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Found 843 Skills
Use when you need to implement or improve Java logging and observability — including selecting SLF4J with Logback/Log4j2, applying proper log levels (ERROR, WARN, INFO, DEBUG, TRACE), parameterized logging, secure logging without sensitive data exposure, environment-specific configuration, log aggregation and monitoring, or validating logging through tests. This should trigger for requests such as Improve logging; Apply logging; Refactor logging; Add logging support. Part of cursor-rules-java project
Guides OT/ICS and SCADA cyber security—Purdue zones, IEC 62443 and NIST SP 800-82 (practitioner), OT asset inventory (PLCs, RTUs, HMIs, historians), secure remote access, OT patch/vuln management, ICS protocol monitoring (Modbus, DNP3, OPC, BACnet high level), safety-first IR, OT threat classes (TRITON, Industroyer), hardening roadmaps, IT/OT convergence. Use for OT program scope, ICS segmentation, OT vuln/patch, detection/IR playbooks, vendor remote access, IEC 62443 or NIST 800-82 gaps—not IT network pentest (network-pentester), web apps (web-pentester), HIL bench only (hardware-in-the-loop-security-tester), GRC only (compliance-specialist), SOC triage (soc-analyst), or IT IR without OT safety (incident-responder). Safety over aggressive testing; no unsafe live-plant steps.
This spell is archaeology, not history research. It operates on specific artifacts from a specific dead system to answer specific questions. It is NOT general tech history, NOT interviewing living people, and NOT monitoring live systems.
Queries Huawei Cloud monitoring and enterprise project resources (CES/EPS). Covers alarm rules, alarm histories, alarm templates, dashboards, notification masks, resource groups, one-click alarms, and enterprise projects (list/detail/quotas/bound resources/migration records). No write operations. Use this skill when the user needs to check alarm status, view monitoring dashboards, query alarm rules, or manage enterprise project info. Triggers: 云监控, 告警, 告警规则, 告警历史, 仪表盘, 企业项目, CES, EPS, 告警模板, 资源分组, alarm, monitoring, alert.
Enable Claude to trade, analyze, and manage Polymarket prediction markets with 45 AI-powered tools, real-time monitoring, and enterprise-grade safety features
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
Guides agents to interactively discover customer requirements for live, bidirectional multi-agent AI systems that process continuous streams of multimodal data for real-time technical guidance and safety monitoring. Generates a custom Google Cloud solution that uses opinionated best practices and architecture guidance. Use when users need agentic assistance to design and create a multi-product solution in the cloud for live bidirectional multimodal streaming workloads.
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.
Expert Django and Celery guidance for asynchronous task processing. Use when designing background tasks, configuring workers, handling retries and errors, optimizing task performance, implementing periodic tasks, or setting up production monitoring. Follows Celery best practices with Django integration patterns.
Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.
Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
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.