The Skills Playbook: Grouping & Names
Your skills section helps systems and people find you. It shows what you can do at a glance. Good grouping and using the right names help you pass filters.
Phase 1: The Plan
The "T-Shape" is how top workers show their skills. It shows you are expert at one thing and good at many things.
Your Deep Expertise:
Lead with your identity
Put Important Skills First:
Adapt to the job role
Best Skills First:
Strongest items first
Many Skills
Other things you can do
Expert Skill
Your main skill
Grouping + Details = Trust
People don't want a long list of words. They want to see your skills in groups with details that prove you can do the job.
Phase 2: Grouping Your Skills
Your Deep Expertise:
Group your skills so people can see your main skills and your AI skills right away.
Languages: TypeScript, Python, SQL
Frameworks: React, Node.js, Spring Boot
Tools: AWS, Docker, Git
Your AI Skills
Showing you can use AI tools is now a must. Show you are "Ready for AI."
AI Tools: Name specific tools you use (like ChatGPT, Claude, or GitHub Copilot).
Phase 3: Real Names
Systems look for the exact names of tools. Using short names is the fastest way to get blocked.
JS, GCP, ML, AI
JavaScript (ES6+), Google Cloud Platform
Phase 4: Proof
Bars or "80%" scores don't mean much. Use real context instead.
Use Clear Proof:
Instead of 'Expert', use '4 years' or 'Lead.' This shows exactly how good you are.
React & Next.js: Developed 12+ production apps; performance optimization specialist.
Show, Don’t Just List:
Listing skills helps people find you. The rest of your CV proves you can do the work.
Prompt Engineering: Utilized GenAI to reduce manual coding time by 40% in CI/CD pipelines.
Your Next Steps for a Strong Skills Section
Create 3-5 skill groups.
Group your skills and put the most important ones at the top for the job you want.
Check your names for systems.
Use full, real names that systems can find. Use both a short form and full name if needed.
Remove weak or extra skills.
Only keep skills you are good at and that the job needs. Remove old skills.