100 Claude Tips: Stop Using It Like A Search Bar

Most folks open Claude, type a question, get an answer, close the tab. That’s it. No Projects. No Skills. No memory. No MCP connectors. No context carried between sessions. Then they wonder why their results haven’t really changed in two years.

I just came across a brilliant breakdown from this AI professional who actually went deep on the platform with their team. The original poster wasn’t using Claude just for content. They were running workflows, storing context, connecting tools, and shipping more than their headcount suggested they should. And the gap between basic use and proper use? Way bigger than most people expect.

The creator put together 100 of their best Claude tips, and I was blown away when I saw how much I’d been missing. The tips that actually move the needle aren’t about better prompts. They’re about the infrastructure you build around them. Let me walk you through the standout ones from the sample they shared.

The Listicle: 11 Claude Power Moves Worth Knowing

1. Lock in your context with Projects. Store your brand voice, tone guides, and reference files inside Projects so Claude never loses context between sessions. No more pasting the same brand brief into every new chat. Your context just lives there, ready to go.
2. Encode repeatable workflows with Skills. If you do something more than twice, turn it into a Skill. The expert points out that Skills let you run repeatable workflows on demand with no re-explaining and no starting from scratch. This is the difference between asking Claude to do something and having Claude know how you do something.
3. Connect MCP to your real tools. Hook Claude up to Google Drive, Gmail, GitHub, Asana, and dozens of other services through MCP connectors. Now Claude can actually read and act on your real data instead of guessing from what you paste in. This is the single biggest unlock for most knowledge workers.
4. Use Claude Code for serious dev work. The post’s author flags that Claude Code handles multi-file edits, CI pipelines, and complex debugging far better than the chat interface. Sonnet 4.6 is the right default for most coding tasks. If you’re a developer still bouncing code snippets into the web app, you’re working too hard.
5. Slash API costs with Prompt Caching. Prompt Caching cuts repeated input costs by up to 90 percent on the API. If you’re making volume calls and constantly resending the same system prompt or reference docs, this matters more than any prompt tweak you could make. Real money saved.
6. Let Adaptive Reasoning manage your tokens. Adaptive Reasoning in 4.6+ lets Claude adjust its thinking depth per task automatically. The savvy professional behind this guide notes it stops you from burning Opus tokens on simple follow-ups. Smarter, cheaper, no manual model switching.
7. Batch API for non-urgent jobs. Got work that doesn’t need to happen this second? Use the Batch API and you get 50 percent discounted processing with a 12 to 24 hour turnaround. Perfect for bulk content generation, classification runs, or anything you can queue overnight.
8. Mix Standard and Premium Team seats. Your non-technical staff don’t need to pay the same rate as your developers. The original poster recommends mixing seat tiers so you’re not overpaying for casual users while still giving power users full access. Smart team economics.
9. Turn on memory generation in Settings. Flip on “Generate memory from chat history” and Claude builds personalized context across every conversation automatically. You stop being a stranger to Claude every time you open a new chat. It learns who you are and what you’re working on.
10. Reuse documents with the Files API. Upload documents once with the Files API and reuse them across multiple API calls. No re-uploading the same docs on every request, which means faster responses and lower token costs. This is one of those small infrastructure wins that compounds over months.
11. Lean on Extended Thinking for hard problems. Use Extended Thinking when you’re tackling something complex and want to review Claude’s reasoning process before acting on the final answer. It’s like getting the working alongside the result, which makes it much easier to catch flawed logic before it costs you.

Why this list actually matters

The gap between basic use and proper use was bigger than most people expect. It took us months to fully map it.

That quote from the creator stuck with me. Most people treating Claude like a slightly smarter Google are missing the point entirely. The real value isn’t in any single chat. It’s in the system you build around it: stored context, encoded workflows, connected tools, and cost discipline at the API layer.

Who should pay attention to this

If you’re running a team and you’ve rolled out Claude as a productivity tool, this is the playbook. If you’re a solo operator wondering why your AI workflows feel clunky, the answer is probably in points 1, 2, 3, and 9. If you’re building anything on the API, points 5, 7, and 10 will save you serious money.

My take

I think the most underrated tip here is number 2. Skills feel like a small thing until you actually start encoding workflows. Then suddenly you’re not prompting Claude anymore. You’re triggering a teammate who already knows the job. That mental shift changes everything about how you work.

The second most underrated? Memory. Most people don’t even know it’s a toggle. Flip it on today and watch every conversation get sharper over the next two weeks.

Go check out the full LinkedIn post for the rest of the 100 tips. The sample alone is worth your afternoon, and the contributor clearly put the work in to map this properly. Which tip here is actually new to you?