3.3K skills · sorted by relevance
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
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Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
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Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
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Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
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Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
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Operate and maintain OpenViking server - configure, install, start, stop, and cleanup the server. Use when need to setup or manage OpenViking service deployment.
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Train and deploy neural networks in distributed E2B sandboxes with Flow Nexus
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Cloud-based AI swarm deployment and event-driven workflow automation with Flow Nexus platform
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Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
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Comprehensive Flow Nexus platform management - authentication, sandboxes, app deployment, payments, and challenges
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Space/aerospace mission monitoring: dark command center, amber telemetry on navy, monospace precision. Functional clarity above all. For ops dashboards, build/deploy status, and real-time monitoring.
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Operação de aplicação Laravel em produção — Horizon, queue, scheduler, Octane, Redis, Supervisor, PHP-FPM, cache e deploy. Use quando o usuário disser "laravel", "horizon", "queue", "fila travada", "job falhando", "octane", "artisan", "php-fpm", "supervisor", "scheduler não roda".
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CI/CD e automação — GitHub Actions, Terraform, OpenTofu, Ansible, n8n. Use quando o usuário disser "pipeline", "CI/CD", "GitHub Actions", "workflow", "terraform", "ansible", "n8n", "automatizar", "deploy automático", "IaC".
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Write comprehensive end-to-end tests that verify complete user workflows, integration between components, and system behavior from user perspective using Playwright, Cypress, or similar frameworks. Use when testing user flows, verifying feature integration, testing across real browsers, ensuring UI interactions work correctly, validating form submissions end-to-end, testing authentication flows, catching regressions, automating QA processes, testing API integrations, or building confidence in production deployments.
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Fast headless browser for QA testing and site dogfooding. Navigate any URL, interact with elements, verify page state, diff before/after actions, take annotated screenshots, check responsive layouts, test forms and uploads, handle dialogs, and assert element states. ~100ms per command. Use when you need to test a feature, verify a deployment, dogfood a user flow, or file a bug with evidence. Use when asked to "open in browser", "test the site", "take a screenshot", or "dogfood this". (gstack)
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Fast headless browser for QA testing and site dogfooding. Navigate pages, interact with elements, verify state, diff before/after, take annotated screenshots, test responsive layouts, forms, uploads, dialogs, and capture bug evidence. Use when asked to open or test a site, verify a deployment, dogfood a user flow, or file a bug with screenshots. (gstack)
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Apply DESIGN, canon, and modules to every page in the inventory, producing a deployable static HTML site. Three render branches (approved page, template-applied sibling, unique render). Per-page, incremental, idempotent, content-preserving by default.
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Configure and deploy Workflow Launchers that automatically start workflows in response to JCR content changes on AEM as a Cloud Service
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Design and create AEM Workflow models on AEM as a Cloud Service. Use when creating workflow models via the Workflow Model Editor or content package XML, defining step types (PROCESS, PARTICIPANT, DYNAMIC_PARTICIPANT, OR_SPLIT, AND_SPLIT), configuring step properties, declaring workflow variables, and deploying models through the Cloud Manager pipeline.
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Route Expo application, EAS, native module, styling, deployment, and upgrade work to focused Expo skills. Use when building or operating an Expo or Expo Router project.
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Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.
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Prepare safe production launches — pre-launch checklist, monitoring, staged rollout, and rollback. Load when deploying to production, releasing a major change, opening beta access, or the user asks for a launch checklist, go-live plan, rollout strategy, or rollback plan. Not for local-only prototypes. Pairs with ci-cd-and-automation and app-security-hardening.
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Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.
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Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
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