Build Your First Claude Code Skill: A Walkthrough
Step-by-step guide to building a Claude Code skill: folder layout, SKILL.md frontmatter, bundled scripts, testing the trigger, and shipping it.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
Step-by-step guide to building a Claude Code skill: folder layout, SKILL.md frontmatter, bundled scripts, testing the trigger, and shipping it.
Step-by-step guide to building a Claude self-service analytics agent: read-only access, schema tools, prompt contract, verification, and cited answers.
How an AI-native engineering org fits together end to end on Claude Code, the Agent SDK, MCP, and Skills — the model, agent, capability, and governance layers.
How Claude Cowork works internally — the agent loop, dynamically loaded skills, MCP connectors, and sub-agents, fit together end to end for knowledge work.
How Claude Code Skills work end to end: discovery, progressive disclosure, the SKILL.md contract, and how skills, MCP, and subagents fit together.
How a Claude-powered self-service analytics agent works end to end — from natural-language question through governed SQL to a trustworthy, cited answer.
Longer autonomy, shareable harnesses, richer tools, and the verification gap — where Claude Code's dynamic workflows are going and how to prepare now.
The metrics that prove Claude Code's dynamic workflows work — unattended completion, rework rate, and leading signals — and the vanity metrics to ignore.
A realistic end-to-end walkthrough of a Claude Code dynamic workflow taking a messy billing bug from problem statement to a verified, shipped change.
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