👋 Welcome

Most people still use AI like Google.

They open ChatGPT or Claude, type a prompt, get an answer, close the window…and repeat the whole process tomorrow.

Every conversation starts from scratch.

Every prompt has to explain the context again.

Every output is slightly different.

Professional AI users work differently.

Instead of writing better prompts every day, they build reusable systems that remember context, standardize quality, and automate recurring work.

In Claude, this is done with two simple building blocks:

• Project instructions (called CLAUDE.md in the developer tool)

• Skills (which you invoke by typing /)

Together, they transform AI from a chatbot into an AI teammate.

In this edition, you'll discover:

• Where to actually do this, depending on which Claude you use

• Project instructions – teach Claude about your world

• Skills – teach Claude how you work

• The one question that tells you what to build first

• ChatGPT vs Claude

• What to check before you install anything

1. Project Instructions – Teach Claude About Your World

Think of this as your project's instruction manual.

Instead of repeatedly explaining:

• your company

• writing style

• coding standards

• preferred formats

• business terminology

• goals

...you write them once in a Markdown file.

Claude automatically reads this file whenever you work inside that project.

Example

Instead of typing:

"You're helping me write a newsletter for business executives. Keep the tone practical, avoid hype, use tables where useful..."

every single day...

you simply store it once.

Now Claude already knows.

Great for

• company information

• project goals

• team conventions

• writing style

• coding standards

• preferred output format

Think of it as: Long-term memory for one project.

One warning: keep it short. Overloaded instruction files get ignored. If it grows past a page, you're writing a manual, not instructions.

2. Slash Commands – One Click for Repetitive Tasks

Some tasks happen dozens of times every week.

For example:

• summarize meeting notes

• review a pull request

• explain an error

• write release notes

• generate LinkedIn posts

• create test cases

Instead of pasting the same prompt repeatedly, create a slash command.

Examples:

/plan
/summarize
/review-pr
/linkedin
/release-notes
/weekly-report

Each command contains the instructions once.

Now you simply type:

/weekly-report

and Claude performs the task consistently.

Think of commands as

Keyboard shortcuts for AI.

3. Skills – Teach Claude How to Perform Entire Jobs

Skills go much further.

Instead of a single prompt...

you teach Claude an entire workflow.

For example:

/competitor-analysis

The Skill might automatically:

1. identify competitors

2. compare positioning

3. analyze pricing

4. summarize strengths

5. identify weaknesses

6. generate recommendations

7. produce an executive report

One command.

Complete workflow.

Business examples

• Market research

• Sales outreach

• Product launch planning

• Financial analysis

• Risk assessment

• Customer interview analysis

• Content calendar generation

Skills are reusable and can even include supporting files, templates, and examples.

How They Work Together

People describe slash commands and Skills as two separate systems. They used to be. They merged in April 2026

Project instructions

Claude already understands:

• your company

• your products

• executive audience

• preferred writing style

↓

/board-summary

Creates the executive summary in your standard format.

↓

/market-analysis

Researches competitors, structures the findings, generates recommendations.

The result?

Less prompting.

Higher consistency.

Better outputs.

Where Business Professionals Can Use This Today

You don't need to be a developer.

Here are a few examples any knowledge worker can create.

Where do you actually do this?

This is the part most articles skip, and it's why half of readers give up in the first five minutes.

The features have different names depending on which Claude you're using.

Same concepts. Different doors.

You do not need to be a developer for any of this.

One thing worth knowing early: a skill saved only on your laptop won't run in the cloud. Scheduled tasks and Cowork sessions load the skills enabled on your account. This is the single most common reason someone's first automation quietly fails.

ChatGPT vs Claude

Many readers ask whether ChatGPT has the same capabilities.

The answer is yes. And the interesting part is how similar they've become.

ChatGPT now has real /plan and /goal commands, saved prompts that appear as /your-command, and it adopted the same open Skills standard Anthropic published. Around forty products now support that format.

Which means something genuinely useful: a Skill you write is increasingly portable. Write it once, and multiple tools can follow it.

Both companies landed on the same three ideas within months of each other:

• Plan before acting

• A goal that persists across the conversation

• Skills as plain markdown files

That convergence is the real story. This isn't one vendor's feature. It's where the whole category is going.

One thing to check: ChatGPT's agent mode was removed. It's been replaced by ChatGPT Work for multi-step tasks and finished deliverables. If you had something scheduled on agent mode, it may have quietly stopped running.

Before You Install Anything

You can download Skills other people wrote. Some are excellent.

But this is an early ecosystem, and it shows.

A February 2026 security audit of nearly 4,000 published Skills found 37% had at least one security issue, and 13% had critical problems including malware and hidden instructions. A separate audit flagged 341 Skills as outright malicious.

The good news is that the fix is easy, because a Skill is just a text file.

Read it before you install it.

It takes ninety seconds and anyone on your team can do it. If it's asking for things a one-page brief shouldn't need, don't install it.

This is the same rule you'd apply to any software your team brings in. It just feels less obvious because it's a markdown file.

Start Small

Don't build twenty Skills tomorrow.

Start with one of each.

✅ Write project instructions for your main project.

✅ Turn one thing you correct every week into a Skill.

✅ Connect one real data source — your drive, your inbox, your CRM.

That third one matters more than people expect. For most teams the bottleneck isn't how smart the model is. It's that it can't see any of their actual work.

You'll quickly notice something interesting:

The biggest productivity gain doesn't come from using AI more.

It comes from never having to explain yourself twice.

💡 CMasterAI Takeaway

Most AI users are still writing better prompts.

Power users are building better systems.

The future isn't about asking AI smarter questions—it's about teaching AI how you work, so every conversation starts with context, consistency, and expertise already built in.

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