Infra skills
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- openclaw · 328 skills
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674 skills
This skill helps diagnose and fix OpenClaw node connection and pairing issues across local, LAN, Tailnet, and public URL setups.
This skill helps maintain service reliability through monitoring, incident response, and automation, enabling efficient IT operations and continuous
This skill validates and previews Azure Bicep deployments, detects syntax issues, permissions, and what-if results to prevent failures.
This skill analyzes Azure resource groups and generates detailed Mermaid diagrams showing resource relationships to help you understand architecture quickly.
This skill helps you create and validate Windmill flows by guiding module IDs, inputs, and deployment steps for reliable automation.
This skill helps you write Bash scripts with positional arguments, JSON output, and Windmill integration for automation and deployment.
This skill helps you configure and manage external event triggers for Windmill, enabling seamless automation of scripts and flows.
This skill helps you write Go scripts for Windmill workflows, returning JSON-serializable results and proper error handling.
This skill validates system integrity, tracks sessions, and audits changes while surfacing security alerts to keep your AI infrastructure reliable.
This skill deploys and manages Cloudflare Workers, Pages, and MCP servers to boost edge capabilities and deployment reliability.
This skill launches multiple tmux CLI workers (claude, codex, or gemini) to execute tasks in parallel and return structured results.
This skill helps you deploy, host, and publish apps to Render by generating render.yaml blueprints and providing deployment deeplinks.
This skill helps you deploy Higress AI Gateway and configure OpenClaw to route to multiple model providers for seamless AI powered APIs.
This skill accelerates transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction on long sequences.
This skill enables efficient LLM inference on CPU and non-NVIDIA hardware, enabling edge deployment and Apple Silicon performance with GGUF quantization.
This skill helps you manage production-grade vector search with Pinecone, delivering low-latency, serverless indexing and hybrid search capabilities.
This skill optimizes LLM inference on NVIDIA GPUs with TensorRT for maximum throughput and lowest latency in production.
This skill helps you optimize large-scale LLM training with Megatron-Core, enabling efficient 2B-462B parameter models using advanced parallelism.
This skill helps you deploy AI models efficiently on consumer hardware using GGUF quantization for flexible 2-8 bit inference.
This skill helps you manage Lambda Labs GPU Cloud resources for scalable ML training and inference with persistent storage and easy SSH access.
This skill helps deploy high-throughput LLM serving with vLLM, enabling OpenAI-compatible endpoints, quantization, and tensor parallelism for production