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Found 413 Skills
Production server monitoring stack covering Prometheus, Node Exporter, Grafana, Alertmanager, Loki, and Promtail on bare-metal or VM Linux hosts. USE WHEN: - Setting up monitoring for a new production server or VPS - Configuring Prometheus scrape targets for application or system metrics - Creating Grafana dashboards and datasource provisioning - Writing Alertmanager routing rules with email/Slack notifications - Implementing the PLG stack (Promtail + Loki + Grafana) for log aggregation - Performing live system diagnostics with htop, iotop, nethogs, ss, vmstat, iostat - Setting up uptime monitoring with UptimeRobot or healthchecks.io DO NOT USE FOR: - Kubernetes-native observability (use the kubernetes skill instead) - Application-level APM (distributed tracing with Jaeger/Tempo — use observability skill) - Cloud-managed monitoring (CloudWatch, GCP Monitoring, Azure Monitor) - Windows Server monitoring
Low-Code Generation uses AI to produce forms, tables, dashboards, and workflow UIs from natural language descriptions or schema definitions.
Klipfolio integration. Manage Dashboards, Users, Teams. Use when the user wants to interact with Klipfolio data.
MDV — Markdown superset for documents, dashboards, and slides with embedded charts, KPI stats, and data visualizations exported to HTML or PDF.
Qualtrics XM platform help — CX surveys (NPS/CSAT/CES), Employee Experience (EX) pulse surveys, Strategy & Research, Experience Agents AI, XM Directory, dashboards, REST API v3, MCP servers. Use when surveys aren't getting responses, dashboards won't show the right data, API calls return errors, you're setting up Qualtrics for the first time, confused by XM Directory contact management, need to export response data, comparing Qualtrics vs Medallia, or Qualtrics is too complex and you need guidance. Do NOT use for general NPS/CSAT strategy across tools (use /sales-customer-feedback) or product review collection like Trustpilot or G2 (use /sales-customer-reviews).
Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1. User explicitly requests to build a data dashboard, data application, or visualization UI, and the UI pulls data from a GCP database (defaulting to BigQuery unless otherwise specified). 2. You need to generate a frontend web application to interact with, query, and visualize data from GCP data sources. 3. User wants to build a "chat with your data" experience or integrate the Gemini Data Analytics chat API into a web interface. Do NOT use when any of the following conditions are true: 1. The request is for building backend-only services. 2. The request is for simple CLI scripts or command-line applications. 3. The web application is not data-centric or does not involve visualizing/querying data from GCP sources.
Implement Syncfusion React Linear Gauge for displaying measurements on a linear scale. Use this skill when users need temperature sensors, KPI indicators, progress gauges, or real-time monitoring dashboards. Covers axes configuration, pointer types, ranges, annotations, customization, animations, print/export, accessibility, and internationalization.
Use this skill whenever the user wants to build, scaffold, modify, debug, or ship a web application, including React/Vite/Next.js/Vue/Svelte apps, full-stack prototypes, dashboards, landing pages with interactivity, games, admin panels, CRUD apps, API-backed UIs, authentication flows, database-connected apps, or when they say things like "build a web app", "make a frontend", "create a SaaS prototype", "turn this idea into an app", "搭建 Web 应用", "做一个网站应用", or "帮我开发前端". This skill should trigger even if the user does not explicitly mention a framework, because it guides framework selection, project structure, implementation, testing, live preview, and Git commits after each working slice.
Track and analyze e-commerce sales performance across platforms. Set up KPI dashboards, trend analysis, and performance alerts to catch issues and opportunities early.
Build interactive financial KPI dashboards with customizable metrics, drill-down analysis, variance explanations, and automated threshold-based alerting
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data using Python, SQL, and Streamlit
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice.