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Found 1,287 Skills
UML and diagram generation via Kroki — class, sequence, activity, state, component, deployment, network, ER, C4, Mermaid, D2, Graphviz, BPMN, 27+ types. Use when generating a network diagram, creating a sequence diagram, drawing a rack layout, visualizing a protocol state machine, or producing architecture documentation.
Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. Use this skill whenever the user wants to deploy, run, or serve vLLM on a Kubernetes cluster, including creating deployments, services, checking existing deployments, or managing vLLM on K8s.
Apply when building, customizing, or deploying extensions for VTEX Sales App. Covers the complete 7-step workflow from prerequisite checks through code generation to deployment, including extension points (cart, PDP, menu), React hooks (useCart, usePDP, useCartItem, useCurrentUser, useExtension), TypeScript types, secure API integration patterns, and API documentation ingestion (OpenAPI, URLs, or inline specs) to generate typed integrations.
Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment.
Run a security and reliability health check on a Portaly Vibe payment integration before deployment. Trigger when the user mentions Portaly health check, payment security audit, pre-deploy check, sentry scan, callback verification audit, integration safety check, or wants to verify their Portaly payment integration is safe to go live.
Use when building NEW Datex Studio reports from scratch. This is the entry point for all new report work — it orchestrates requirements gathering, schema exploration, datasource creation, layout prototyping, and deployment as a single workflow. Trigger for: "create a report", "build a report", "report from work item", "report from requirements". For modifying EXISTING reports, use `report-editor`.
[Hyper] Run deploy-readiness validation and fix reproduced lint/typecheck/build blockers for Node.js, Rust, and Python repos. Use for pre-deploy checks, deploy-ready requests, or final quality/build gates before deployment.
GitOps continuous delivery toolkit for Kubernetes with Flux CD. Use for declarative deployments, Helm chart automation, Kustomize overlays, image update automation, multi-tenancy, and Git-based continuous delivery.
Execute mcloud logs to fetch and stream runtime logs for Cloud environments. Use when reading backend or storefront logs, filtering by time range, searching for errors, or scoping logs to a specific deployment.
Interact with the Infisical REST API to manage secrets, projects, environments, machine identities, and more. Supports secret CRUD operations, machine identity authentication, pagination, and rate limiting on cloud deployments.
Use this skill when working with the RTVI VLM or RT-VLM microservice API on VSS 3.1. Generate dense captions and alerts for stored video files and live RTSP streams via `/v1/generate_captions_alerts`; upload media via `/v1/files`; add and remove live streams with `/v1/streams/add` and `/v1/streams/delete/{stream_id}`; call OpenAI-compatible `/v1/chat/completions`; consume Kafka caption, incident, and error topics; or debug rtvi-vlm responses. For deployment, read `references/deploy-rt-vlm-service.md` first.
Generate a source-backed starting `trtllm-serve --config` YAML for basic aggregate single-node PyTorch serving, aligned with checked-in TensorRT-LLM configs and deployment docs. Preserves explicit latency / balanced / throughput objectives. Excludes disaggregated, multi-node, and non-MTP speculative configs.