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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 5,065–5,088 of 20,295 skills
- Agentdb AdvancedMaster advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.Votes: 0GitHub stars: 2
- Agent WorkflowAgent skill for workflow - invoke with $agent-workflowVotes: 0GitHub stars: 2
- Agent Workflow AutomationAgent skill for workflow-automation - invoke with $agent-workflow-automationVotes: 0GitHub stars: 2
- Agent SwarmAgent skill for swarm - invoke with $agent-swarmVotes: 0GitHub stars: 2
- Agent Release SwarmAgent skill for release-swarm - invoke with $agent-release-swarmVotes: 0GitHub stars: 2
- Agent Ops Cicd GithubAgent skill for ops-cicd-github - invoke with $agent-ops-cicd-githubVotes: 0GitHub stars: 2
- Agent Neural NetworkAgent skill for neural-network - invoke with $agent-neural-networkVotes: 0GitHub stars: 2
- Agent Matrix OptimizerAgent skill for matrix-optimizer - invoke with $agent-matrix-optimizerVotes: 0GitHub stars: 2
- Agent Crdt SynchronizerAgent skill for crdt-synchronizer - invoke with $agent-crdt-synchronizerVotes: 0GitHub stars: 2
- Agent Consensus CoordinatorAgent skill for consensus-coordinator - invoke with $agent-consensus-coordinatorVotes: 0GitHub stars: 2
- Agent Benchmark SuiteAgent skill for benchmark-suite - invoke with $agent-benchmark-suiteVotes: 0GitHub stars: 2
- Agent ArchitectureAgent skill for architecture - invoke with $agent-architectureVotes: 0GitHub stars: 2
- Docker ManagementManage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.Votes: 0GitHub stars: 2
- QdrantHigh-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.Votes: 0GitHub stars: 2
- PineconeManaged vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.Votes: 0GitHub stars: 2
- TorchtitanProvides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.Votes: 0GitHub stars: 2
- VllmServes 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.Votes: 0GitHub stars: 2
- Tensorrt LlmOptimizes 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.Votes: 0GitHub stars: 2
- Llama CppRuns 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.Votes: 0GitHub stars: 2
- Nemo CuratorGPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.Votes: 0GitHub stars: 2
- ModalServerless 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.Votes: 0GitHub stars: 2
- HeartmulaSet up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.Votes: 0GitHub stars: 2
- Webhook SubscriptionsCreate and manage webhook subscriptions for event-driven agent activation. Use when the user wants external services to trigger agent runs automatically.Votes: 0GitHub stars: 2
- Enterprise Agent OpsOperate long-lived agent workloads with observability, security boundaries, and lifecycle management.Votes: 0GitHub stars: 2