awesome-ascend-skills
AGENTS.md177 starsChanged 8 months agoNo licenceView on GitHub
本文件指导 AI coding agent 如何阅读、使用、修改和提交 Awesome Ascend Skills 仓库。它不是用户安装文档的替代品；面向的是在本仓内维护 skill、bundle、marketplace、README 和同步脚本的开发者/Agent。 进入仓库后按这个顺序建立上下文： 本地 skill 的正式路径只允许是 skills/<domain>/...。不要在仓库根目录重新放本地 SKILL.md，不要恢复旧的 skills/knowledge/，当前对应目录是 skills/agent-tools/。 本仓同时维护五类对象，修改前先判断目标属于哪一类： skills/ai-for-science/ 是特殊域：其本地 skill 名称保持 ai-for-science-* 语义前缀。 用户安装推荐使用官方 npx skills add…
In this repository40 other files it gives its agents.
- create-prSkill
- skill-creatorSkill
- gitcode-merge-flowSkill
- github-issue-rcaSkill
- github-issue-summarySkill
- tech-docs-guardSkill
- vllm-daily-pr-issue-trackerSkill
- ai-for-science-ai4s-mainSkill
- ai-for-science-ai4s-profilingSkill
- ascend-avi-vnpuSkill
- ascend-dmiSkill
- ascend-dockerSkill
- npu-docker-launcherSkill
- npu-smiSkill
- remote-npu-testSkill
- remote-server-guideSkill
- torch_npuSkill
- ais-benchSkill
- ascend-migration-analysisSkill
- atc-model-converterSkill
- inferencex-reportSkill
- migration-ascend-torchnpu-skillsSkill
- npu-torchair-inferSkill
- vllm-ascend-serverSkill
- vllm-ascendSkill
- vllm-bench-serveSkill
- wan-ascend-adaptationSkill
- ascendcSkill
- ascend-oppluginSkill
- npu-op-benchmarkSkill
- triton-ascend-migrationSkill
- mindspeed-llm-train-profilerSkill
- mindspeed-mm-train-profilerSkill
- profiling-analysisSkill
- pytorch-profiling-collectionSkill
- training-mfu-calculatorSkill
- hccl-testSkill
- rl-msprobeSkill
- torch-npu-comm-testSkill
- verl-quickstartSkill
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