huawei-cloud-ascendc-operator-performance-optim SKILL.md skillA

huawei-cloud-ascendc-operator-performance-optim from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ascendc-operator-performance-optim@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
huaweicloud/huaweicloud-skills
Path
skills/ai/modelarts/huawei-cloud-ascendc-operator-performance-optim/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Jun 4, 2026
Size
9,129 bytes
Repository stars
59
License
MIT

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…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Huawei Cloud AscendC Operator Performance Optimization

## Overview

This skill provides guidance for developing and optimizing custom operators using AscendC programming language.

**Architecture**: Performance Analysis → Bottleneck Identification → Operator Development → Optimization → Validation

**Related Skills**:
- `huawei-cloud-ascend-profiler-db-explorer` - Performance data analysis and bottleneck identification
- `huawei-cloud-ascend-small-model-migrate` - Migration workflow that may require operator optimization

## Architecture Components

This skill involves the following cloud services and components:
- **AscendC**: Programming language for custom operator development
- **CANN**: Huawei Cloud AI Computing Platform for NPU
- **Ascend 910B**: Target NPU hardware for operator deployment
- **Ascend Profiler**: Performance analysis tool for validation

**Architecture Diagram:**
```
┌─────────────────────────────────────────────────────────────┐
│            AscendC Operator Optimization Skill             │
├─────────────────────────────────────────────────────────────┤
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐ │
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-ascendc-operator-performance-optim@sha256:5947209135206aa8

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

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

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Jun 4, 2026.

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

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 · 59 stars · license MIT · pushed 2026-11-07 · 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

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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