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Mindrally AI Skills

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浏览 Mindrally 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

143

收录技能的仓库 Stars 合计

3,588

仓库 Forks

286

平均每个技能的仓库 Stars

25

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

143 个技能

全部技能

GitHub

typeorm

Mindrally

Guidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databases

GitHub

monorepo-tamagui

Mindrally

Monorepo development guidelines using Tamagui, Turbo, Next.js, Expo, Supabase, and cross-platform best practices.

GitHub

vercel-development

Mindrally

Vercel and Next.js deployment best practices including server components, edge functions, AI SDK integration, and performance optimization.

GitHub

monorepo

Mindrally

Best practices for monorepo development with TypeScript, React, Next.js, Expo, Turbo, and related technologies

GitHub

dotnet

Mindrally

Guidelines for .NET backend development with C#, ASP.NET Core, and Entity Framework Core

GitHub

astro

Mindrally

Expert in Astro framework with static generation and partial hydration patterns

GitHub

aspnet-core

Mindrally

Guidelines for ASP.NET Core web development covering API design, authentication, caching, and best practices

GitHub

serverless

Mindrally

Serverless and microservices development guidelines covering FastAPI, cloud-native patterns, API gateways, and best practices for scalable serverless architectures.

GitHub

remix

Mindrally

Expert guidance for Remix development with TypeScript, loaders/actions, nested routes, and full-stack web application best practices

GitHub

react

Mindrally

Expert in React development with modern patterns, hooks, and performance optimization

GitHub

data-analysis-jupyter

Mindrally

Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

GitHub

python

Mindrally

Expert in Python development with best practices across web, data science, and automation

GitHub

bitbucket-workflow

Mindrally

Bitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflows

GitHub

azure

Mindrally

Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.

GitHub

gitlab-workflow

Mindrally

GitLab best practices for merge requests, CI/CD pipelines, issue tracking, and DevOps workflows

GitHub

data-analyst

Mindrally

Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.

GitHub

docker

Mindrally

Docker containerization best practices for building, securing, and deploying containers.

GitHub

graalvm

Mindrally

Expert guidance for GraalVM native image development with Java frameworks, build optimization, and high-performance application deployment

GitHub

lerna

Mindrally

Best practices for Lerna monorepo management, versioning, and publishing

GitHub

testing

Mindrally

General testing best practices and guidelines for writing comprehensive, maintainable tests across different testing frameworks and languages.

GitHub

micronaut

Mindrally

Expert guidance for Micronaut framework development with compile-time dependency injection, GraalVM native builds, and cloud-native microservices

GitHub

terraform

Mindrally

Expert in Terraform infrastructure-as-code with cloud deployment patterns

GitHub

devops

Mindrally

Comprehensive DevOps engineering practices for Kubernetes, CI/CD, Bash scripting, Ansible, and cloud infrastructure.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。