Tech Stack
Architecture
Claude Code CLI -> Skills Library (42 custom skills) -> MCP Servers (10+ connected services) -> Custom Agents (12 specialized) -> Git workflow with atomic commits. Memory system for cross-session context.I've been using Claude Code as my primary development environment for 3 months. It's not what you think.
Most People Use Claude Code Wrong: They type a prompt, get code, paste it, fix errors, repeat. That's 2x productivity at best. The real power is in the system you build around it.
The Skills System: Every reusable pattern becomes a skill — a SKILL.md file with instructions, scripts, and typed schemas. When I need lead scraping, I don't write a prompt. Claude reads the scrape-leads skill and executes a battle-tested pattern. 42 skills later, I almost never start from scratch.
MCP Servers — The Game Changer: MCP (Model Context Protocol) lets Claude directly interact with external services. My setup: Zoho CRM for sales data, GitHub for repo management, macOS control for system automation, n8n for workflow triggers. Claude doesn't just write code — it deploys, queries databases, and sends emails.
Custom Agents for Specialized Work: 12 agents, each tuned for a domain. backend-builder for FastAPI APIs. frontend-builder for Next.js. db-architect for schema design. code-reviewer for unbiased review with a PASS/FAIL verdict. Each agent has its own model preference (Opus for complex reasoning, Sonnet for speed).
The CLAUDE.md Pattern: Every project gets a CLAUDE.md file — instructions that Claude reads at the start of every conversation. It contains architecture decisions, coding standards, file paths, and domain context. This eliminates 80% of the "context setting" that wastes time in every AI interaction.
My Daily Workflow: 1. Open project. Claude reads CLAUDE.md and memory files automatically. 2. Describe what I want in natural language. 3. Claude checks skills library, picks the right pattern, writes code. 4. I review the diff, approve or adjust. 5. Claude commits with descriptive messages. 6. For complex tasks, I spawn sub-agents (researcher, builder, tester) in parallel.
The Compound Effect: Week 1: Claude is a smart autocomplete. Month 1: Claude knows my architecture patterns. Month 3: Claude with 42 skills and 10 MCP servers is an entire development team. The investment in skills and tooling pays exponential dividends.
Published and Free:
39 of my skills are published on skills.sh — install with npx skills add aiagentwithdhruv/skills. Works with Claude Code, Cursor, Windsurf, and 40+ other AI agents.
Want to build something like this?
I architect and deploy end-to-end AI systems — from MVP to revenue.
Let's TalkOr ask Angelina — my AI twin in the bottom-right corner. She knows my full build history, live GitHub, and how I'd approach your project.