In-depth guides.
Practical, step-by-step guides that go beyond a single term — system prompt cookbook, MCP server catalog, token-reduction techniques, model selection and more.
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Do you need AI, ML, or just an LLM?
How to decide between AI, classical machine learning, and a large language model for a new feature — a decision flow with real scenarios.
DecisionAIML - 🛠️
Build Your Own MCP Server
Write an MCP server from scratch that adds capabilities to your own AI assistant — a local task-manager scenario, TypeScript and Python examples, works with any MCP-compatible host.
MCPServerSDK - ⚡
Claude Skills Guide
Install, explore, and write Claude Code skills — modular instruction packs that change behavior with one slash command.
Claude CodeSkillsProductivity - 📈
Practical Forecasting Guide
ARIMA, Prophet, LightGBM, or deep learning? A practical guide to choosing the right approach for a forecasting problem.
ForecastingTime SeriesPractical - 🔌
MCP Server Catalog
A categorized list of MCP servers that connect Claude to the outside world — installation, configuration, secure use.
MCPToolsCatalog - 📝
System Prompt Guide
Ten real-world system prompts for different personas, why each is written that way, and how to avoid the most common pitfalls.
System PromptPromptingExamples - ✂️
Token Reduction Techniques
Practical ways to cut token cost when using LLMs — prompt compression, caching, structured output, smart RAG, and more.
TokensCostOptimization
From token cost to GPU sizing — practical answers to the questions you face when shipping AI.