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NVIDIA AI Platform · ascend-ai-coding/awesome-ascend-skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events. | ascend-ai-coding/ | 174 | — | ~1.2k | Automated safety check: Pass | No licence | yesterday |
| 2 | Track and normalize change requests against the official Megatron-LM repository by branch, PR, commit, commit range, or time window. | ascend-ai-coding/ | 174 | — | ~1.1k | Automated safety check: Pass | No licence | yesterday |
| 3 | Map migration-relevant Megatron changes onto the official MindSpeed repository by resolving branch alignment, locating affected subsystems, and identifying concrete adaptation points. | ascend-ai-coding/ | 174 | — | ~1.3k | Automated safety check: Pass | No licence | yesterday |
| 4 | Automatically fetch InferenceX benchmark data and generate daily performance reports for LLM inference on various hardware (NVIDIA, AMD, etc.). | ascend-ai-coding/ | 174 | — | ~1.1k | Automated safety check: Pass | No licence | yesterday |
| 5 | Verl 分布式训练服务一键拉起与配置。触发场景：(1) 用户要启动 Verl 训练任务或部署 RLHF/DAPO 训练环境 (2) 在 NPU 集群上拉起 Verl 训练容器 (3) 配置 Ray 集群和 SwanLab 监控 (4) 根据 7 位二进制掩码灵活配置加速特性。支持 Qwen3-8B 等 Megatron 模型的 DAPO 训练全流程。 | ascend-ai-coding/ | 174 | — | ~2k | Automated safety check: Pass | No licence | yesterday |
| 6 | Generate migration deliverables for bringing relevant Megatron changes into MindSpeed after branch alignment and impact mapping are complete. | ascend-ai-coding/ | 174 | — | ~1.3k | Automated safety check: Pass | No licence | yesterday |
| 7 | Verl 单异步 DAPO 训练配置生成器。触发场景：(1) 启动单异步 DAPO 训练 (2) 生成训练脚本 (3) 配置特性参数 (4) 训练前检查。特性策略：用户未指定时默认开启性能特性（flashattn/dynamicbatch/removepadding/gradientcheckpointing），显存特性（offload/recompute）默认关闭。OOM… | ascend-ai-coding/ | 174 | — | ~1.2k | Automated safety check: Pass | No licence | yesterday |
| 8 | MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU. | ascend-ai-coding/ | 174 | — | ~3.1k | Automated safety check: Pass | No licence | yesterday |
| 9 | Universal VLM (vision-language understanding model) training guide for Huawei Ascend NPU using MindSpeed-MM. | ascend-ai-coding/ | 174 | — | ~5.2k | Automated safety check: Pass | No licence | yesterday |
| 10 | Generates an executable, end-to-end VERL reinforcement learning quickstart runbook for Ascend/NPU (docker image, dataset preprocessing, model setup, mainppo training, and examples/run.sh flow). | ascend-ai-coding/ | 174 | — | ~592 | Automated safety check: Pass | No licence | yesterday |
