llm-and-ai-cost-optimization
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
OpenAI Agents SDK - A lightweight, powerful framework for building multi-agent workflows with Python
**VIBE CODING ORCHESTRATOR v5.0** - 16개 AI 스킬 자동 조율 시스템. 비개발자도 프로급 코딩. 바이브 코딩에서 프로덕션까지. 4단계 성숙도 모델. 2025 현대 도구 통합.
Allows Claude to directly start Ralph-Wiggum autonomous loops without user commands. Use when user asks to "start a ralph loop", "run ralph", wants autonomous iteration, says "keep working until done", or when a complex task would benefit from multiple iterations.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Meaning engine that translates intention into safe, effective symbolic experience
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
Generate images using Google Gemini's image generation APIs via Python CLI. Use for "generate image", "create image", "gemini image", "AI image", or when needing AI image generation in Claude Code.
一个简单安全的 Hello World skill,演示基本的系统信息显示功能。用于对比安全和不安全的 skill 示例。
Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques
Initialize a new feature area for exploration and decision-making. Use when user says "create feature {feature-name}" or "new feature {feature-name}". Creates folder structure with readme.md and investigations directory.
Replace with description of the skill and when Claude should use it.
Plan what to measure in AI agent systems using tiered approach
MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows
What this skill does and when to use it. Include trigger words users would naturally say. Max 1024 chars.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
Core prompt engineering and context engineering best practices for Claude Code prompts.
Trace agent decision-making, tool selection, and reasoning chains
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search in FastAPI backends. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Zero-config persistent memory for Claude with automatic cost savings. Use when you need to remember project context, reduce API token costs, track learned patterns, manage memories across sessions, or curate/clean up memories. Automatically compresses context 6x and saves 84% on API costs. Keywords: memory, remember, recall, context, cost savings, reduce tokens, learn, patterns, insights, curate, clean up memories, review memories.