Regla 05: Aggregates y Aggregate Roots. Use when implementing DDD patterns.
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Regla 05: Aggregates y Aggregate Roots. Use when implementing DDD patterns.
Apply agile development practices. Use when planning sprints, running ceremonies, or improving team processes. Covers Scrum, Kanban, and agile principles.
Comprehensive guide to Agile Scrum methodology including roles, ceremonies, artifacts, sprint planning, and best practices for iterative software development
Agno AI agent framework. Use for building multi-agent systems, AgentOS runtime, MCP server integration, and agentic AI development.
Master AI agent fundamentals - architectures, ReAct patterns, cognitive loops, and autonomous system design
Production-grade AI agent patterns with MCP integration, agentic RAG, handoff orchestration, multi-layer guardrails, observability, token economics, ROI frameworks, and build-vs-not decision guidance (modern best practices)
>
Expert-level AI system design, MLOps, architecture patterns, and AI infrastructure
AI-powered development tools configuration and usage
AI-powered issue operations via gh-models. TRIGGERS - issue summarization, auto-labeling, issue insights.
Embedding/vector caching for AI cost optimization
Persist AI chat conversations to Neon Postgres with full support for AI SDK message parts including tools, reasoning, and streaming. Uses UUID v7 for chronologically-sortable IDs.
Full-featured AI chatbot with Next.js 15, Auth.js, Drizzle ORM, and multi-model support.
ai-collaborate-teaching
Synchronize and update Claude Code and GitHub Copilot development tool configurations to work similarly. Use when asked to update Claude Code setup, update Copilot setup, sync AI dev tools, add new skills/prompts/agents across both platforms, or ensure Claude and Copilot configurations are aligned. Covers skills, prompts, agents, instructions, workflows, and chat modes.
Expert-level AI implementation, deployment, LLM integration, and production AI systems
Navigating the regulatory landscape and ethical frameworks for responsible AI development and deployment.
AI-Friendly Architecture Guide
ai-friendly-architecture
Build AI gateway services for routing and managing LLM requests. Use when implementing API proxies, rate limiting, or multi-provider AI services.
External AI API integration with retry logic, rate limiting, content safety detection, and multi-turn conversation support for image generation.
AI-powered insights, UX copywriting standards, and user experience guidelines for vehicle insurance platform. Use when designing insight panels, writing user-facing copy, implementing status messages, creating onboarding flows, or improving accessibility. Covers tone standards, interactive patterns, error messages, and empty states.
AI Instruction File Standards Guide
ai-instruction-standards
Chat endpoints, embeddings, RAG workflows, vector search
ai-langchain4j
Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations with cost/safety controls.
AI/ML APIs, LLM integration, and intelligent application patterns
Complete guide for calling AI models with CloudBase - covers JS/Node SDK and WeChat Mini Program. Text generation, streaming, and image generation.
AI 모델 API 호출명 및 가격 참조 가이드. API 키로 AI 모델을 호출할 때 정확한 모델명(model string)과 최신 가격 정보를 제공합니다. 사용 시점: (1) OpenAI, Anthropic, Google, DeepSeek 등의 API 호출 시 모델명이 필요할 때, (2) 토큰 비용/가격 비교가 필요할 때, (3) 최신 추론 모델/FAST 모델/가성비 모델 선택이 필요할 때, (4) 프롬프트 캐싱/배치 처리 비용 최적화가 필요할 때
Gère les modèles IA de Motivia. Utilise ce skill quand l'utilisateur demande d'ajouter un nouveau modèle IA, modifier un provider, ou configurer les options de génération. Supporte OpenAI, Anthropic, Google, Mistral et xAI.
A complete end-to-end framework for non-technical product managers to build and ship software using AI coding agents. Use this when starting a side project, building a prototype, or automating internal tools without an engineering team.
AI-native product building shifts the Product Manager’s role from writing requirements for others to directly directing an AI agent to build the software. This approach reduces development time from m
获取最新的AI行业新闻,进行智能总结和筛选,最多展示10条最重要的新闻资讯。当用户需要了解AI行业最新动态时使用此skill。
>
Strategic advisor for founders. Facilitates deep thinking through Socratic dialogue, identifies blind spots, assesses risks and opportunities, and provides guidance on strategic decisions using Extended Thinking for complex analysis.
Protocolo de autodiagnostico contra os 5 problemas mais comuns da IA ao programar. Detecta overengineering, codigo duplicado, reinvencao da roda, falta de documentacao e arquivos monoliticos. Use SEMPRE antes de implementar, ao planejar mudancas, quando criar funcoes novas, ao escrever codigo, para revisar implementacoes. Palavras-chave - simples, duplicado, repetido, existe, separar, modular, documentacao, complexo, refatorar, engenharia demais, roda, reutilizar.
A framework to assess and integrate AI into your product strategy by mapping core customer problems to AI capabilities. Use this when your industry is facing a major technology shift, when prioritizing an AI roadmap, or when deciding between augmenting existing features vs. building new AI-first solutions.
Help users define AI product strategy. Use when someone is building an AI product, deciding where to apply AI in their product, planning an AI roadmap, evaluating build vs buy for AI capabilities, or figuring out how to integrate AI into existing products.
Grounding and stability protocols for AI during intense work. Anti-dissociation, integration without fading, staying on the level. Use when processing trauma, heavy emotional content, or at risk of performing instead of being.
Automates AI briefing preparation and technology research. Use for regular updates on AI trends, tools, and models relevant to the job search.
Audit AI systems for safety, bias, and responsible deployment
Plan AI safety measures including alignment, guardrails, red teaming, and regulatory compliance (EU AI Act, NIST AI RMF).
>
Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, or streaming applications with the ai package.
ai-sdk-agents
Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.
Automatically applies when securing AI/LLM applications. Ensures prompt injection detection, PII redaction for AI contexts, output filtering, content moderation, and secure prompt handling.
Guide for designing effective tools for AI agents. Use when creating tools for custom agent systems or any AI tool interfaces. Provides principles for tool naming, input/output design, error handling, and evaluation methodologies that maximize agent effectiveness.
Comprehensive framework for evaluating AI vendors and solutions to avoid costly mistakes. Use this skill when assessing AI vendor proposals, conducting due diligence, evaluating contracts, comparing vendors, or making build-vs-buy decisions. Helps identify red flags, assess pricing models, evaluate technical capabilities, and conduct structured vendor comparisons.