how to choose linkedin skills that actually matter
In a world where recruiters skim profiles in seconds, the right LinkedIn skills can be the difference between a conversation starter and a missed opportunity. This guide walks you through a dataâdriven, recruiterâapproved process to choose LinkedIn skills that actually matter. Youâll get a stepâbyâstep checklist, realâworld examples, and a toolbox of free Resumly resources that automate the heavy lifting.
Why Choosing LinkedIn Skills That Actually Matter Is Crucial
- Firstâline filter for ATS â Most applicant tracking systems (ATS) crawl LinkedIn profiles for keyword matches before a human even sees the resume.âŻIf your skill list doesnât align with the job description, the algorithm may discard you.
- Recruiter relevance â Recruiters use LinkedInâs skillâbased search to build candidate pipelines. A wellâchosen skill set puts you in the topâ10 results for relevant openings.
- Personal branding â Your skill list is a quick snapshot of your professional identity. It tells a story about where you excel and where you want to grow.
Stat: According to LinkedInâs 2023 Talent Trends report, 71% of recruiters say âskill relevanceâ is the most important factor when shortâlisting candidates.
The Two Audiences: Humans vs. Machines
Audience | What They Look For | How to Appeal |
---|---|---|
Recruiter | Clear, industryâstandard terms (e.g., Project Management, Data Analysis) | Use recognizable titles and avoid jargon. |
ATS | Exact keyword matches from the job posting | Mirror the language from the posting, include both broad and niche terms. |
Understanding this dual audience helps you craft a skill list that satisfies both.
StepâbyâStep Process to Pick the Right Skills
1. Gather Job Descriptions
- Action: Save 3â5 recent job ads for the role you want.
- Tool: Use Resumlyâs Job Search Keywords tool to extract the most common skill terms.
2. Run a Skills Gap Analysis
- Action: Upload your current LinkedIn profile to the Skills Gap Analyzer.
- Outcome: The tool highlights missing highâimpact skills and suggests alternatives.
3. Prioritize Core vs. Complementary Skills
- Core skills are nonânegotiable for the target role (e.g., Python for a data scientist).
- Complementary skills add depth and differentiate you (e.g., Data Visualization, Statistical Modeling).
4. Validate with Industry Benchmarks
- Search LinkedIn for 5â10 professionals with similar titles.
- Note the topâranked skills on their profiles. If a skill appears on 80% of them, itâs likely essential.
5. Optimize for ATS Syntax
- Use the exact phrasing from the job posting (e.g., âAgile Scrumâ vs. âScrum Agileâ).
- Avoid abbreviations unless they are universally recognized (e.g., SQL is fine, Structured Query Language is optional).
6. Add a Proof Point
- For each skill, consider a brief achievement bullet in the Featured section or a post that demonstrates competence. Example: âData Analysis â Reduced reporting time by 30% using Python and Tableau.â
7. Review and Refine Quarterly
- The tech landscape evolves fast. Set a calendar reminder every 3 months to repeat steps 1â6.
Checklist: Doâs and Donâts for LinkedIn Skills
Do
- â Mirror the exact terminology from target job ads.
- â Include a mix of hard and soft skills (e.g., Leadership, Communication).
- â Keep the list to 10â15 highâimpact skills; quality beats quantity.
- â Use Resumlyâs Buzzword Detector to avoid overused clichĂ©s.
Donât
- â Stuff unrelated buzzwords just because they sound impressive.
- â List every skill you ever learned; irrelevant items dilute relevance.
- â Use outdated terms (e.g., Webmaster instead of Web Developer).
- â Forget to update after completing a certification or new project.
RealâWorld Examples
Example 1: Marketing Manager Transitioning to Digital Marketing
Original Skill List | Optimized Skill List (Focused on Digital) |
---|---|
Marketing Strategy, Content Creation, SEO, Social Media, Email Campaigns, Brand Management, Event Planning | SEO, Content Marketing, Social Media Advertising, Google Analytics, Marketing Automation, DataâDriven Decision Making, A/B Testing |
Why it works: The optimized list aligns with the digitalâfirst job ads and includes measurable tools (Google Analytics) that ATS can parse.
Example 2: Software Engineer Moving into AI/ML
Before | After |
---|---|
Java, C++, SQL, Git, Agile, Problem Solving | Python, Machine Learning, TensorFlow, Data Engineering, SQL, Git, Agile Scrum, Statistical Modeling |
Why it works: The new list adds the highâimpact AI keywords recruiters search for while retaining core engineering fundamentals.
Leveraging Resumly Free Tools to Supercharge Your Skill Selection
- AI Resume Builder â Generates a resume that mirrors your LinkedIn skills, ensuring consistency across platforms.
- LinkedIn Profile Generator â Autoâfills your profile with optimized skill sections based on the job market.
- Career Personality Test â Helps you discover softâskill strengths to add to your LinkedIn list.
- Buzzword Detector â Flags overused phrases that may hurt ATS readability.
Integrating these tools saves hours and guarantees that the skills you showcase are both relevant and searchâengine friendly.
MiniâCase Study: From Stagnant Profile to Interview Calls
Background: Sarah, a midâlevel project manager, had 150 connections but zero recruiter messages for six months.
Action Plan:
- Collected 4 senior project manager job ads.
- Ran the Skills Gap Analyzer â identified missing âAgile Scrumâ and âRisk Managementâ.
- Updated her LinkedIn skills to include: Agile Scrum, Risk Management, Stakeholder Engagement, Budget Forecasting.
- Added a featured post showcasing a recent project where she cut costs by 15% using Agile methods.
Result: Within three weeks, Sarah received 7 interview invitations and landed a promotion.
Frequently Asked Questions (FAQs)
1. How many skills should I list on LinkedIn?
Aim for 10â15 highâimpact skills. This range satisfies ATS algorithms while keeping the profile readable for humans.
2. Should I remove older skills that I no longer use?
Yes. Outdated skills can confuse recruiters and dilute relevance. Keep only those you can substantiate with recent experience.
3. How often should I refresh my skill list?
Quarterly reviews are ideal. The job market shifts quickly, especially in tech and digital fields.
4. Do soft skills matter for ATS?
Some modern ATS can parse softâskill keywords, especially when they appear alongside hard skills (e.g., Leadership + Team Management). Include them strategically.
5. Can I use synonyms to capture more searches?
Use the exact term from the job posting as the primary skill, then add a synonym in the description or a separate endorsement.
6. How do endorsements affect skill relevance?
Endorsements act as social proof. Encourage colleagues to endorse the top 5 skills you want to highlight.
7. Is it okay to list certifications as skills?
Absolutely. Treat certifications like AWS Certified Solutions Architect as a skill; they are searchable and add credibility.
8. What if Iâm changing careers entirely?
Conduct a fresh skills audit using the Job Search Keywords tool and focus on transferable skills that appear in both your old and new industry.
Conclusion: Mastering How to Choose LinkedIn Skills That Actually Matter
By following the systematic approach outlined aboveâcollecting job data, running a skills gap analysis, prioritizing core competencies, and continuously refiningâyouâll ensure that every skill on your LinkedIn profile adds value for both recruiters and ATS. Pair this strategy with Resumlyâs free AIâpowered tools, and youâll transform a static profile into a dynamic career engine.
Ready to put the plan into action? Start with the AI Resume Builder to align your resume with your newly optimized LinkedIn skills, then use the LinkedIn Profile Generator to instantly update your profile. Your next opportunity is just a few clicks away.
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