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Found 440 Skills
Build custom backends and widgets for OpenBB Workspace. Use when user wants to create an OpenBB app, convert Streamlit/Gradio apps, or build dashboards. Handles the full pipeline from requirements to deployment.
Эксперт executive dashboards. Используй для KPI визуализации, business intelligence и reporting.
Use this skill when implementing logging, metrics, distributed tracing, alerting, or defining SLOs. Triggers on structured logging, Prometheus, Grafana, OpenTelemetry, Datadog, distributed tracing, error tracking, dashboards, alert fatigue, SLIs, SLOs, error budgets, and any task requiring system observability or monitoring setup.
Implements Syncfusion JavaScript chart controls (Line, Area, Bar, Column, Pie, Polar, Radar, Waterfall, Stock). Use when building interactive data visualizations, dashboards, or real-time charts. Covers series and axes configuration, styling, animations, exporting, and technical indicators. Works with TypeScript (webpack/modules) and JavaScript (CDN/ES5).
Install and run a local quota reporter that probes Codex quota windows plus Claude CLI usage metadata, posts the latest status to a shared dashboard, and sets up an hourly scheduled run. Use this whenever a teammate wants to join the shared quota dashboard, report their own Codex or Claude usage, install the hourly reporter, or verify that reports are reaching the shared service. Trigger on requests about Codex quota, Claude CLI usage, token usage, usage monitoring, hourly usage reporting, shared quota dashboards, Vercel quota dashboards, or Turso-backed quota collection.
Builds, configures, debugs, and optimizes AWS observability using CloudWatch (Logs Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT. Covers Log Insights query syntax (fields, filter, stats, parse, pattern, join, subqueries), alarm configuration (metric, composite, anomaly detection, missing data treatment), dashboard design, custom metrics (PutMetricData, EMF, metric filters), X-Ray tracing (ADOT, sampling rules, annotations vs metadata), ADOT collector config, and CloudTrail auditing. Use when the user mentions CloudWatch, Log Insights, alarms, INSUFFICIENT_DATA, dashboards, custom metrics, EMF, X-Ray, traces, sampling, CloudTrail, who deleted, ADOT, OpenTelemetry, observability, monitoring, synthetics, canaries, or troubleshooting alarm behavior. Do NOT use for application logging setup, container log drivers, or security threat detection.
Programmatic video creation with React. Useful for branded explainers, social cuts, dashboards-to-video, and reproducible motion graphics.
Build and deploy a Coralogix dashboard for a given service from its logs, spans, metrics, and service specs. Discovers telemetry via cx CLI commands, emits importable Coralogix JSON, verifies every PromQL and DataPrime query live through the `cx` CLI, and creates or updates dashboards via `cx dashboards create` and `cx dashboards replace`. Use whenever the user asks to create, build, generate, deploy, update, replace, or modify a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline.
L2 AI-driven web UI testing for a React/Vite dashboard app. Originally authored against the Onsager Dashboard (the body's route table + file paths are Onsager-shaped); other React dashboards fork the procedure and substitute their own routes / test paths. Use when testing UI on PRs, triaging L1 test failures, or verifying UI behavior at desktop + mobile viewports. Triggers include "test the UI", "check the dashboard", "triage L1 failure", "run L2 tests", "validate this PR", "exploratory test the web app".
Expert guide for setting up monitoring dashboards, alerting, metrics collection, and observability. Use when implementing application monitoring, setting up alerts, or building dashboards.
Build or restyle frontend UI with this repo's visual taste. Use for web pages, landing pages, dashboards, components, HTML/CSS layouts, React/Vue/Svelte UI, and requests to make an interface look better. Add only project-specific design direction: avoid generic AI SaaS defaults, choose a clear aesthetic, and keep the implementation responsive and usable.
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.