Best Skills to Add to Your LinkedIn Profile

The LinkedIn skills section looks deceptively simple: a list of things you know how to do. In practice, it is one of the more consequential parts of your profile because it affects how you appear in recruiter searches. Choosing the right skills, in the right order, does real work even when no one is actively looking at your profile.

How LinkedIn's Skills Section Works

LinkedIn allows you to add up to 50 skills, but only three of them are displayed prominently on your profile card: the ones LinkedIn labels your "top skills." These are the three that appear when someone views your profile without clicking through to the full skills section. Everything below the top three requires an extra click and is seen by far fewer people. The top three also carry slightly more weight in LinkedIn's search ranking, which determines whether you appear when a recruiter runs a Boolean search for someone with your background.

Endorsements, where connections click to validate a skill, add a small layer of social proof. They are not worthless, but a skill with zero endorsements is still searchable and still visible. Do not over-index on accumulating endorsements at the expense of choosing the right skills in the first place.

What Types of Skills to Add

The most effective LinkedIn skill lists are a mix of hard skills and tools that recruiters in your field actually search for. If you work in marketing, terms like "SEO," "Google Analytics," "content strategy," and "paid social" are concrete and searchable. If you work in finance, "financial modelling," "FP and A," "Excel," and "variance analysis" cover the bases. If you work in software development, specific languages, frameworks, and methodologies ("Python," "React," "Agile," "CI/CD") are far more useful than generic labels.

Soft skills like "leadership," "communication," and "problem-solving" are largely invisible in recruiter searches and add little value in the skills section specifically. These qualities matter, but they belong in your About section and in your job descriptions, where they can be demonstrated through examples. In the skills list, they take up slots that could be occupied by searchable technical terms.

How to Choose Your Top Three Skills

Your top three skills should be the ones most closely aligned with the role or roles you are targeting. Think about what a recruiter searching for someone like you would type into LinkedIn's search bar. If you are a data analyst targeting senior individual contributor roles, your top three might be "SQL," "Python," and "data visualisation." If you are a project manager, they might be "stakeholder management," "Agile," and "JIRA." The test is simple: would a recruiter searching for your target role include these terms?

To reorder your skills, go to your profile, scroll to the Skills section, click the pencil icon, and drag skills to the positions you want. LinkedIn does not sort by endorsement count automatically; you control the order. Use it deliberately.

How Many Skills to Add in Total

The maximum is 50, but filling every slot is not the goal. A well-curated list of 20 to 30 skills that accurately reflect your capabilities and target role is more useful than a list of 50 that includes things you touched briefly or that are too vague to be meaningful. Aim for coverage rather than volume: hard skills and tools, industry-specific methodologies, software platforms you use regularly, and a handful of functional areas that describe the type of work you do.

Skills to Avoid

A few types of skills consistently take up space without doing much work. "Microsoft Office" is expected of almost every professional in 2026 and adds nothing unless you are specifically targeting roles where advanced Excel or PowerPoint is a genuine differentiator. In that case, be specific: "Excel" or "financial modelling in Excel" is more useful than "Microsoft Office Suite." Extremely vague soft skills like "teamwork," "time management," and "attention to detail" are almost never searched for by recruiters and take up valuable slots. Generic industry labels like "business development" or "marketing" without more specific supporting terms are too broad to aid search placement meaningfully.

Role-Specific Examples

For tech roles, prioritise specific languages and frameworks over broad categories: "Python" over "programming," "AWS" over "cloud," "TypeScript" over "JavaScript frameworks." For marketing roles, platform-specific skills perform better than generic ones: "Meta Ads," "HubSpot," "Google Search Console," rather than "digital marketing" alone. For finance roles, tool and methodology specificity matters: "DCF modelling," "Bloomberg Terminal," "IFRS," rather than "financial analysis." For operations and project management, certifications and tools help: "PMP," "PRINCE2," "Asana," "OKRs." In every field, the heuristic is the same: if a recruiter could search for this exact term and expect to find someone with your background, it belongs on your list.

Reviewing Your Skills Periodically

Your skills list should evolve as your role and target change. If you have moved into management, skills that reflect your current focus should move to the top, even if technical skills from an earlier phase of your career remain on the list further down. If you are pivoting into a new area, add skills from that domain deliberately and move them toward the top before you start applying, so that your profile reflects the direction you are heading rather than only where you have been.