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frankxai AI Skills

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Browse published AI skills maintained by frankxai. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

165

Repository stars across indexed skills

192

Repository forks

36

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

165 skills

Browse skills

GitHub

enterprise-ai-patterns

frankxai

Production-grade AI architecture patterns for enterprise - security, governance, scalability, and operational excellence

GitHub

multi-cloud-ai-architect

frankxai

Design and deploy AI workloads across AWS, Azure, GCP, and OCI with intelligent routing, cost optimization, and cross-cloud patterns

GitHub

langgraph-patterns-expert

frankxai

Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow

GitHub

agentic-orchestration

frankxai

Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.

GitHub

mcp-2025-patterns

frankxai

Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2025 MCP ecosystem including multi-server orchestration, security, and performance.

GitHub

finops-ai-expert

frankxai

Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management

GitHub

claude-sdk-expert

frankxai

Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices

GitHub

rag-expert

frankxai

Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures

GitHub

agentic-orchestration

frankxai

Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.

GitHub

nvidia-nim

frankxai

NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud

GitHub

aws-ai-services-expert

frankxai

Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment

GitHub

multi-cloud-ai-architect

frankxai

Design and deploy AI workloads across AWS, Azure, GCP, and OCI with intelligent routing, cost optimization, and cross-cloud patterns

GitHub

enterprise-ai-patterns

frankxai

Production-grade AI architecture patterns for enterprise - security, governance, scalability, and operational excellence

GitHub

genai-dac-specialist

frankxai

Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations

GitHub

oci-services-expert

frankxai

Expert guidance on Oracle Cloud Infrastructure services, cloud architecture patterns, cost optimization, deployment strategies, and OCI best practices for enterprise solutions

GitHub

oracle-agent-spec-expert

frankxai

Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.