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Found 1,444 Skills
Guide for implementing Syncfusion Gauge controls in Windows Forms applications. Use when creating data visualization gauges such as RadialGauge for circular displays (speedometers, temperature dials), LinearGauge for horizontal/vertical bars and progress indicators, or DigitalGauge for LED-style alphanumeric displays. Covers dashboard gauges, instrument panels, real-time monitoring, and KPI displays with needles, ranges, and scales.
HODLMM Move-Liquidity & Auto-Rebalancer — withdraw from drifted bins, re-deposit around the current active bin. Includes autonomous monitoring loop.
Design error handling strategies for TypeScript and Python applications — exception hierarchies, Result/Either types, retry patterns, error boundaries, and structured error logging. Use when designing error handling architecture, choosing between exceptions and Result types, implementing retry logic, or building error recovery flows. Activate on "error handling", "exception hierarchy", "Result type", "retry pattern", "circuit breaker", "error boundary", "Pokemon exception". NOT for debugging specific runtime errors, logging infrastructure setup, or monitoring/alerting configuration.
Meltwater platform help — media intelligence, social listening, media relations (journalist database + outreach), influencer marketing, social media management, consumer intelligence, Mira AI, API, and integrations. Use when Meltwater Explore searches return noisy results, media monitoring is missing coverage, journalist contacts are outdated, influencer campaigns aren't tracking properly, social publishing isn't scheduling, Meltwater API or Mira AI isn't returning expected data, or CRM/BI integrations aren't syncing. Do NOT use for cross-platform social listening strategy (use /sales-social-listening), cross-platform media relations strategy (use /sales-media-relations), cross-platform influencer marketing strategy (use /sales-influencer-marketing), or email deliverability (use /sales-deliverability).
Implement Syncfusion React Circular Gauge for displaying KPIs, sensor data, speedometers, and real-time monitoring dashboards. Use this skill when users need to visualize quantitative measurements on a circular scale. Covers axes, pointers, ranges, customization, animations, print/export, accessibility, and internationalization.
A-share Market Daily Review System. Actively invoked when users mention needs such as market review, market analysis, or tomorrow's market prediction. Covers: Market Environment, Sentiment Cycle, Main Line Identification, Capital Monitoring, Post-Market Variables, Tomorrow's Combat Map. For research reference only, does not constitute securities investment consulting business or investment advice.
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
Build dashboards, analytics interfaces, and data-rich UIs using the Tremor design system (React + Tailwind CSS + Recharts). Use when the user asks to create dashboard components, KPI cards, charts, data tables, analytics pages, monitoring interfaces, or any data visualization UI that should use Tremor. Triggers include mentions of "Tremor", "tremor.so", "@tremor/react", requests for dashboard UIs with charts and tables, or when the user's project already uses Tremor components. Supports both Tremor Raw (copy-and-paste, tremor.so) and Tremor NPM (@tremor/react) versions. Do NOT use for general frontend work unrelated to dashboards or data visualization, or when the user explicitly requests a different component library.
Production MLOps and ML/LLM/agent security skill for deploying and operating ML systems in production (registry + CI/CD, serving, monitoring/drift, evaluation loops, incident response/runbooks, and governance), including GenAI security (prompt injection, jailbreaks, RAG security, privacy, and supply chain).
Google Cloud Platform CLI (gcloud, gcloud storage, bq). Use when: managing GCP resources, deploying to Cloud Run/Cloud Functions/GKE/App Engine, working with Cloud Storage, BigQuery, IAM, Compute Engine, Cloud SQL, Pub/Sub, Secret Manager, Artifact Registry, Cloud Build, Cloud Scheduler, Cloud Tasks, Vertex AI, VPC/networking, DNS, logging/monitoring, or any GCP service. Also covers: authentication, project/config management, CI/CD integration, serverless deployments, container registry, docker push to GCP, managing secrets, Workload Identity Federation, and infrastructure automation.
Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.
Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).