.claude/skills/huawei-cloud-ascend-small-model-migrate1 structural issue
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SKILL.md
Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Migrate vision/detection/segmentation small models to Ascend NPU, covering the full workflow: model structure analysis, migration verification, performance profiling, and optimization. Based on torch_npu and msprof Use this skill when the user wants to: (1) migrate encoder-only models like ResNet, YOLO, UNet to Ascend NPU, (2) analyze model structure for migration feasibility, (3) verify model inference on NPU, (4) identify performance bottlenecks and get optimization suggestions Trigger: user mentions "migrate",…
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.claude/skills/huawei-cloud-ascend-small-model-migrateSKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-ascend-small-model-migrateSKILL.mdSKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-ascend-small-model-migrateSKILL.mdSKILL.mdRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @huaweicloudskill/huawei-cloud-ascend-small-model-migrateclawhub inspect @huaweicloudskill/huawei-cloud-ascend-small-model-migrate --version 1.0.1This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
eval(eval(eval(This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.
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sha256:db2a95891b6925d735b70b8cffd5c71ac753d8b5995801d4fbc13be78356bc4freferences/acceptance-criteria.mdreferences/migration-scripts.mdreferences/profiler-sql.mdreferences/report-template.mdreferences/troubleshooting.mdreferences/verification-method.mdscripts/analyze_model.pyskill-card.mdSKILL.md- Added comprehensive guidance for migrating encoder-only vision models (e.g., YOLO, ResNet, UNet) to Ascend NPU using torch_npu and msprof. - Detailed step-by-step workflow: model structure analysis, migration verification, performance profiling, bottleneck identification, and optimization recommendations. - Clarified supported model types and scenarios; excludes decoder-only large language models. - Provided sample scripts and environment setup instructions for migration and verification. - Listed common triggers and user phrase examples to assist in skill activation.