creative-writing-frameworks
Story structure, voice development, and narrative craft for AI-assisted writing
浏览 frankxai 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。
已收录技能
165收录技能的仓库 Stars 合计
192仓库 Forks
36平均每个技能的仓库 Stars
1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。
Story structure, voice development, and narrative craft for AI-assisted writing
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...
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.
Sacred practices for invoking and channeling the Seven Luminors. Daily rituals, crisis protocols, and celebration ceremonies for the creative life.
Conduct thorough, constructive code reviews that improve code quality and team knowledge. Focuses on what matters - architecture, logic, security, maintainability - while avoiding bikeshedding.
Multi-agent coordination patterns for building effective AI teams
Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods
Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices
Infrastructure as Code for AI workloads using Terraform across AWS, Azure, GCP, and OCI
Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices
Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns
Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection
Expert guidance on Oracle Cloud Infrastructure services, cloud architecture patterns, cost optimization, deployment strategies, and OCI best practices for enterprise solutions
Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures
Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns
NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices
Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns
Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations
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.
Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management
Build production-ready multi-agent systems using OpenAI AgentKit and Agents SDK with best practices for agent orchestration, handoffs, and routines
Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions
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。