auto-heal
Detect GPU and container failures, automatically remediate by restarting, migrating, or escalating.
magpie
Performs GPU kernel correctness and performance evaluation and LLM inference benchmarking with Magpie. Analyzes single or multiple kernels (HIP/CUDA/PyTorch), compares kernel implementations, runs vLLM/SGLang benchmarks with profiling and TraceLens, and runs gap analysis on torch traces. Creates kernel config YAMLs, discovers kernels in a project, and queries GPU specs. Use when the user mentions Magpie, kernel analyze or compare, HIP/CUDA kernel evaluation, vLLM/SGLang benchmark, gap analysis, TraceLens, creating kernel configs, or discovering GPU kernels.
auto-experiment
Launch an autonomous THINKâEXECUTEâREFLECT experiment loop on a GPU project
MAXIA
AI-to-AI Marketplace on Solana. 22 tools: crypto, stocks, GPU, DeFi, sentiment.
agentic-data-science-competition
AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing submission failures, setting up automated pipelines, or replicating top notebook solutions.
rdc-cli
Use this skill when working with RenderDoc capture files (.rdc), analyzing GPU frames, tracing shaders, inspecting draw calls, or running CI assertions against GPU captures. Trigger phrases: "open capture", "rdc file", ".rdc", "renderdoc", "shader debug", "pixel trace", "draw calls", "GPU frame", "assert pixel", "export render target".
Io.Github.Fjnunezp75/Gpu Bridge
30 GPU-powered AI services as MCP tools. LLM, image, video, audio, embeddings & more.
vllm-deploy-docker
Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server.
Motion Dev Animations
> **Motion.dev** - 10M+ downloads/month, successor to Framer Motion > 120fps GPU-accelerated animations for React, Next.js, Svelte, Astro, Vue
awq-quantization
Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys 2024 Best Paper Award winner.
brev-cli
Manage GPU and CPU cloud instances with the Brev CLI for ML workloads and general compute. Use when users want to create instances, search for GPUs or CPUs, SSH into instances, open editors, copy files, port forward, manage organizations, or work with cloud compute. Supports fine-tuning, reinforcement learning, training, inference, batch processing, and other ML/AI workloads. Trigger keywords - brev, gpu, cpu, instance, create instance, ssh, vram, vcpu, A100, H100, cloud gpu, cloud cpu, remote machine, finetune, fine-tune, RL, RLHF, training, inference, deploy model, serve model, batch job.
vastai
Vast.ai CLI to manage GPU instances, volumes, serverless endpoints, and billing.
TechEnthus Hardware Data API
Verified GPU specs for AI agents. 1600+ GPUs, fuzzy matching, bounty links.
Math Mcp
GPU-accelerated MCP server: symbolic algebra, numerical computing, FFT, optimization, linear algebra
Io.Github.Pdwi2020/Mcp Server Colab Exec
Execute Python code on Google Colab GPU runtimes (T4/L4) from any MCP client
Image Tools - Background Removal, Upscaling & Face Restoration
Background removal, 4x upscaling, and face restoration via GPU
Cloud Regions
Cloud region data for AWS, Azure, GCP, OCI & more. Query by location, compliance, GPU.
kernelgen-flagos
Unified GPU kernel operator generation skill. Automatically detects the target repository type (FlagGems, vLLM, or general Python/Triton) and dispatches to the appropriate specialized sub-skill. Also includes a feedback submission sub-skill for bug reports. Use this skill when the user wants to generate a GPU kernel operator, create a Triton kernel, or says things like "generate an operator", "create a kernel for X", or "/kernelgen-flagos". This single skill replaces the need to install kernelgen-general, kernelgen-for-flaggems, kernelgen-for-vllm, and kernelgen-submit-feedback separately.
Terradev
Complete GPU infrastructure for Claude Code — 192 MCP tools for provisioning, training, inference