# How I Architected 84 Custom Skills for Claude Code to Automate My Daily Engineering

> Source: <https://dev.to/yevhen_shaforostov_5a73a4/how-i-architected-84-custom-skills-for-claude-code-to-automate-my-daily-engineering-3fap>
> Published: 2026-08-28 22:28:35+00:00

I've been using Anthropic's **Claude Code** and autonomous coding agents in production daily as an AI Product Manager & Full-Stack AI Engineer at a B2B SaaS platform.

Like many engineers, my initial workflow consisted of pasting massive, 50-line system prompts into every new session:

This approach quickly broke down. Monolithic prompts lead to **context window degradation**, token bloat, and subtle hallucinations where the LLM forgets critical constraints halfway through a refactor.

To solve this, I designed a **Modular Skill Architecture**. Today, I want to break down how it works, the anatomy of a skill file, and how you can implement this in your own projects.

Instead of loading all domain rules at once, we partition our engineering knowledge into isolated, self-contained **Domain Skills** stored in `~/.claude/skills/`

(or `~/.gemini/config/skills/`

).

Each skill contains:

When Claude detects you are tackling a specific domain (e.g., writing unit tests or debugging an agent), it dynamically indexes and injects only the necessary skill into active memory.