SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
Review and adapt vllmmetax/registry registrations, quantization configurations, CustomOps and kernel dispatch against a target vLLM revision and installed MetaX APIs.
$ npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MetaX-MACA/vLLM-metax vllm-metax-registry-upgrade --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/MetaX-MACA/vLLM-metax.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/vllm-metax-registry-upgrade .claude/skills/vllm-metax-registry-upgrade && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "vllm-metax-registry-upgrade" agent skill from https://github.com/MetaX-MACA/vLLM-metax/tree/master/.codex/skills/vllm-metax-registry-upgrade into .claude/skills/vllm-metax-registry-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vllm-metax-registry-upgrade", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/MetaX-MACA/vLLM-metax/tree/master/.codex/skills/vllm-metax-registry-upgradeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MetaX-MACA/vLLM-metax vllm-metax-registry-upgrade --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MetaX-MACA/vLLM-metax.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/vllm-metax-registry-upgrade .agents/skills/vllm-metax-registry-upgrade && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vllm-metax-registry-upgrade" agent skill from https://github.com/MetaX-MACA/vLLM-metax/tree/master/.codex/skills/vllm-metax-registry-upgrade into .agents/skills/vllm-metax-registry-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vllm-metax-registry-upgrade", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MetaX-MACA/vLLM-metax vllm-metax-registry-upgrade --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MetaX-MACA/vLLM-metax.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/vllm-metax-registry-upgrade .cursor/skills/vllm-metax-registry-upgrade && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "vllm-metax-registry-upgrade" agent skill from https://github.com/MetaX-MACA/vLLM-metax/tree/master/.codex/skills/vllm-metax-registry-upgrade into .cursor/skills/vllm-metax-registry-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vllm-metax-registry-upgrade", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/MetaX-MACA/vLLM-metax.git --path .codex/skills/vllm-metax-registry-upgrade--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MetaX-MACA/vLLM-metax vllm-metax-registry-upgrade --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MetaX-MACA/vLLM-metax.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/vllm-metax-registry-upgrade .gemini/skills/vllm-metax-registry-upgrade && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "vllm-metax-registry-upgrade" agent skill from https://github.com/MetaX-MACA/vLLM-metax/tree/master/.codex/skills/vllm-metax-registry-upgrade into .gemini/skills/vllm-metax-registry-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vllm-metax-registry-upgrade", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install MetaX-MACA/vLLM-metax vllm-metax-registry-upgradeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MetaX-MACA/vLLM-metax.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/vllm-metax-registry-upgrade .github/skills/vllm-metax-registry-upgrade && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "vllm-metax-registry-upgrade" agent skill from https://github.com/MetaX-MACA/vLLM-metax/tree/master/.codex/skills/vllm-metax-registry-upgrade into .github/skills/vllm-metax-registry-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vllm-metax-registry-upgrade", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install MetaX-MACA/vLLM-metax vllm-metax-registry-upgrade --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MetaX-MACA/vLLM-metax.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/vllm-metax-registry-upgrade .opencode/skills/vllm-metax-registry-upgrade && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "vllm-metax-registry-upgrade" agent skill from https://github.com/MetaX-MACA/vLLM-metax/tree/master/.codex/skills/vllm-metax-registry-upgrade into .opencode/skills/vllm-metax-registry-upgrade/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vllm-metax-registry-upgrade", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
vllm-metax-registry-upgradeReview and adapt vllmmetax/registry registrations, quantization configurations, CustomOps and kernel dispatch against a target vLLM revision and installed MetaX APIs.
Vllm Metax Registry Upgrade is an agent skill from MetaX-MACA/vLLM-metax. Review and adapt vllmmetax/registry registrations, quantization configurations, CustomOps and kernel dispatch against a target vLLM revision and installed MetaX APIs. Verify registration, inherited state, weight layouts and actual backend selection. Use for registry compatibility work, not standalone attention algorithms or monkey patches.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/quantization-contracts.md` and `references/validation.md`).
It sits in AI & LLM Engineering, covering LLM inference and serving. It works with vLLM. The repository describes itself as: Community maintained hardware plugin for vLLM on MetaX GPU. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit df0f52b. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Vllm Metax Registry Upgrade loads about 1.8k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 93 tokens; SKILL.md has 825 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from MetaX-MACA/vLLM-metax at commit df0f52b, republished under its Apache-2.0 licence (© MetaX-MACA). 825 words, ~1,795 tokens.
.claude/skills/vllm-metax-registry-upgrade/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Maintain the full contract from plugin activation to the selected implementation. A registered class name, matching signature, or upstream support declaration does not establish that the installed MetaX implementation supports the same behavior.
vllm_metax/registry/, including quantization
configurations, CustomOps and linear kernels. Inspect directly related oracles,
experts, wrappers and callers outside that directory as necessary. Edit them only
when needed for the authorized adaptation; do not expand into unrelated changes.vllm_metax/patch/AUDIT.md.Inventory every requested registration, including inactive/conditional entries and aggregate import files. Record the registry key or target, activation path, effective class/callable, upstream counterpart, MetaX difference, decision and evidence.
Trace the actual chain:
plugin entry point -> package imports -> decorator/table mutation
-> config lookup or CustomOp/platform dispatch -> selected method
-> backend oracle -> experts/prepare-finalize -> wrapper -> installed kernelsuper() may now call a parent with a different signature. Bypassing
that parent requires initializing all state consumed by inherited allocation,
loading, quant-config and execution methods.For quantization work, read quantization-contracts.md. For CustomOps and linear registrations, apply the same chain checks to real/fake schemas, optional inputs, tensor/tuple outputs, layout requirements and capability predicates.
Choose per entry: retain a needed difference, update the adapter, remove redundant code, migrate to a supported extension point, or reject an unsupported combination early. Do not copy upstream support claims into MetaX predicates without checking the installed implementation. Comments and earlier review conclusions are hypotheses to verify.
Read validation.md and select checks that discriminate the changed behavior, using the common skill's isolated-validation and evidence rules.
Start with startup/lookup and interface checks, then validate affected state/layout and real GPU behavior. An isolated constructor or scatter test may bypass an earlier failure inside that test process, but record the bypass and keep the real function under review. Such tests do not establish production reachability or kernel support.
For a re-review, account for every prior finding as fixed, partially fixed, still present, or masked by an earlier failure/capability rejection. Do not stop after fixing the first exception. A rejected asymmetric configuration can hide a broken zero-point scatter.
Report locations, trigger, consequence, evidence, verification level and untested scope. For fixes, include what changed, actual interpreter/import origins and reproducible test commands/results. Record runtime workarounds explicitly. Do not claim full-model, distributed, capture or performance validation from import and tensor-layout checks. Use a user-requested audit location if provided; no separate audit file is mandatory.
© MetaX-MACA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in .codex/skills/vllm-metax-registry-upgrade of MetaX-MACA/vLLM-metax.
Open the folder on GitHubat commit df0f52b
Vllm Metax Registry Upgrade next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Vllm Metax Registry Upgrade this skillMetaX-MACA/vLLM-metax | 180 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| CI Fails Buildkiteguqiong96/Lvllm | 465 | 2 repos | ~349 | Automated safety check: Pass | Apache-2.0 | |
| Gptqmodel Tokenizer NormalizationModelCloud/GPTQModel | 1.3k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Add Diffusion Modelvllm-project/vllm-omni | 7.1k | — | ~7k | Automated safety check: Pass | Apache-2.0 |
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
guqiong96/Lvllm
Fetch and diagnose vLLM Buildkite CI failure logs. An agent skill from guqiong96/Lvllm.
ModelCloud/GPTQModel
Diagnose and correct GPT-QModel tokenizer initialization, tokenization normalization, special-token handling, prompt rendering, and chat-template problems.
vllm-project/vllm-omni
Add a new diffusion model (text-to-image, text-to-video, image-to-video, text-to-audio, image editing) to vLLM-Omni, including native non-Diffusers ports, reference-parity validation, Cache-DiT…
vllm-project/vllm-omni
Add or update an in-repository vLLM-Omni model recipe with verified task, input, output, hardware, command, feature, and validation contracts.
MetaX-MACA/vLLM-metax
Review and upgrade MetaX model support against a target vLLM revision and installed MACA components, recursively including model-dependent attention and kernels.
MetaX-MACA/vLLM-metax
Review and adapt MetaX attention backends, MLA, sparse indexers, cache layouts, and their kernel wrappers against a target vLLM revision and the actually installed MetaX component APIs.
MetaX-MACA/vLLM-metax
Audit and adapt monkey patches in vllmmetax/patch/ against a target upstream revision.
MetaX-MACA/vLLM-metax
Establish the shared environment, source/runtime correspondence, target confirmation and validation evidence for MetaX vLLM upgrades.
MetaX-MACA/vLLM-metax
Trim large MetaX model directories for dummy smoke tests or real-checkpoint loading on limited GPUs.
Works with
Categories
Review and adapt vllmmetax/registry registrations, quantization configurations, CustomOps and kernel dispatch against a target vLLM revision and installed MetaX APIs. Vllm Metax Registry Upgrade is an agent skill from MetaX-MACA/vLLM-metax. Review and adapt vllmmetax/registry registrations, quantization configurations, CustomOps and kernel dispatch against a target vLLM revision and installed MetaX APIs.
Vllm Metax Registry Upgrade fits situations like: registry compatibility work; not standalone attention algorithms.
Run `npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a claude-code`. Or copy the skill folder (.codex/skills/vllm-metax-registry-upgrade in MetaX-MACA/vLLM-metax) into .claude/skills/vllm-metax-registry-upgrade in your project. Claude Code loads it when a task matches its description.
Run `npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a codex`. Or copy the skill folder (.codex/skills/vllm-metax-registry-upgrade in MetaX-MACA/vLLM-metax) into .agents/skills/vllm-metax-registry-upgrade in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add MetaX-MACA/vLLM-metax --skill vllm-metax-registry-upgrade -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vllm-metax-registry-upgrade, .gemini/skills/vllm-metax-registry-upgrade, .github/skills/vllm-metax-registry-upgrade and .opencode/skills/vllm-metax-registry-upgrade in your project.
SKILL.md names no scripts, command-line tools or credentials: Vllm Metax Registry Upgrade is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Vllm Metax Registry Upgrade is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Vllm Metax Registry Upgrade: SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars), CI Fails Buildkite (guqiong96/Lvllm, 465 stars) and Gptqmodel Tokenizer Normalization (ModelCloud/GPTQModel, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
MetaX-MACA (a GitHub organization) maintains it in MetaX-MACA/vLLM-metax, which has 180 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 10, 2026.
Source: MetaX-MACA/vLLM-metax on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.