Check and upgrade BMC firmware and BIOS on ASUS ESC8000-E12P (and similar ASMB12/AST2600 AMI-BMC ASUS servers) via Redfish and the BMC's HPM wizard API. Use when asked to check firmware/BIOS versions, update BMC or BIOS on ASUS GPU servers, or recover a BMC stuck in firmware-update/flash mode (login blocked, Redfish 503).
EnglishApply a low-latency GPU-serving + VM-passthrough BIOS profile to ASUS ESC8000-E12P (ASMB12/AMI-BMC, Xeon 6/GNR) servers over Redfish — diff current settings, stage, reboot, verify. Use when asked to optimize/tune BIOS for GPU inference/serving, set performance power profile, enable Resize BAR / SR-IOV / disable SNC, or replicate one server's BIOS config onto another ESC8000.
EnglishDeploy and serve Moonshot Kimi-K2.6 (1T MoE, INT4/Marlin, 256K context, vision) on an Ubuntu server with 8× NVIDIA RTX PRO 6000 Blackwell (sm120) GPUs using a uv venv + SGLang, exposing an OpenAI-compatible API. Use when deploying or serving Kimi-K2.6 (or similar INT4 compressed-tensors MoE models) on RTX PRO 6000 Blackwell / sm120 hardware, installing SGLang in a uv venv, or troubleshooting sm120 startup crashes — CUDA JIT "rsqrt exception specification" / glibc errors, FlashInfer CuTe-DSL MLIR ICE (llvm.mlir.globaldtors), or a slow/hung MoE weight load.
EnglishUse when SSHing to a remote host from Ghostty terminal and encountering terminfo errors, missing colors, broken key bindings, or "unknown terminal type"…
EnglishUse when setting up a Mac (especially Mac Mini) for unattended 24/7 server operation, headless use, or remote-only access. Covers sleep prevention, screen saver, Wake-on-LAN, auto-restart, App Nap, and SSH enablement.
EnglishDiagnose and fix OpenClaw gateway and node host issues. Use when openclaw services have warnings, connection failures, pairing errors, or port conflicts.
EnglishUse when Claude Code auth fails over SSH on macOS, keychain is locked in headless/remote sessions, or setting up Claude Code on a Mac for remote…
EnglishOrchestrates the full five-stage flow from raw idea to shipped PR — grill-with-docs → to-prd → to-issues → triage → worktree+planning-with-files. Each stage answers one question (What do I want? / What does done look like? / What are the units of work? / What's actionable? / Build it). Use when the user has an idea but no spec yet, wants to plan a feature end-to-end, says "let's PRD this," asks "how do I start on this idea?", or grabs a ready-for-agent issue to implement.
EnglishGenerate FEATURES.md at the repo root by reading CONTEXT.md and docs/adr/, then enumerating the user-facing features the domain implies. Use after /grill-with-docs has settled the domain language and before /to-prd writes per-feature specs. Bridges the product→engineering gap between domain understanding and feature specification — the missing step that mattpocock's chain doesn't cover natively.
EnglishInstall LXD on an Ubuntu server and pass all NVIDIA GPUs into LXD system containers via CDI — install snapd+LXD (snap), run lxd init with a ZFS or dir storage pool, generate a host CDI spec with nvidia-ctk, and grant every GPU to every instance through the default profile, then verify nvidia-smi inside a container. Use when asked to install or set up LXD/lxc on a GPU host, give LXD containers GPU access, do LXD NVIDIA GPU passthrough, share all GPUs across LXD instances, or when nvidia.runtime=true fails with "driver rpc error: timed out" (use CDI instead). Assumes the host NVIDIA driver + nvidia-container-toolkit are already installed (see ubuntu-nvidia-gpu-enablement).
EnglishEnable NVIDIA GPUs on a Ubuntu server for compute/inference serving — install the open-kernel-module driver (required for Blackwell/Hopper), CUDA toolkit, turn on IOMMU (inteliommu=on iommu=pt), set up nvidia-persistenced, and install/wire a container runtime (Docker + nvidia-container-toolkit, or the minimal CLI), then verify all GPUs, IOMMU groups, P2P, nvcc, and GPU containers. Use when asked to enable or set up NVIDIA GPUs, install the NVIDIA driver + CUDA on Ubuntu, install Docker + nvidia-container-toolkit for GPU containers, configure GPU IOMMU/passthrough, prepare a host for GPU serving (vLLM/PyTorch/TensorRT/NIM), or troubleshoot nouveau, persistence mode, GPU-in-container, or driver/CUDA/glibc problems.
EnglishInstall Ubuntu Server onto a 2-disk ZFS mirror root (rpool→/) plus a striped data pool (dpool→/data) via debootstrap + ZFSBootMenu, or fall back to a plain single-disk ext4 install (GRUB-EFI) when there aren't two equal-size disks. Use when asked to install Ubuntu on ZFS, build a ZFS mirror root / rpool+dpool layout, set up root-on-ZFS with ZFSBootMenu, or do a scripted Ubuntu Server install on a UEFI x86 server with one or two SSDs/NVMes.
English
AGENT SKILLS ATLASIncludes Asus Esc8000 Firmware Upgrade, Asus Esc8000 Gpu Bios Tuning, Deploy Kimi K26 Blackwell, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Asus Esc8000 Firmware Upgrade
Check and upgrade BMC firmware and BIOS on ASUS ESC8000-E12P (and similar ASMB12/AST2600 AMI-BMC ASUS servers) via Redfish and the BMC's HPM wizard API. Use when asked to check firmware/BIOS versions, update BMC or BIOS on ASUS GPU servers, or recover a BMC stuck in firmware-update/flash mode (login blocked, Redfish 503).
Asus Esc8000 Gpu Bios Tuning
Apply a low-latency GPU-serving + VM-passthrough BIOS profile to ASUS ESC8000-E12P (ASMB12/AMI-BMC, Xeon 6/GNR) servers over Redfish — diff current settings, stage, reboot, verify. Use when asked to optimize/tune BIOS for GPU inference/serving, set performance power profile, enable Resize BAR / SR-IOV / disable SNC, or replicate one server's BIOS config onto another ESC8000.
Deploy Kimi K26 Blackwell
Deploy and serve Moonshot Kimi-K2.6 (1T MoE, INT4/Marlin, 256K context, vision) on an Ubuntu server with 8× NVIDIA RTX PRO 6000 Blackwell (sm120) GPUs using a uv venv + SGLang, exposing an OpenAI-compatible API. Use when deploying or serving Kimi-K2.6 (or similar INT4 compressed-tensors MoE models) on RTX PRO 6000 Blackwell / sm120 hardware, installing SGLang in a uv venv, or troubleshooting sm120 startup crashes — CUDA JIT "rsqrt exception specification" / glibc errors, FlashInfer CuTe-DSL MLIR ICE (llvm.mlir.globaldtors), or a slow/hung MoE weight load.
Ghostty Terminfo
Use when SSHing to a remote host from Ghostty terminal and encountering terminfo errors, missing colors, broken key bindings, or "unknown terminal type" warnings
Mac Mini as Headless Server
Use when setting up a Mac (especially Mac Mini) for unattended 24/7 server operation, headless use, or remote-only access. Covers sleep prevention, screen saver, Wake-on-LAN, auto-restart, App Nap, and SSH enablement.
OpenClaw Diagnose
Diagnose and fix OpenClaw gateway and node host issues. Use when openclaw services have warnings, connection failures, pairing errors, or port conflicts.
Ssh Keychain Unlock
Use when Claude Code auth fails over SSH on macOS, keychain is locked in headless/remote sessions, or setting up Claude Code on a Mac for remote access
Swe Workflow
Orchestrates the full five-stage flow from raw idea to shipped PR — grill-with-docs → to-prd → to-issues → triage → worktree+planning-with-files. Each stage answers one question (What do I want? / What does done look like? / What are the units of work? / What's actionable? / Build it). Use when the user has an idea but no spec yet, wants to plan a feature end-to-end, says "let's PRD this," asks "how do I start on this idea?", or grabs a ready-for-agent issue to implement.
To Features
Generate FEATURES.md at the repo root by reading CONTEXT.md and docs/adr/, then enumerating the user-facing features the domain implies. Use after /grill-with-docs has settled the domain language and before /to-prd writes per-feature specs. Bridges the product→engineering gap between domain understanding and feature specification — the missing step that mattpocock's chain doesn't cover natively.
Ubuntu Lxd Gpu Server
Install LXD on an Ubuntu server and pass all NVIDIA GPUs into LXD system containers via CDI — install snapd+LXD (snap), run lxd init with a ZFS or dir storage pool, generate a host CDI spec with nvidia-ctk, and grant every GPU to every instance through the default profile, then verify nvidia-smi inside a container. Use when asked to install or set up LXD/lxc on a GPU host, give LXD containers GPU access, do LXD NVIDIA GPU passthrough, share all GPUs across LXD instances, or when nvidia.runtime=true fails with "driver rpc error: timed out" (use CDI instead). Assumes the host NVIDIA driver + nvidia-container-toolkit are already installed (see ubuntu-nvidia-gpu-enablement).
Ubuntu Nvidia Gpu Enablement
Enable NVIDIA GPUs on a Ubuntu server for compute/inference serving — install the open-kernel-module driver (required for Blackwell/Hopper), CUDA toolkit, turn on IOMMU (inteliommu=on iommu=pt), set up nvidia-persistenced, and install/wire a container runtime (Docker + nvidia-container-toolkit, or the minimal CLI), then verify all GPUs, IOMMU groups, P2P, nvcc, and GPU containers. Use when asked to enable or set up NVIDIA GPUs, install the NVIDIA driver + CUDA on Ubuntu, install Docker + nvidia-container-toolkit for GPU containers, configure GPU IOMMU/passthrough, prepare a host for GPU serving (vLLM/PyTorch/TensorRT/NIM), or troubleshoot nouveau, persistence mode, GPU-in-container, or driver/CUDA/glibc problems.
Ubuntu Zfs Mirror Install
Install Ubuntu Server onto a 2-disk ZFS mirror root (rpool→/) plus a striped data pool (dpool→/data) via debootstrap + ZFSBootMenu, or fall back to a plain single-disk ext4 install (GRUB-EFI) when there aren't two equal-size disks. Use when asked to install Ubuntu on ZFS, build a ZFS mirror root / rpool+dpool layout, set up root-on-ZFS with ZFSBootMenu, or do a scripted Ubuntu Server install on a UEFI x86 server with one or two SSDs/NVMes.
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After installation, start with a request like:
Use the Asus Esc8000 Firmware Upgrade skill to help with my task.
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