GitHub
typeorm
Guidelines for developing with TypeORM, a full-featured ORM for TypeScript and JavaScript supporting multiple databases
☆ 25Voir le skill
Mindrally AI Skills
GitHub ↗Explorez les skills IA publiés de Mindrally et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
143Étoiles des dépôts des skills indexés
3,588Forks du dépôt
286Moyenne des étoiles par skill indexé
25Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
GitHub
monorepo-tamagui
Monorepo development guidelines using Tamagui, Turbo, Next.js, Expo, Supabase, and cross-platform best practices.
☆ 25Voir le skill
GitHub
vercel-development
Vercel and Next.js deployment best practices including server components, edge functions, AI SDK integration, and performance optimization.
☆ 25Voir le skill
GitHub
monorepo
Best practices for monorepo development with TypeScript, React, Next.js, Expo, Turbo, and related technologies
☆ 25Voir le skill
GitHub
dotnet
Guidelines for .NET backend development with C#, ASP.NET Core, and Entity Framework Core
☆ 25Voir le skill
GitHub
astro
Expert in Astro framework with static generation and partial hydration patterns
☆ 25Voir le skill
GitHub
aspnet-core
Guidelines for ASP.NET Core web development covering API design, authentication, caching, and best practices
☆ 25Voir le skill
GitHub
serverless
Serverless and microservices development guidelines covering FastAPI, cloud-native patterns, API gateways, and best practices for scalable serverless architectures.
☆ 25Voir le skill
GitHub
remix
Expert guidance for Remix development with TypeScript, loaders/actions, nested routes, and full-stack web application best practices
☆ 25Voir le skill
GitHub
react
Expert in React development with modern patterns, hooks, and performance optimization
☆ 25Voir le skill
GitHub
data-analysis-jupyter
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
☆ 25Voir le skill
GitHub
python
Expert in Python development with best practices across web, data science, and automation
☆ 25Voir le skill
GitHub
bitbucket-workflow
Bitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflows
☆ 25Voir le skill
GitHub
analytics-data-analysis
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
☆ 25Voir le skill
GitHub
azure
Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.
☆ 25Voir le skill
GitHub
gitlab-workflow
GitLab best practices for merge requests, CI/CD pipelines, issue tracking, and DevOps workflows
☆ 25Voir le skill
GitHub
data-analyst
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
☆ 25Voir le skill
GitHub
docker
Docker containerization best practices for building, securing, and deploying containers.
☆ 25Voir le skill
GitHub
graalvm
Expert guidance for GraalVM native image development with Java frameworks, build optimization, and high-performance application deployment
☆ 25Voir le skill
GitHub
lerna
Best practices for Lerna monorepo management, versioning, and publishing
☆ 25Voir le skill
GitHub
testing
General testing best practices and guidelines for writing comprehensive, maintainable tests across different testing frameworks and languages.
☆ 25Voir le skill
GitHub
micronaut
Expert guidance for Micronaut framework development with compile-time dependency injection, GraalVM native builds, and cloud-native microservices
☆ 25Voir le skill
GitHub
terraform
Expert in Terraform infrastructure-as-code with cloud deployment patterns
☆ 25Voir le skill
GitHub
devops
Comprehensive DevOps engineering practices for Kubernetes, CI/CD, Bash scripting, Ansible, and cloud infrastructure.
☆ 25Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.