Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
华为昇腾 NPU 服务器模型quant工具技能,专为在昇腾 NPU 卡上进行大语言模型quant加速,聚焦于msmodelslim已验证模型的快速量化流程,支持量化流程和量化配置的轻微修改。支持 INT4/INT8/INT16 quant,提供完整的quant工作流,包括环境检查、动态方案query、容器deployment、quant执行等。
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills msmodelslim-quant --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/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/inference/msmodelslim/msmodelslim-quant .claude/skills/msmodelslim-quant && 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 "msmodelslim-quant" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/msmodelslim/msmodelslim-quant into .claude/skills/msmodelslim-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "msmodelslim-quant", 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/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/msmodelslim/msmodelslim-quantType 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 ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills msmodelslim-quant --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/inference/msmodelslim/msmodelslim-quant .agents/skills/msmodelslim-quant && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "msmodelslim-quant" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/msmodelslim/msmodelslim-quant into .agents/skills/msmodelslim-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "msmodelslim-quant", 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 ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills msmodelslim-quant --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/inference/msmodelslim/msmodelslim-quant .cursor/skills/msmodelslim-quant && 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 "msmodelslim-quant" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/msmodelslim/msmodelslim-quant into .cursor/skills/msmodelslim-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "msmodelslim-quant", 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/ascend-ai-coding/awesome-ascend-skills.git --path skills/inference/msmodelslim/msmodelslim-quant--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 ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills msmodelslim-quant --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/inference/msmodelslim/msmodelslim-quant .gemini/skills/msmodelslim-quant && 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 "msmodelslim-quant" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/msmodelslim/msmodelslim-quant into .gemini/skills/msmodelslim-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "msmodelslim-quant", 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 ascend-ai-coding/awesome-ascend-skills msmodelslim-quantInstalls 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 ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/inference/msmodelslim/msmodelslim-quant .github/skills/msmodelslim-quant && 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 "msmodelslim-quant" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/msmodelslim/msmodelslim-quant into .github/skills/msmodelslim-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "msmodelslim-quant", 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 ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills msmodelslim-quant --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/inference/msmodelslim/msmodelslim-quant .opencode/skills/msmodelslim-quant && 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 "msmodelslim-quant" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/msmodelslim/msmodelslim-quant into .opencode/skills/msmodelslim-quant/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "msmodelslim-quant", 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.
msmodelslim-quant华为昇腾 NPU 服务器模型quant工具技能,专为在昇腾 NPU 卡上进行大语言模型quant加速,聚焦于msmodelslim已验证模型的快速量化流程,支持量化流程和量化配置的轻微修改。支持 INT4/INT8/INT16 quant,提供完整的quant工作流,包括环境检查、动态方案query、容器deployment、quant执行等。
Msmodelslim Quant is an agent skill from ascend-ai-coding/awesome-ascend-skills. 华为昇腾 NPU 服务器模型quant工具技能,专为在昇腾 NPU 卡上进行大语言模型quant加速,聚焦于msmodelslim已验证模型的快速量化流程,支持量化流程和量化配置的轻微修改。支持 INT4/INT8/INT16 quant,提供完整的quant工作流,包括环境检查、动态方案query、容器deployment、quant执行等。
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `references/ecosystem.md`, `references/npu-models.md` and `references/official-resources.md`).
It sits in DevOps & Cloud, covering Deployment. The repository describes itself as: A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 62a4ecb. 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.
Ships 6 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
sshpipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
mirrors.aliyun.comFrom 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.
Msmodelslim Quant loads about 1.1k tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 275 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 275 words (~1,050 tokens).
“华为 msmodelslim quant工具技能 - 动态 query + 容器化deployment”
SKILL.md and 12 other files (scripts, references) in skills/inference/msmodelslim/msmodelslim-quant of ascend-ai-coding/awesome-ascend-skills.
Open the folder on GitHubat commit 62a4ecb
Msmodelslim Quant 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 |
|---|---|---|---|---|---|---|
| Msmodelslim Quant this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~1.1k | Automated safety check: Pass | None | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Vercelremotion-dev/remotion | 62k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT |
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
remotion-dev/remotion
Set up a Codex monitor for Vercel deployments and preview URLs.
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
ascend-ai-coding/awesome-ascend-skills
当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景: - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽(h2d/d2h/d2d/p2p) - 跑算力/功耗基准测试(TFLOPS、TOPS) - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试(aicore、内存) - 复位/恢复卡住或异常的 NPU 卡 典型用户问题(即使不提…
ascend-ai-coding/awesome-ascend-skills
End-to-end AscendC custom operator development for Ascend NPU in an ascend-kernel (csrc/ops + build.sh + torchnpu PyTorch custom op) project.
ascend-ai-coding/awesome-ascend-skills
Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation.
ascend-ai-coding/awesome-ascend-skills
当需要编写 PyPTO 算子实现时使用此 skill。基于需求规格、设计方案和参考实现,生成完整可运行的 PyPTO 算子实现与配套测试、文档。Triggers: 实现算子、写 kernel、编写实现、写 impl、算子编码、开始编码、code the op、写 test、生成测试、写实现代码、op develop、kernel 实现。
ascend-ai-coding/awesome-ascend-skills
Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events.
ascend-ai-coding/awesome-ascend-skills
Track and normalize change requests against the official Megatron-LM repository by branch, PR, commit, commit range, or time window.
Categories
华为昇腾 NPU 服务器模型quant工具技能,专为在昇腾 NPU 卡上进行大语言模型quant加速,聚焦于msmodelslim已验证模型的快速量化流程,支持量化流程和量化配置的轻微修改。支持 INT4/INT8/INT16 quant,提供完整的quant工作流,包括环境检查、动态方案query、容器deployment、quant执行等。. Msmodelslim Quant is an agent skill from ascend-ai-coding/awesome-ascend-skills.
Msmodelslim Quant fits situations like: tasks that involve Deployment.
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a claude-code`. Or copy the skill folder (skills/inference/msmodelslim/msmodelslim-quant in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/msmodelslim-quant in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a codex`. Or copy the skill folder (skills/inference/msmodelslim/msmodelslim-quant in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/msmodelslim-quant 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 ascend-ai-coding/awesome-ascend-skills --skill msmodelslim-quant -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/msmodelslim-quant, .gemini/skills/msmodelslim-quant, .github/skills/msmodelslim-quant and .opencode/skills/msmodelslim-quant in your project.
Going by SKILL.md and its folder, Msmodelslim Quant needs a shell for the scripts in its folder and the command-line tools its instructions call (ssh and pip). Our summary lists: A Bash shell; Docker.
SKILL.md names 1 domain. In commands or code: mirrors.aliyun.com; the agent is likely to contact it when it follows the instructions. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Msmodelslim Quant or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.1k tokens (SKILL.md is roughly 4.2k 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 665 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Msmodelslim Quant: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars) and Vercel (remotion-dev/remotion, 62k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 8, 2026.
Source: ascend-ai-coding/awesome-ascend-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.