How to set up Claude so it never forgets you:
Prompts → Projects → Skills (explained in 3 mins)
Prompts = telling a stranger your job every morning.
Projects = giving a new hire a binder on day one.
Skills = training an employee once. For forever.
Step 1: Start with a Prompt (but don't stay there)
✦ Open Claude. Type your task. Get an answer.
✦ It works. But tomorrow? Claude forgot everything.
✦ You re-explain. Again. Every. Single. Chat.
✦ That's Level 1. Most people never leave it.
Step 2: Move to a Project
✦ Go to Claude .ai → Create a Project.
✦ Upload your voice file. Upload your instructions.
✦ Now every chat inside that Project knows you.
✦ Your context, style, and tone stick.
But you still have to open the right Project.
You still have to say "read my file first."
Step 3: Graduate to Skills
✦ Open Claude Cowork.
✦ Select Opus 4.7 + Extended Thinking.
✦ Prompt: "Use the skill-creator to help me build a skill for [your most repeated task]."
Claude interviews you. Answer extensively.
"I write reports" is useless.
"I write weekly reports that start with the headline metric, 3 sections max, next steps as bullets" is a Skill.
The specificity is the skill.
Step 4: Install and test
✦ Save the Skill folder.
✦ Go to Settings → Capabilities → Skills → Upload.
✦ Open a new chat. Type your task normally.
✦ The Skill fires on its own. No slash command.
✦ Claude just knows.
I just wrote my full Claude Skills breakdown. It covers setup, the skill-creator walkthrough, and the 7 hacks I found buried in Anthropic's docs.
Read it here: https://lnkd.in/dq6xHS4p
To download all of my Claude infographics:
Step 1. Go to how-to-ai.guide.
Step 2. Subscribe for free. Don't pay anything.
Step 3. Open my welcome email (most skip this).
Step 4. Hit the automatic reply button inside.
Step 5. Download my infographics from my Notion.
♻️ Repost this to help someone on your team stop re-explaining themselves to Claude every morning.
One of the most interesting contributions is a new metric called “observed exposure.”
Instead of estimating theoretical automation risk, the researchers combine:
👉 AI capability
👉 real usage data
👉 automated vs. assistive use cases
👉 work-related applications
to measure where AI is actually being used in professional tasks today.
For the global economy, this suggests AI’s impact may unfold less through sudden job losses and more through gradual changes in productivity, hiring patterns, and skill demand.
For policymakers and economic development leaders, the key question may not be whether AI will affect jobs, but how governments, businesses, and local economies adjust their strategies as more people start using it.