8 Claude Code Features That Turn You From Beginner to Power User
Most people use Claude Code like a chatbot that can edit files. They type a question, get an answer, type another question. That’s maybe 10% of what it can do.
I run a fintech startup with Claude Code. We ship SEO articles, sales decks, investor materials and email campaigns. Almost all of it goes through Claude Code. Not because I’m technical (I’m not an engineer), but because I invested the time to learn the features that turn it from a tool into a system.
Here are the 8 that made the biggest difference.
1. CLAUDE.md: Your Operating Manual
Every project gets a CLAUDE.md file at its root. This is how Claude knows what to do before you say a word. What the project is, what the rules are, which files matter, how to talk to you. It loads automatically at the start of every session.
I have 19+ of these across my projects. The global one (at ~/.claude/CLAUDE.md) encodes my working style: infrastructure first, teach as you go, challenge my ideas instead of just executing them. Project-level ones get specific: “this project uses Webflow, never upload partial drafts” or “all financial content must pass German securities law compliance checks.” I even have style rules in there like “never use em dashes.” Claude follows them every time, in every project.
The result: Claude starts every session already knowing context that would take a human collaborator weeks to absorb.
Beginner move: Typing the same context into every conversation.
Pro move: Writing it once in CLAUDE.md and never repeating yourself.
2. MCP Servers: Claude Talks to Your Tools
MCP (Model Context Protocol) servers let Claude talk to external tools natively. I have three configured:
Notion for our sales pipeline and project tracking.
Asana for task management.
Pexels for sourcing stock photos when publishing blog articles.
This means Claude can check our sales pipeline, create tasks, and find images without me copy-pasting anything between apps. It reaches into the tool directly.
There are MCP servers for Slack, Gmail, PostgreSQL, GitHub, and dozens more. Anything with an API can become a tool Claude uses autonomously.
Beginner move: Copy-pasting data between Claude and your tools.
Pro move: Connecting the tools via MCP so Claude accesses them directly.
3. Auto Mode: Stop Approving Every Action
Auto mode means Claude executes continuously without asking permission for every file read or edit. It makes reasonable assumptions and keeps moving. For routine work (writing, editing, file organization, running pipelines), this is transformative.
I leave it on by default. The rule is simple: it can do anything that’s reversible and local. It pauses before anything destructive or visible to others.
This one setting probably 3x’d my throughput. You can cycle between permission modes with Shift+Tab: ask mode (approve everything), auto mode (trust the routine stuff), plan mode (review before executing), and others.
Beginner move: Clicking “approve” 47 times while Claude edits files.
Pro move: Auto mode on, intervene only when it matters.
4. Plan Mode: Think Before You Build
Whenever I build something complex, especially when I want to strategize first, I switch to plan mode. Claude designs a full strategy for the project, incl. an implementation plan. I review the plan, adjust it, then let it execute.
The difference between auto mode and plan mode is the difference between “go do this” and “let’s think about how to do this first.” Both are essential. Knowing when to use which is what separates productive sessions from messy ones.
Beginner move: Letting Claude start building immediately, then reworking the architecture later.
Pro move: Plan mode for anything structural, auto mode for execution.
5. Agents: Parallel Workers, Not Sequential Steps
Claude can spawn sub-agents: specialized processes that run in parallel on different tasks. When I’m publishing a blog article and need to fact-check financial calculations, verify source URLs, and review SEO compliance simultaneously, three agents handle it at once.
This is where it gets powerful. Agents aren’t just running one task. They can coordinate. One agent finds a problem, another fixes it, a third verifies the fix. They each have their own context window, their own tool access, and they report back to the main session.
Beginner move: Doing everything sequentially in one conversation.
Pro move: Spawning agents for independent tasks so they run in parallel.
6. Skills: Your Workflows as Reusable Agents
This is the feature that changed everything for me.
Skills are reusable workflows you invoke with a slash command. But calling them “saved prompts” would be like calling a chef’s recipe “a list of ingredients.” Each skill is effectively an autonomous agent: it has a detailed prompt, full tool access, can spawn its own sub-agents, and orchestrates multi-step processes end to end.
I’ve built 30 of them. Here’s what that looks like in practice:
Content pipeline: /write-seo-article runs an 11-step pipeline. Research, outline, write, SEO review, fact-check, source verification. One command produces a publication-ready article. /publish-seo-article takes that article and uploads it to Webflow with auto-extracted FAQs and a header image. /red-team-article launches two parallel agents that independently tear apart every draft for errors.
The key insight: each skill encodes expertise I’d otherwise need to hire for. A compliance lawyer’s checklist, a copywriter’s methodology, a consultant’s framework. Once built, they run on demand, at consistent quality, forever.
Beginner move: Typing detailed instructions every time you need a complex workflow.
Pro move: Building it once as a skill, invoking it with a slash command whenever you need it.
7. Knowledge Base Injection: Claude Knows Your Company
I maintain a folder called beatvest-brain/ with 40+ markdown files covering everything about my company: funding status, partnerships, sales pipeline, product architecture, legal structure, team, market data.
It gets injected into every Claude session. So whether I’m working on a sales deck or a blog article, Claude already knows our latest funding round, our active bank partnerships, and our current priorities.
I described how I set my company brain up here:
How I Built a Company Brain That Makes Every AI Session 10x More Useful
This is my first post here. I’m Julia, co-founder of beatvest, and I’m building my startup with AI as infrastructure, not just a tool. This newsletter is the unfiltered version of what that looks like: what works, what breaks, and what I’d do differently. If you’re a founder using AI for real work, you’re in the right place.
Beginner move: Explaining your company context at the start of every conversation.
Pro move: A knowledge base that auto-loads so Claude is always current.
8. Multi-Project Orchestration: 50 Projects, One System
I work across dozens of interconnected projects: sales decks for specific banks, a 36-article SEO cluster, a fundraising app, a course platform, LinkedIn content, partnership materials. Each has its own CLAUDE.md, its own memory, its own rules.
Claude navigates between them because the infrastructure tells it what each project is and how it connects to the others. I don’t re-explain context when switching projects. The system remembers.
I also enforce a company-wide design system through CLAUDE.md rules. Every HTML output, every proposal, every dashboard, every presentation uses the same CSS, the same typography, the same color palette. This isn’t enforced by discipline. It’s enforced by configuration.
Even my LinkedIn content captures itself. My CLAUDE.md includes instructions for Claude to passively notice LinkedIn-worthy moments during work sessions and save them as “seed” files. The raw material for my content collects itself while I’m doing other things.
Beginner move: Treating each project as an isolated conversation.
Pro move: Building an interconnected system where context, rules, and memory flow across everything.
The Meta-Lesson
None of these features are hard to set up individually. A CLAUDE.md file takes 5 minutes. An MCP server takes 10.
But the compounding effect is what changes things. CLAUDE.md + MCP + Skills creates something that feels less like using a tool and more like having a team member who knows your company, your standards, your workflows, and your preferences, and who gets better every week because the system learns.
The constraint for startups isn’t headcount anymore. It’s how well you can encode your knowledge, standards, and workflows into a system that scales.
I’m Julia, co-founder of beatvest, a fintech building financial education infrastructure for banks. I write about what it actually looks like to run a startup with AI as a core team member. If this was useful, subscribe for more.
Thanks for sharing !