DeepSeek Agent
插件市场开发工具infra-skills
DEEPSEEK HARNESS PLUGIN

infra-skills

A collection of specialized agent skills for AI infrastructure development, enabling Claude Code to write, optimize, and debug high-performance systems.

插件介绍

A collection of specialized agent skills for AI infrastructure development, enabling Claude Code to write, optimize, and debug high-performance systems.

ai-infradshdsh-pluginskills

项目详情摘要

AI Infrastructure Agent Skills **⚠️ WARNING** This project is under active development and heavily generated by LLMs without strict proofreading. Use with caution and verify all code before production use. A collection of specialized agent skills for AI infrastructure engineers, covering both technical development (GPU kernels, distributed training, inference optimization) and soft skills (flowchart creation, presentation design). Overview This repository provides expert-level skills tailored for AI infrastructure engineering. Each skill packages domain knowledge, code examples, and best practices to transform Claude into a specialized assistant for specific frameworks and workflows—from writing high-performance CUDA kernels to creating professional technical presentations. Construction Methodology (Unless Otherwise Specified) 1. **Knowledge Gathering**: Use Gemini DeepResearch to collect comprehensive, up-to-date information on target frameworks 2. **Skill Development**: Transform research into structured skills using `skill-creator` in Claude Code 3. **Validation**: Test skill-generated code examples to ensure correctness 4. **Maintenance**: Regular updates based on latest official documentation Available Skills TileLang Developer Write high-performance GPU kernels using TileLang for NVIDIA, AMD, and Ascend hardware. Capabilities:** Matrix multiplication (GEMM) kernels FlashAttention implementations DeepSeek MLA operators Performance optimization (swizzle layouts, pipelining, warp specialization) Cross-platform kernel development Status:** ✅ Complete Megatron Memory Estimator Estimate GPU memory usage for Megatron-based MoE and dense models. Built upon megatron_memory_estimator. Capabilities:** Estimate memory from HuggingFace configs Support for MoE models (DeepSeek-

摘自项目公开 README,可能随上游仓库更新。

安装方法

建议先在测试 Profile 中安装,并检查权限、安装脚本和依赖。

npx -p @deepseek-ai/dsh dsh plugin --profile web add github:yzlnew/infra-skills

使用前检查

  • 确认项目符合 DSH bundle 规范,而不只是相关仓库。
  • 阅读许可证和安装脚本,检查网络、文件及执行权限。
  • 备份配置,并确保插件能够安全卸载或回滚。