Resume Skills Generator

How the AI Resume Skills Generator Works

Get results in seconds with a simple workflow.

Why Use Our AI Resume Skills Generator?

Powered by the latest AI to deliver fast, accurate results.

Pro Tips for Better Results

Get the most out of the AI Resume Skills Generator with these expert tips.

How to write a resume skills section that actually gets interviews

A “skills” block can feel like filler. But for recruiters (and ATS software), it’s one of the fastest ways to answer: is this person a match for this role?

The trick is simple, but most people skip it. Your skills section should be built from the job description, not from a generic list you reuse everywhere.

That’s exactly what this Resume Skills Generator is for. You paste a job title or, ideally, the full job description, and it gives you a tailored set of hard skills, soft skills, and ATS keywords you can copy into your resume.

If you’re doing multiple applications and want to move faster without making your resume sound robotic, you can pair this with other free tools on WritingTools.ai to speed up the rest of the process too.

Why ATS friendly skills matter (and what “ATS friendly” really means)

ATS friendly doesn’t mean stuffing keywords until it reads like a spreadsheet. It means:

• Using the same terminology employers use (and including common variations when relevant)
• Listing skills that match the role’s requirements, not your entire life story
• Keeping formatting clean so both software and humans can scan it quickly

A strong skills section is basically a quick match signal. It helps your resume get surfaced, and it helps a recruiter decide in seconds whether to keep reading.

Hard skills vs soft skills vs tools (what to include)

Most modern resumes do best when skills are grouped, because it’s easier to skim and it looks more intentional.

Hard skills
Role specific abilities and knowledge areas. Examples: SQL, financial modeling, paid search, data modeling, contract negotiation.

Tools and platforms
Software, systems, and frameworks. Examples: Tableau, Salesforce, HubSpot, Jira, AWS, Excel (Power Query), Figma.

Soft skills
Only include the ones that are clearly relevant and you can prove. Examples: stakeholder management, prioritization, presenting insights, cross functional collaboration.

One quick rule: if you can’t back a skill up somewhere in your experience bullets, it probably shouldn’t be in your skills list.

How many skills should you list on a resume?

There’s no perfect number, but most candidates land well in the 12 to 20 range.

• Entry level: 10 to 16 skills is usually enough, focus on fundamentals and tools you’ve actually used in projects or internships
• Mid level: 14 to 22 skills, more emphasis on job specific tools and higher impact skills
• Senior and leadership: 12 to 18 skills, fewer but sharper, with more strategy, leadership, and domain depth

More is not better. Relevant is better.

Tailoring your skills to a job description (the part most people avoid)

Here’s the quickest way to tailor without overthinking it:

1. Scan the job description for repeated phrases (tools, responsibilities, methodologies)
2. Pull out the top 8 to 12 must haves and make sure they appear in your skills section if you genuinely have them
3. Use the employer’s wording when it’s accurate (example: “KPI reporting” vs “metrics tracking”)
4. Add 4 to 8 supporting skills that commonly pair with the role (example: for Data Analyst, stats + dashboards + stakeholder communication)

This tool basically automates steps 1 and 2, then gives you a clean format you can tweak.

Common resume skills mistakes (easy fixes)

Mistake: listing generic soft skills only
“Communication, teamwork, leadership” by themselves don’t say much.
Fix: keep soft skills, but make them role specific. “Stakeholder management” beats “communication” almost every time.

Mistake: stuffing every tool you’ve ever touched
Fix: only list tools you could comfortably discuss in an interview.

Mistake: using vague labels
“Data analysis” is broad.
Fix: be specific. “SQL (CTEs, window functions), A B testing, dashboarding (Tableau)” reads like someone who can do the work.

Mistake: copying keywords you don’t have
Fix: use the output as suggestions, then keep only what’s true for you.

Example of a better, job matched skills section

Before (generic):
Communication, Teamwork, Microsoft Office, Problem Solving, Leadership

After (tailored to a Data Analyst role):
Hard Skills: SQL, KPI Reporting, Statistics, A B Testing, Data Modeling
Tools: Excel (PivotTables, Power Query), Tableau, Power BI
Soft Skills: Stakeholder Management, Data Storytelling, Cross functional Collaboration

That’s the difference between “I have skills” and “I match this role.”

Quick checklist before you paste skills into your resume

• Are the top skills pulled from the job description?
• Are the first 5 to 8 skills the most important ones for this role?
• Can you prove most of these skills in your experience bullets?
• Is formatting clean and easy to skim (categorized is usually best)?

If you can say yes to those, your skills section is doing its job.

Related Tools You Might Like

Explore more AI writing tools to supercharge your workflow.