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List key skills

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts
See the prompt↓All LinkedIn tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskAdd these skills to my profile skills list: Python, SQL, Data Visualization, Machine Learning.…+
Add these skills to my profile skills list: Python, SQL, Data Visualization, Machine Learning. Order them so Python and SQL appear first, then Data Visualization, then Machine Learning. Endorsements matter, so set visibility so recruiters see the top four skills on my profile and save the changes.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore I publish my skills list, make it easy for hiring managers to see my operational…+
Before I publish my skills list, make it easy for hiring managers to see my operational strengths. Move the hands-on skills—Python and SQL—to the top, group analytics-related skills together, and hide or de-emphasize generic items like 'Microsoft Office' that dilute the message. Flag any skill that looks junior or unverifiable for removal.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI added Python, SQL, and Machine Learning to my skills list, but during interviews recruiters…+
I added skills but recruiters keep asking about my level of experience.
I added Python, SQL, and Machine Learning to my skills list, but during interviews recruiters ask me whether I’m expert, intermediate, or beginner. I don’t want to overstate and risk being tested, nor understate and miss opportunities. Should I edit my profile to indicate years of experience next to each skill, or wait and clarify during interviews? Which will reduce screening friction?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternEvery few months I keep adding new skills and my top skills rotate so hiring managers can’t…+
skills lists go long and lose focus on who I want to hire me for.
Every few months I keep adding new skills and my top skills rotate so hiring managers can’t tell what I actually do day-to-day. That costs me calls from recruiters outside my target role. What rule or small ritual should I follow so my top four skills consistently reflect the role I want, and I can prune the rest in under ten minutes?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from LinkedIn's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.