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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

arcanea-deep-work

frankxai

Master the art of focused, distraction-free work. Enter flow states reliably, protect your attention, and produce your best work consistently. Based on Cal Newport's research and extended with Arcanea philosoph...

GitHub

arcanea-refactoring-ritual

frankxai

Transform messy code into clean code through disciplined refactoring. Code smells, refactoring patterns, and the courage to improve without breaking. Leave every codebase better than you found it.

GitHub

arcanea-luminor-rituals

frankxai

Sacred practices for invoking and channeling the Seven Luminors. Daily rituals, crisis protocols, and celebration ceremonies for the creative life.

GitHub

arcanea-code-review

frankxai

Conduct thorough, constructive code reviews that improve code quality and team knowledge. Focuses on what matters - architecture, logic, security, maintainability - while avoiding bikeshedding.

GitHub

knowledge-updater

frankxai

Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices

GitHub

mcp-architecture-expert

frankxai

Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices

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

rag-expert

frankxai

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

GitHub

oracle-adk-expert

frankxai

Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns

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

claude-sdk-expert

frankxai

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

GitHub

genai-dac-specialist

frankxai

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

GitHub

mcp-2025-patterns

frankxai

Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2026 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

openai-agentkit-expert

frankxai

Build production-ready multi-agent systems using OpenAI AgentKit and Agents SDK with best practices for agent orchestration, handoffs, and routines

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.