic, data theft, and downloaded files. Use packet analysis tools to identify suspicious destinations and recurring connections, extract artifacts, and create detection rules from observed patterns.

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• Analyzing malware sandbox network captures
• Investigating command-and-control traffic
• Tracing data theft and file downloads

Use Scapy, a Python library for working with network packets, to inspect saved captures or authorized live traffic. Summarize protocols and connections, identify suspicious patterns, craft test packets, and export findings as structured JSON reports.

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• Investigating saved network captures
• Summarizing traffic volumes, protocols, and connection endpoints
• Checking for SYN floods and DNS data leakage indicators

Analyze Google Analytics traffic, visitor engagement, and conversions, such as purchases or goal completions. Compare periods, identify strong and weak pages or traffic sources, and receive prioritized recommendations with implementation guidance.

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• Reviewing website performance over the last 30 days
• Identifying the main traffic sources
• Finding pages with high bounce rates