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Lifestyle AI Skills

Discover Lifestyle skills, compare source repositories and read the instructions for each workflow.

Categories: Lifestyle

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shell-tools

pluginagentmarketplace

Production-grade shell tools - jq, xargs, parallel, pipelines

GitHub

scaling-patterns

pluginagentmarketplace

Enterprise scaling patterns for microservices, event-driven architecture, and distributed systems

GitHub

backend-patterns

pluginagentmarketplace

Production-grade backend patterns for Node.js, Python, Go, and Java/Spring frameworks

GitHub

api-architecture

pluginagentmarketplace

REST, GraphQL, and hybrid API architecture patterns for building scalable and maintainable APIs

GitHub

testing

pluginagentmarketplace

API testing strategies and contract testing

GitHub

rest

pluginagentmarketplace

RESTful API design principles and best practices

GitHub

devops-patterns

pluginagentmarketplace

Infrastructure, deployment, and operations patterns for Docker, Kubernetes, and CI/CD

GitHub

frontend-patterns

pluginagentmarketplace

Frontend development and API integration patterns for React, TypeScript, and state management

GitHub

tool-calling

pluginagentmarketplace

Implement tool calling - function schemas, API integration, validation, and error handling

GitHub

rag-systems

pluginagentmarketplace

Build RAG systems - embeddings, vector stores, chunking, and retrieval optimization

GitHub

agent-memory

pluginagentmarketplace

Implement agent memory - short-term, long-term, semantic storage, and retrieval

GitHub

agent-safety

pluginagentmarketplace

Ensure agent safety - guardrails, content filtering, monitoring, and compliance

GitHub

ai-agent-basics

pluginagentmarketplace

Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design

GitHub

llm-integration

pluginagentmarketplace

Integrate LLMs into applications - APIs, prompting, fine-tuning, and context management

GitHub

multi-agent

pluginagentmarketplace

Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures

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.

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