The Ultimate Guide to Claude Skill Creator: How to Benchmark and A/B Test Your AI Agents

💡 What You Will Learn (Intro & Hook) **(Empathize with the Reader’s Problem)** “Can a chatbot built on simple prompts really handle complex, multi-step business workflows with perfect consistency? We’ve all been there: you introduce an AI to automate a task, but it ends up hallucinating answers or losing context, effectively creating *more* work for … Read more

[Part 3] Zero to Alpha: Finding Winning Stocks & Designing Strategies (21-44)

**Source**: [Claude Trading Skills Official Site](https://tradermonty.github.io/claude-trading-skills/en/) **Tags**: #StockPicking #Screener #ClaudeAI #DividendInvesting #RiskManagement #QuantTrading Welcome to the final chapter! By now, you’ve installed the project (Part 1) and learned how to read the market (Part 2). Now for the most exciting part: “What do I buy, and how do I manage it?” In Part 3, we … Read more

[Part 2] Mastering the Market: Claude AI Research & Monitoring Skills (1-20)

**Source**: [Claude Trading Skills Official Site](https://tradermonty.github.io/claude-trading-skills/en/) **Tags**: #MarketAnalysis #ClaudeAI #StockResearch #MacroEconomics #AITrading #FinTech Welcome back! Now that you’ve got Claude set up, it’s time to see what this AI can really do. In Part 2, we’re focusing on the first 20 monitoring and research skills. These tools help you understand the “Big Picture”—is the market … Read more

[Vibe Coding Guide] Architecting Intelligent Systems with Agents and Skills

1. Executive Summary (TL;DR) This guide defines the transition from manual prompt engineering to Agentic System Architecture. We utilize three core layers — .agent (Rules), context (Memory), and skills (Logic) — to build self-evolving AI systems. By the end of this SOP, you will understand how to deploy a professional-grade US Market Analyzer using the … Read more

The SDD Protocol — Post 05: The Orchestrator’s Future: Swarm Governance and MCP Ecosystems

Breaking the Sandbox: The Era of Environmental Mastery For the first few years of the AI revolution, we treated Large Language Models as specialized “brains” that we consulted through a chat window. We would provide context, the AI would think, and it would output text or code. This was the “Sandbox Era”—where the AI was … Read more

The SDD Protocol — Post 04: Integrity at Scale: Verified Execution and Drift Governance

The Implementation Trap If you’ve followed the first three posts of the SDD Protocol, you have a solid Constitution, a Grounded Blueprint, and a set of Audited Atomic Tasks (T-xxx). You are now ready to produce code. But here is where many developers fall back into old habits. They see the AI generating beautiful, clean … Read more