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June 18, 2026

Claude tips you must explore now

Claude Features Projects Prompt Caching Batch API Underutilized Tools

Summary

We need to produce a summary 250-500 words, covering core insight, arguments, tools/techniques mentioned, actionable takeaways. No preamble, no labels. Just the summary text. We must ensure length between 250 and 500 words. Let's craft ~350 words. We must not include any extra text like "Summary:" etc. Just the summary. Let's draft. Check word count. Draft: "For two years the author treated Claude like a simple search bar, opening a new chat each time, pasting context, and discarding the conversation. Realizing that this approach wasted the model’s potential, they discovered a set of advanced features that turn Claude into a persistent, customizable assistant. The core insight is that value comes not from better prompting alone but from building infrastructure—projects, skills, connectors, memory, and specialized interfaces—that lets context compound across sessions. The author outlines five concrete steps. First, use Claude Projects to store brand voice, guidelines, and reference documents so every conversation starts with that knowledge automatically, eliminating repetitive pasting. Second, convert repeated workflows into Claude Skills via the Cowork interface; a Skill encodes instructions like tone, length, or formatting so Claude follows them without re‑explaining. Third, connect Claude to external tools through Model Context Protocol (MCP) connectors, enabling it to read Google Drive, Gmail, GitHub, Slack, or browse the web in real time, thereby grounding responses in live data. Fourth, enable the “Generate memory from chat history” setting in Claude’s Settings, allowing the model to gradually learn personal preferences and work patterns, making it feel like a knowledgeable colleague after a few weeks. Fifth, for developers or anyone writing code, switch from the chat UI to Claude Code, a terminal‑based agent that can edit multiple files, run CI pipelines, and debug complex projects, especially when paired with Claude Sonnet 4.6. Actionable takeaways: create a Project for each major workflow (e.g., newsletter, research) and upload relevant assets; identify any task performed more than twice and turn it into a Skill; install MCP connectors for the apps you use most and activate the web‑browser connector; enable memory in Settings to let Claude learn from your history; and download Claude Code for serious development work. By layering these features, users shift from disposable Q&A to a continuously improving AI partner that saves time and improves output quality." Now count words. Let's count manually. "For(1) two2 years3 the4 author5 treated6 Claude7 like8 a9 simple10 search11 bar,12 opening13 a14 new15 chat16 each17 time,18 pasting19 context,20 and21 discarding22 the23 conversation.24 Realizing25 that26 this27 approach28 wasted29 the30 model’s31 potential,32 they33 discovered34 a35 set36 of37 advanced38 features39 that40 turn41 Claude42 into43 a44 persistent,45 customizable46 assistant.47 The48 core49 insight50 is51 that52 value53 comes54 not55 from56 better57 prompting58 alone59 but60 from61 building62 infrastructure—projects,63 skills,64 connectors,65 memory,66 and67 specialized68 interfaces—that69 lets70 context71 compound72 across73 sessions. The74 author75 outlines76 five77 concrete78 steps.79 First,80 use81 Claude82 Projects83 to84 store85 brand86 voice,87 guidelines,88 and89 reference90 documents91 so92 every93 conversation94 starts95 with96 that97 knowledge98 automatically,99 eliminating100 repetitive101 pasting.102 Second,103 convert104 repeated105 workflows106 into107 Claude108 Skills109 via110 the111 Cowork112 interface;113 a114 Skill115 encodes116 instructions117 like118 tone,119 length,120 or121 formatting122 so123 Claude124 follows125 them126 without127 re‑explaining.128 Third,129 connect130 Claude131 to132 external133 tools134 through135 Model136 Context137 Protocol138 (MCP)139 connectors,140 enabling141 it142 to143 read144 Google145 Drive,146 Gmail,147 GitHub,148 Slack,149 or150 browse151 the152 web153 in154 real155 time,156 thereby157 grounding158 responses159 in160 live161 data.162 Fourth,163 enable164 the165 “Generate166 memory167 from168 chat169 history”170 setting171 in172 Claude’s173 Settings,174 allowing175 the176 model177 to178 gradually179 learn180 personal181 preferences182 and183 work184 patterns,185 making186 it187 feel188 like189 a190 knowledgeable191 colleague192 after193 a194 few195 weeks.196 Fifth,197 for198 developers199 or200 anyone201 writing202 code,203 switch204 from205 the206 chat207 UI208 to209 Claude210 Code,211 a212 terminal‑based213 agent214 that215 can216 edit217 multiple218 files,219 run220 CI221 pipelines,222 and223 debug224 complex225 projects,226 especially227 when228 paired229 with230 Claude2

Hey

For about two years, I did the same thing every single day.

Open Claude. Type a question. Read the answer. Close the tab.

That was it. Nothing more. And because the answers were good, I told myself I was using AI well. I was writing faster, researching faster, thinking faster.

But I was wrong. And I did not find out until I came across a single image.

Someone shared a breakdown of 100 Claude tips online. At first I thought it was just another "10 prompts to try" post. I scrolled past it.

Then I came back to it.

And I just sat there staring at it for a full ten minutes.

Because I did not recognize half the things on it. Projects. Skills. MCP Connectors. Batch API. Prompt Caching. Claude Code. The Files API.

Features I had never touched. Features I did not even know existed.

And I run a newsletter about AI.

That was the moment I realized: I was not using Claude. I was using a very small corner of Claude. The part that looks exactly like a search bar. Ask a question, get an answer. Ask another question, get another answer.

Meanwhile, the actual power of the tool was sitting right there, completely untouched.

So I spent the next few days going through everything. Testing it. Documenting it. And today I want to walk you through what I found so you do not spend two years the way I did.

My Problem: Claude Was A Very Expensive Search Engine

Here is what my old Claude workflow looked like.

New chat. Paste context. Ask question. Get answer. Copy answer. Close.

New chat. Paste context again. Ask question. Get answer. Copy answer. Close.

Every single session started from zero. Claude had no memory of who I was, what I was building, or what my newsletter voice sounded like. I was training it from scratch every time and I did not even notice because it kept giving me decent answers anyway.

The problem was not that Claude was failing. The problem was that I had created a ceiling for myself by treating a powerful system like a basic tool.

I was not prompting badly. I was building nothing. And building nothing means every session is disposable.

How I Found The Solution

The image that stopped me was a "100 Claude Tips" breakdown someone put together after going deep on the platform with their team.

The tips that blew my mind were not about writing better prompts.

They were about the infrastructure you build around your prompts. The context you store. The workflows you encode. The tools you connect. The way you stop starting from scratch and start building something that compounds.

And once I saw it that way, I could not unsee it.

Here is how you can start doing the same thing, step by step.

Step 1: Stop Starting From Zero — Use Projects

Every time you open a new chat, Claude knows nothing about you.

Projects fix that.

Inside Claude, you can create a Project and upload your brand voice, tone guidelines, reference documents, and anything else you want Claude to always know. Every conversation inside that project carries that context automatically.

No more pasting the same brief every time. No more explaining who you are, what you do, or how you write.

For me this changed everything. I created a project for CoolDeep AI and uploaded my newsletter voice guidelines, past examples, and audience notes. Now every draft I write inside that project already sounds like me from the first line.

Step 2: Turn Repeated Work Into a Skill

This is the tip that I wish someone had told me on day one.

If you do something more than twice, you should turn it into a Claude Skill.

A Skill is basically a saved workflow. A set of instructions Claude follows every time, exactly the way you want, without you having to explain it again. It is your standard operating procedure, encoded into an agent.

Think about how much time you spend re-explaining things to Claude. "Write it in my voice." "Keep it under 300 words." "Always give me three options." "Use short paragraphs."

A Skill holds all of that so you never have to say it again.

Go to Claude Cowork, click Customize, then Skills, then Add. Choose "Create with Claude," describe your workflow, and Claude builds the skill file for you. It even tests it and shows you where it passes and fails before finalizing.

Step 3: Connect Claude To Your Real Tools (MCP)

This is where things get genuinely powerful.

Without a connector, Claude only knows what you paste into the chat. With a connector, Claude can actually reach into your Google Drive, read your Gmail, access your GitHub, or pull from your Slack.

Real data. Real context. Real action.

To set this up, go to Customize in Claude Cowork, click Connectors, and add the tools you use most. The "Claude in Chrome" connector alone is worth it because it gives Claude the ability to browse the web in real time while working on your tasks.

Research tasks go from "use your training data" to "let me actually go look that up right now."

Step 4: Turn On Memory

This one takes 10 seconds and most people have never done it.

Go to Settings in Claude. Find the option that says "Generate memory from chat history" and turn it on.

Once that is active, Claude starts building a picture of who you are across every conversation. Your preferences. Your work style. Your projects. Your patterns.

The first week will feel the same. The second week, Claude starts feeling like a tool that actually knows you. By the second month, you will not remember what it was like before.

Step 5: Use Claude Code If You Build Anything

If you are a developer, or even someone who tinkers with automations and scripts, stop using the chat interface for code.

Claude Code is a terminal-based tool that can edit multiple files at once, run CI pipelines, handle complex debugging, and work across entire projects. The chat window was never designed for serious dev work.

Download Claude Code from the official Claude website and use it with Claude Sonnet 4.6 for everyday coding tasks. The difference is immediate.

Step 6: Cut Your API Costs Significantly

If you use the Claude API (and if you build anything with AI, you should be), there are two features that can cut your costs dramatically.

The first is Prompt Caching. If you send the same system prompt or reference documents in repeated API calls, Prompt Caching stores that content so you do not pay full price to re-send it every time. Savings go up to 90 percent on repeated inputs.

The second is the Batch API. For work that does not need to happen instantly, submit it as a batch job and get 50 percent discounted processing with a 12 to 24 hour turnaround. Perfect for bulk content tasks, classification runs, or anything you can queue and come back to.

The Listicle: What Changes When You Do All Of This

Here is the honest summary of what shifts when you stop using Claude like a search bar:

1. You stop losing context every single session because Projects hold it for you

2. You stop re-explaining your workflow because Skills encode it once and run it forever

3. You stop working with imaginary data because MCP connectors give Claude access to your real tools

4. You stop being a stranger to Claude because Memory builds your profile automatically

5. You stop wasting money on the API because Prompt Caching and Batch API cut costs before you even think about them

6. You stop treating every prompt as a one-off because you start building systems that compound

7. You stop wondering why your results feel inconsistent because you have built infrastructure instead of just asking questions

Finally…

The 100 Claude tips image that stopped me had one clear message underneath all of it.

Claude is not a chatbot. It is a platform. And most of us are using a fraction of it.

The gap between someone who uses Claude the basic way and someone who has built around it, Projects, Skills, MCP, Memory, API infrastructure, is not a small gap. It is months of compound productivity. It is the difference between a tool you use and a system that works.

You do not need to implement all of this today. Start with one thing.

Turn on Memory right now. That is it. That one switch, ten seconds, will start changing your experience within two weeks without you having to do anything else.

Then come back and add a Project next week. Then build your first Skill the week after.

One layer at a time, you stop using Claude like a search bar and start using it like the platform it actually is.

Stay curious, talk to you tomorrow.

Go [check out the full LinkedIn post](https://www.linkedin.com/feed/update/urn:li:activity:7461747364920332288/) 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?