Use when you have a written implementation plan to execute in a separate session with review checkpoints
npx skills add Paramchoudhary/ResumeSkills --skill "LinkedIn Profile Optimizer"
Install specific skill from multi-skill repository
# Description
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
# SKILL.md
name: LinkedIn Profile Optimizer
description: Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
LinkedIn Profile Optimizer
When to Use This Skill
Use this skill when the user wants to:
- Optimize their LinkedIn profile for job searching
- Improve LinkedIn visibility and searchability
- Sync their resume with their LinkedIn profile
- Attract recruiters and job opportunities
- Mentions: "LinkedIn", "LinkedIn profile", "optimize LinkedIn", "LinkedIn headline", "recruiter"
Core Capabilities
- Optimize headline for searchability
- Write compelling About/Summary sections
- Structure Experience section for impact
- Improve profile completeness score
- Add relevant keywords for recruiter searches
- Align LinkedIn with resume while leveraging platform differences
LinkedIn vs. Resume: Key Differences
| Aspect | Resume | |
|---|---|---|
| Length | 1-2 pages | Unlimited |
| Tone | Formal | More conversational |
| Keywords | Job-specific | Industry-wide |
| Audience | One specific employer | All recruiters |
| Updates | Per application | Always current |
| Personality | Minimal | Show more |
Profile Section Optimization
1. Profile Photo
Requirements:
- Professional headshot (not casual photo)
- Face takes up 60% of frame
- Neutral or branded background
- Good lighting, high resolution
- Appropriate attire for your industry
- Friendly expression (slight smile)
Impact: Profiles with photos get 21x more views
2. Background Banner
Best Practices:
- Use a professional design or industry-related image
- Can include personal branding elements
- Size: 1584 x 396 pixels
- Avoid busy patterns that distract from your photo
Options:
- Company brand (if appropriate)
- Industry-related imagery
- Professional abstract design
- Personal brand statement
3. Headline (Most Important for Searchability)
Character Limit: 220 characters
Formula: [Role] | [Key Expertise] | [Value Proposition]
Examples:
❌ Weak Headlines:
- "Looking for opportunities"
- "Unemployed Product Manager"
- "Student at University"
- "Open to work"
✅ Strong Headlines:
Senior Product Manager | B2B SaaS | Driving 0→1 Products from Concept to $10M ARR
Data Scientist | Machine Learning & Analytics | Turning Data into Business Decisions
Software Engineer | Python, AWS, Kubernetes | Building Scalable Systems at Fortune 500
Marketing Director | Growth & Brand Strategy | 3x Revenue Growth at Series B Startups
Keyword Strategy:
Include terms recruiters search for:
- Your job title (and variations)
- Key skills (languages, tools, methodologies)
- Industry terms
- Certifications
4. About Section (Summary)
Character Limit: 2,600 characters
Recommended Length: 1,500-2,000 characters (3-5 paragraphs)
Structure:
[HOOK - Compelling first line that shows up in preview]
[PARAGRAPH 1: Who you are and what you do]
[PARAGRAPH 2: Your key achievements and specialties]
[PARAGRAPH 3: What you're looking for or passionate about]
[SKILLS LIST: Core competencies, searchable keywords]
[CALL TO ACTION: How to reach you]
Example:
I help SaaS companies turn product ideas into revenue.
For the past 8 years, I've been building products that people actually want to use. From a payments platform that processed $50M monthly to a developer tool used by 100K+ engineers, I've led cross-functional teams from idea to launch and beyond.
What I do best:
→ Transform ambiguous customer problems into clear product roadmaps
→ Build and lead high-performing product teams
→ Drive growth through data-informed decision making
→ Bridge technical and business stakeholders
Currently, I'm a Senior Product Manager at [Company], where I lead our API platform serving 500+ enterprise customers. Previously, I led product at [Previous Company] through their Series B and 10x growth.
Key skills: Product Strategy, Roadmap Planning, Agile/Scrum, User Research, A/B Testing, SQL, Data Analysis, Stakeholder Management, B2B SaaS, API Products
Let's connect! I'm always happy to chat about product, SaaS, or career advice for aspiring PMs. Reach me at [email].
First Line is Crucial:
Only ~300 characters show before "see more" - make them count!
5. Experience Section
Key Differences from Resume:
- Can be longer and more detailed
- Should include media (presentations, links)
- Can show personality
- Update regularly (not just when job hunting)
For Each Role Include:
- Clear job title
- Company (with logo linked)
- Date range
- Location
- Description (2-3 sentences about the role)
- 4-6 bullet points with achievements
- Media attachments if available
Example:
Senior Product Manager
TechCorp Inc. · Full-time
Jan 2021 - Present · 3 yrs 1 mo
San Francisco, CA · Hybrid
Leading product strategy for TechCorp's API Platform, serving 500+ enterprise customers and generating $20M ARR.
• Grew platform revenue from $5M to $20M ARR by launching 3 new product lines and expanding into enterprise segment
• Led cross-functional team of 15 (engineering, design, data) to deliver 25+ features with 95% on-time delivery rate
• Improved customer retention from 82% to 94% through proactive feature development based on usage analytics
• Established product analytics framework using Amplitude, increasing feature adoption by 40%
• Collaborated with sales team to close 50+ enterprise deals worth $10M+ by participating in technical sales calls
Skills: Product Management · B2B SaaS · API Design · Agile Methodology · Stakeholder Management
6. Skills Section
Strategy:
- List up to 50 skills (use all 50!)
- Order by relevance and endorsements
- Get endorsements for top skills
- Include both technical and soft skills
Categories to Include:
- Job-specific skills (Product Management, Data Analysis)
- Tools (JIRA, Salesforce, Python)
- Methodologies (Agile, Six Sigma)
- Soft skills (Leadership, Communication)
- Industry terms (B2B, SaaS, Enterprise)
Top 3 Featured Skills:
Choose your three most important, most endorsed skills
7. Featured Section
Use For:
- Portfolio pieces
- Published articles
- Presentations
- Media coverage
- Important posts
- Project highlights
Why It Matters:
Appears prominently on profile - showcase your best work
8. Recommendations
Target: 5-10 quality recommendations
Best Sources:
- Former managers
- Direct reports
- Cross-functional partners
- Clients/customers
How to Get Them:
1. Give recommendations first
2. Ask specific people directly
3. Make it easy - suggest talking points
4. Time it right (after successful project)
Keyword Optimization
Finding Keywords
- Search job descriptions for your target role
- Look at profiles of people in roles you want
- Use LinkedIn's Skills section suggestions
- Check industry publications for terminology
Keyword Placement
Place keywords in:
- Headline (highest weight)
- About section (multiple times naturally)
- Experience descriptions
- Skills section
- Recommendations (ask recommenders to use)
Search Algorithm Tips
- Exact matches matter (use exact phrases)
- Keyword density helps (repeat important terms)
- Recent activity boosts visibility
- Complete profiles rank higher
- Engagement increases reach
Profile Completeness Checklist
All-Star Profile Requirements:
- ✅ Professional photo
- ✅ Custom headline (not just job title)
- ✅ Current position with description
- ✅ Two past positions
- ✅ Education
- ✅ At least 5 skills
- ✅ Industry and postal code
- ✅ 50+ connections
Beyond All-Star:
- ✅ Custom background banner
- ✅ Featured section populated
- ✅ About section (1500+ characters)
- ✅ Rich media in Experience
- ✅ 500+ connections
- ✅ Recommendations (5+)
- ✅ All 50 skills listed
- ✅ Volunteer experience
- ✅ Certifications
Recruiter Visibility Settings
Open to Work Feature
Settings to configure:
- Job titles you're interested in
- Location preferences
- Start date
- Job types (full-time, contract, etc.)
Visibility Options:
- All LinkedIn members (shows green badge)
- Recruiters only (hidden, more discreet)
Profile Visibility
Ensure these are ON:
- Profile viewing options: Show full profile
- Sharing profile edits: Your choice
- Represent in LinkedIn Services: ON (if relevant)
Content Strategy
Why Post Content?
- Increases profile visibility
- Demonstrates expertise
- Builds personal brand
- Attracts opportunities
Content Types:
- Industry insights/opinions
- Professional lessons learned
- Career milestones
- Helpful resources
- Engagement with others' content
Posting Frequency:
- Minimum: 1x per week
- Optimal: 3-5x per week
- Comment/engage: Daily
Output Format
When optimizing a LinkedIn profile:
# LINKEDIN PROFILE OPTIMIZATION
## Current Profile Assessment
**Completeness:** X%
**Searchability Score:** X/10
**Key Issues:** [List]
## Optimized Sections
### Headline
**Current:** [Their current headline]
**Optimized:** [New headline with keywords]
### About Section
[Full optimized About section text]
### Experience Improvements
**[Company Name]**
- Add: [Suggested additions]
- Modify: [Suggested changes]
- Media to add: [Suggestions]
### Skills to Add
[List of skills to add based on target roles]
### Keywords Integrated
[List of keywords added throughout profile]
## Action Items
1. [ ] Update headline
2. [ ] Rewrite About section
3. [ ] Update current role description
4. [ ] Add X skills
5. [ ] Request X recommendations
6. [ ] Add featured content
7. [ ] Upload professional photo
Resume-to-LinkedIn Sync
What to Keep the Same:
- Core achievements and metrics
- Job titles and dates
- Key skills and qualifications
- Overall career narrative
What to Expand:
- More detail in descriptions
- Additional context
- More bullets per role
- Personality and voice
What to Adjust:
- Tone (more conversational)
- Length (can be longer)
- Keywords (broader than job-specific)
- Call to action (add contact info)
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.