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Found 1,444 Skills
Trigger when the user wants to create a new dashboard, set up monitoring for a service or infrastructure component, or import a pre-built dashboard template. Includes requests like "create a dashboard for PostgreSQL", "monitor my Redis cluster", "set up observability for my k8s cluster", "I need a dashboard for tracking LLM costs".
Full Sentry SDK setup for Next.js. Use when asked to "add Sentry to Next.js", "install @sentry/nextjs", or configure error monitoring, tracing, session replay, logging, profiling, AI monitoring, or crons for Next.js applications. Supports Next.js 13+ with App Router and Pages Router.
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 cloud compliance—mapping SOC 2, ISO 27001, HIPAA, PCI DSS, FedRAMP, and data-residency requirements to cloud controls; collecting audit evidence from AWS, GCP, and Azure APIs; shared-responsibility narratives; CSPM/Config continuous monitoring; customer assurance questionnaires (CAIQ/SIG); and cloud-specific gap remediation before attestations. Use when scoping regulated workloads in cloud, preparing cloud control evidence for auditors, interpreting provider compliance artifacts (BAA, PCI AOC, FedRAMP packages), or proving residency and logging in multi-account estates—not for org-wide GRC programs and audit coordination without cloud evidence (compliance-specialist), non-cloud systems evidence automation (compliance-engineer), implementing security guardrails (cloud-security-engineer), legal DPAs or contract redlines (commercial-counsel), security strategy (cybersecurity), or CI pipeline gates only (devsecops).
Enable Claude to trade, analyze, and manage Polymarket prediction markets with 45 AI-powered tools, real-time monitoring, and enterprise-grade safety features
Publishing, upgrading, and deploying Sui Move packages. Use this skill when the user needs to publish a package, upgrade a published package, deploy to multiple networks, serialize transactions for multisig signing, run a local Sui network (localnet), prepare for Mainnet launch, monitor production deployments, or debug dry run failures. Also use when the user asks about sui client publish, sui client upgrade, UpgradeCap, upgrade policies, Published.toml, --serialize-output, localnet, mainnet launch checklist, gas estimation, multisig publishing, production monitoring, rollback, incident response, devInspectTransactionBlock, or --dry-run.
TAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Lepton, Brev, SLURM, local Docker, Kubernetes). Use when the user wants to run TAO jobs through the SDK, get job tracking, S3 I/O wrapping, multi-node distributed training, or platform-specific features that docker-run can't provide. Trigger phrases include "use the TAO SDK", "call tao_sdk", "AutoMLRunner", "ActionWorkflow", "Job handles", "S3 I/O wrapping", "TAO platform run".
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
Decompose complex tasks, design dependency graphs, and coordinate multi-agent work with proper task descriptions and workload balancing. Use this skill when breaking down work for agent teams, managing task dependencies, or monitoring team progress.
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.
Set up monitoring, logging, and alerting for infrastructure and applications. Use when implementing observability, creating dashboards, or configuring alerts.
Track production app health and catch issues before users complain. Use after deploying, to check app status, or when investigating user reports. Covers error tracking, uptime monitoring, and metrics for non-technical founders.