GitHub
chrome-extension
Chrome extension development guide. Use for creating browser extensions, manifest files, background scripts, content scripts, Chrome APIs, and publishing extensions on Chrome Web Store.
rish2jain AI Skills
GitHub ↗Explorez les skills IA publiés de rish2jain et consultez leurs instructions source.
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Skills indexés
8Étoiles des dépôts des skills indexés
0Forks du dépôt
0Moyenne des étoiles par skill indexé
0Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
chrome-builtin-ai
Chrome Built-in AI APIs for client-side AI features. Use for Writer API, Rewriter API, Proofreader API, Prompt API, Translator API, Language Detector API, Summarizer API, and building AI-powered web application...
GitHub
nvidia-nemo
NVIDIA NeMo framework for building and training conversational AI models. Use for NeMo Retriever models, RAG (Retrieval-Augmented Generation), embedding models, enterprise search, and multilingual retrieval sys...
GitHub
nvidia-nim
NVIDIA NIM (NVIDIA Inference Microservices) for deploying and managing AI models. Use for NIM microservices, model inference, API integration, and building AI applications with NVIDIA's inference infrastructure...
GitHub
aws-sagemaker
Amazon SageMaker for building, training, and deploying machine learning models. Use for SageMaker AI endpoints, model training, inference, MLOps, and AWS machine learning services.
GitHub
nvidia-api
NVIDIA API documentation for integrating NVIDIA services. Use for NVIDIA NIM (NVIDIA Inference Microservices), LLM APIs, visual models, multimodal APIs, retrieval APIs, healthcare APIs, and CUDA-X microservices...
GitHub
aws-eks
Amazon Elastic Kubernetes Service (EKS) for running Kubernetes on AWS. Use for container orchestration, deploying applications, managing clusters, and Kubernetes workloads on AWS.
GitHub
aws-prescriptive-guidance
AWS Prescriptive Guidance for best practices and architectural patterns. Use for AWS architecture recommendations, SageMaker AI endpoints guidance, deployment patterns, and AWS solution architectures.
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.