598건 · 관련도순
Review charts, diagrams, and dashboards for accessibility, including color contrast, keyboard access, and text alternatives. Get specific guidance for preserving key findings in screen readers, static exports, and reduced-motion views.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Choose metrics for AI product revenue, sales efficiency, retention, and computing costs. Plan dashboards and weekly reviews, assess customer data quality, and decide how to credit marketing and sales interactions for completed deals.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Plan and build frontend interfaces through guided questions, visual references, and agreed design choices. Define colors, typography, and layout before coding, then implement small sections for review, with optional Google Stitch prototyping.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Assess Laravel applications for exposed secrets, accessible dashboards, and authentication or permission flaws. The skill guides checks of debug settings, signed URLs, cookies, and model updates, with validation criteria for understanding the impact of findings.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch. CloudWatch on an already-reporting service: Log Insights, metric/composite/anomaly alarms, custom metrics/EMF, dashboards, X-Ray/ADOT tracing, canaries, CloudTrail, Dynamic Instrumentation (live breakpoints/snapshots), the Application Signals service map, and fleet health views. CloudWatch Omni on an existing Space: SQL over logs and traces, PromQL over metrics, Omni dashboards, Omni alerts, context graph for root cause, programmatic/IaC access (API/SDK/CLI/CloudFormation), driving Omni from a coding agent or skills, and evaluating AI agent quality from traces - on-demand and online scoring of live traffic, readback, custom evaluators. For first-time setup - creating an Omni Space, granting access, ingestion, or ADOT instrumentation for Application Signals (ServiceEvents, CI/CD metadata) or Omni - use setting-up-cloudwatch-observability. Not for app logging or threat detection.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build industrial-grade SCADA/HMI dashboards in MATLAB following industrial-HMI conventions (ISA-101-aligned): gray-field philosophy, alarms at source, write safeguards, fixed-range trends, drill-down layout. Produces a real App Designer app (.mlapp, or plain-text .m+.xml on R2026b+) by handing serialization to the matlab-build-app skill when available, and falls back to a programmatic .m app otherwise. Use when wrapping OPC UA / Modbus / MQTT / OSI PI / PI AF monitoring scripts into a live operator app, building plant overviews, designing operator dashboards, or any time a user asks for a "SCADA dashboard", "HMI", "plant dashboard", "operator screen", or "industrial monitoring app" in MATLAB. Trigger on: SCADA, HMI, industrial dashboard, plant overview, operator screen, uigauge, uilamp, alarm banner, gray-field, ISA-101, OPC UA dashboard, setpoint, write safeguards, alarm visualization, OSIsoft PI, AVEVA PI, PI Server, PI Data Archive, PI AF, PI Asset Framework, piclient, afclient.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AWS CloudWatch monitoring for logs, metrics, alarms, and dashboards. Use when setting up monitoring, creating alarms, querying logs with Insights, configuring metric filters, building dashboards, or troubleshooting application issues.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design and revise Claude Dashboards that people trust and can read at a glance, and handle the comments people leave on them. Use this skill whenever you create, restyle or change a dashboard, answer or act on a dashboard comment (including @Claude mentions in a comment thread), or the user asks for a dashboard to look better, cleaner or more professional. Covers comment etiquette (never resolve comments yourself, reply in short bullets) and visual style following Stephen Few and Edward Tufte.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Jira expert for project setup, workflow design, JQL queries, custom fields, automation rules, dashboards, and reporting. Use for Jira configuration, advanced search, board and dashboard creation, and technical Jira operations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design observability strategies: SLI/SLO frameworks, alerting, and dashboards. Use when instrumenting a production service, tuning alert rules, designing Grafana dashboards, defining SLOs and error budgets, or reducing alert fatigue.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Business intelligence across dashboard design, visualization, and reporting automation. Use when designing dashboards, building KPI frameworks, automating reports, creating data stories, or optimizing BI tool performance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Creates comprehensive dashboard and analytics interfaces that combine data visualization, KPI cards, real-time updates, and interactive layouts. Use this skill when building business intelligence dashboards, monitoring systems, executive reports, or any interface that requires multiple coordinated data displays with filters, metrics, and visualizations working together.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design specifications for effective dashboards. Use when planning new dashboards, improving existing ones, or documenting dashboard requirements before development starts.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Provides AWS CloudFormation patterns for CloudWatch monitoring, metrics, alarms, dashboards, logs, and observability. Use when creating CloudWatch metrics, alarms, dashboards, log groups, log subscriptions, anomaly detection, synthesized canaries, Application Signals, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and CloudWatch best practices for monitoring production infrastructure.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling. Use when creating dashboards, building interactive reports, or generating shareable HTML files with charts and filters that work without a server.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
ACTIVATE when building executive dashboards, tracking business metrics, creating executive scorecards, monitoring organizational KPIs, setting up health metrics, building dashboards for real-time monitoring, or establishing systems to track and measure business performance. Critical for any executive who needs to monitor company health, make data-driven decisions, or track progress toward strategic goals.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Looker Studio (formerly Google Data Studio) expertise. Build dashboards, design data visualizations, connect data sources, and create marketing reports. Use when the user asks about Looker Studio, Data Studio, marketing dashboards, data visualization, report building, or connecting analytics data sources.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert guidance for Evidence, the open-source BI framework that generates beautiful, interactive dashboards from SQL queries and Markdown. Helps developers build data reports as code, deploy them as static sites, and create self-service analytics without heavy BI tools.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build heads-up display (HUD) dashboards for AI coding agents — show context usage, active tools, running sub-agents, and task progress in real-time. Use when: monitoring AI agent activity, building developer tools for AI-assisted coding, creating status dashboards for agent workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Query and manage Grafana dashboards and Prometheus metrics for Happy infrastructure. Covers grafanactl CLI usage, direct Prometheus queries through Grafana proxy, and dashboard-as-code workflows. Use when user asks about metrics, dashboards, monitoring, Grafana, Prometheus, or wants to add/modify panels.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.