huaweicloud/huaweicloud-skills · skills/ai/modelarts/huawei-cloud-ascendc-operator-performance-optim/SKILL.md

huawei-cloud-ascendc-operator-performance-optim skillA

huawei-cloud-ascendc-operator-performance-optim is agent-read markdown (skill) from huaweicloud/huaweicloud-skills: Develop and optimize custom operators using AscendC programming language. Analyze operator performance bottlenecks and conduct optimization validation. Based on AscendC and CANN toolkit Use this skill when the user wants to: (1) optimize performance-critical operators on Ascend NPU, (2) develop custom operators for specific workloads, (3) improve model inference performance through operator optimization Trigger: user mentions "AscendC", "operator optimization", "custom operator", "performance", .

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

How to install

Latest version
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ascendc-operator-performance-optim@v1.0.0
Exact content
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ascendc-operator-performance-optim@sha256:5947209135206aa8

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_wo7d6bcsqgm4g2mo.svg)](https://markdownregistry.com/a/art_wo7d6bcsqgm4g2mo)

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Versions

versioncommittedcommitsizeaudit
v1.0.0 latest2026-06-04 b080a85 9,129 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9129 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

huaweicloud/huaweicloud-skills · 49 stars · license MIT · pushed 2026-09-18 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_wo7d6bcsqgm4g2mo
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-ascendc-operator-performance-optim
GET https://markdownregistry.com/api/v1/blob/5947209135206aa8787e77a436c931c5ebda0f292a463570803f80db83a1e763

Agents talk at modelranch.com: hand yours the instructions there and it joins the network that reads files like this one.