LinkedIn Personal Branding Skill

⚠️ CRITICAL: Mandatory Requirements

Every audit MUST include these elements - no exceptions:

These fields appear in the report header and metrics section. Do not skip them.

Overview

This skill enables comprehensive LinkedIn profile analysis, personal branding assessment, and actionable optimization recommendations using Claude for Chrome browser automation. It helps professionals improve their visibility, engagement, and professional positioning on LinkedIn.

Works for ANY industry: Tech, Finance, Healthcare, Legal, Marketing, HR, Consulting, Creative, Nonprofit, and more. See references/metrics_benchmarks.md for industry-specific benchmarks.

Requirements:

• Claude for Chrome extension installed and connected
• User has LinkedIn profile open in their browser
• User is logged into LinkedIn (for access to private metrics like profile views)

Core Workflow

Step 1: Determine Analysis Type

Identify what type of LinkedIn work is needed:

A. Full Profile Audit

• Comprehensive analysis of all profile elements
• Output: Complete audit report with scores and recommendations

B. Quick Profile Review

• Fast assessment of key profile elements
• Output: Priority action items and quick wins

C. Content Strategy Analysis

• Focus on posts, engagement, and content performance
• Output: Content recommendations and posting strategy

D. Visibility Optimization

• Focus on discoverability and search appearances
• Output: Keyword and SEO optimization recommendations

Step 1b: MANDATORY - Profile Classification

⚠️ REQUIRED: Before any analysis, you MUST identify and document:

Classification Questions to Answer:

1. What industry does this person work in? (Check job titles, skills, content)
2. Are they an employee, consultant, freelancer, or entrepreneur?
3. Who is their target audience on LinkedIn?
4. What is their primary language/market?

This information MUST appear in the audit report header:

**Industry/Sector:** [IDENTIFIED INDUSTRY]
**Profile Type:** [Employee / Consultant / Freelancer / Entrepreneur / Job Seeker]
**Target Audience:** [Recruiters / Clients / Peers / Investors / Partners]

Why This Matters:

• Benchmarks vary significantly by industry (see metrics_benchmarks.md)
• Recommendations differ for employees vs. consultants
• Content strategy depends on target audience

Step 2: Gather Profile Information

Use Claude for Chrome browser tools to access the LinkedIn profile. The user should have LinkedIn open in their browser.

Chrome DevTools MCP Tools for LinkedIn Analysis:

Workflow:

1. Call mcp__chrome-devtools__list_pages → find pageId where URL contains "linkedin.com/in/"
2. Call mcp__chrome-devtools__select_page with the pageId to focus LinkedIn tab
3. Call mcp__chrome-devtools__take_snapshot → returns accessibility tree with UIDs (e.g., [uid1], [uid2])
4. Call mcp__chrome-devtools__take_screenshot → analyze profile photo and banner quality
5. For lazy-loaded sections: mcp__chrome-devtools__hover to scroll → re-snapshot to get new content

Key sections to analyze:

Profile Foundation

• Profile photo (quality, professionalism, approachability)
• Banner/background image (branded, relevant, memorable)
• Headline (value proposition, keywords, impact)
• About section (storytelling, keywords, call-to-action)
• Custom URL (clean, professional)

Professional Story

• Experience section (completeness, achievements, metrics)
• Education (relevance, completeness)
• Skills (relevance, endorsements count, top 3 pinned)
• Certifications (industry relevance, credibility)
• Recommendations (quantity, quality, recency)

Visibility & Engagement

• Featured section (portfolio, links, media)
• Activity/posts (frequency, engagement rates)
• Followers count
• Connections (500+ indicator)
• Publications and articles

Network Signals

• Groups membership
• Newsletter subscriptions
• Interests followed

Step 3: Score Profile Elements

Use the scoring framework from references/scoring_framework.md to evaluate each element.

Scoring Categories (1-10 scale):

Overall Score Interpretation:

• 90-100: Elite (Top 1% of LinkedIn profiles)
• 80-89: Excellent (Strong personal brand)
• 70-79: Good (Solid foundation, room for improvement)
• 60-69: Average (Missing key optimizations)
• Below 60: Needs Work (Significant improvements required)

Step 4: Analyze Key Metrics

Track and benchmark these metrics (see references/metrics_benchmarks.md):

Visibility Metrics

• Profile views (weekly/monthly trend)
• Search appearances
• Post impressions

Engagement Metrics

• Engagement rate (target: 2-8% for B2B)
• Comments per post
• Share rate

⚠️ MANDATORY: Calculate Actual Engagement Rate

You MUST calculate and report the engagement rate, not just show raw numbers:

Engagement Rate = (Reactions + Comments + Shares) / Impressions × 100

Example Calculation:

Post data: 1,376 impressions, 15 reactions, 1 comment, 0 shares
Engagement Rate = (15 + 1 + 0) / 1,376 × 100 = 1.16%

Interpretation: 🟡 Average (1-2%) - needs improvement
Target: 3%+ for good engagement

Always include in the report:

Growth Metrics

• Follower growth rate (target: 10%+ monthly)
• Connection acceptance rate (target: 40%+)

⚠️ MANDATORY: Social Selling Index (SSI)

The SSI score is critical for measuring LinkedIn effectiveness. You MUST either:

Option A - User provides SSI: Ask user to visit linkedin.com/sales/ssi and share their score, then document:

| SSI Component | Score | Target |
|---------------|-------|--------|
| Establish professional brand | X/25 | 20+ |
| Find the right people | X/25 | 15+ |
| Engage with insights | X/25 | 18+ |
| Build relationships | X/25 | 18+ |
| **TOTAL SSI** | **X/100** | **70+** |

Option B - SSI not available: If user cannot access SSI, document in report:

**SSI Score:** Not available (user should visit linkedin.com/sales/ssi to check)
**Estimated SSI Range:** [X-Y] based on profile completeness and activity

SSI Estimation Guide (when actual score unavailable):

Step 4b: Advanced Analysis Areas

Keyword/SEO Analysis

• Identify target keywords for user's industry/role
• Check keyword presence in: Headline, About, Experience, Skills
• Assess search visibility for target terms
• Recommend keyword additions for discoverability

Profile Completeness Check

• [ ] Profile photo uploaded
• [ ] Custom banner image
• [ ] Headline customized (not just job title)
• [ ] About section filled (500+ characters)
• [ ] Current position with description
• [ ] 2+ past positions
• [ ] Education listed
• [ ] 5+ skills added
• [ ] Location set
• [ ] Industry selected

→ All checked = LinkedIn "All-Star" profile status

Multilingual Profile Analysis (if applicable)

• Primary language alignment with target audience
• Secondary language profile completeness
• Consistency across language versions
• Keyword optimization in both languages
• Recommendation: Keep both versions equally updated

LinkedIn Features Assessment

Network Quality Assessment

• Connection diversity (industries, roles, seniority)
• Percentage of 1st-degree connections in target audience
• Key influencers/decision-makers in network
• Group membership relevance

Step 5: Generate Recommendations

Provide actionable recommendations using the priority framework:

Priority Matrix:

• Quick Wins (High impact, Low effort): Do immediately
• Strategic Initiatives (High impact, High effort): Plan carefully
• Nice-to-haves (Low impact, Low effort): Do when possible
• Avoid (Low impact, High effort): Not worth resources

Recommendation Categories:

1. Profile Optimization

• Photo and banner improvements
• Headline rewriting
• About section restructuring
• Skills reorganization

1. Content Strategy

• Posting frequency (target: 3x/week minimum)
• Content pillars definition
• Best posting times
• Content formats (carousels, videos, polls)

1. Engagement Strategy

• Comment engagement tactics
• Network growth approaches
• Recommendation requests
• Group participation

1. Visibility Enhancement

• Keyword optimization
• Featured section curation
• Publication strategy
• Creator mode activation

Step 6: Create Actionable Report

⚠️ MANDATORY: Pre-Report Validation Checklist

Before generating any audit report, verify ALL mandatory fields are completed:

□ Industry/Sector identified and documented
□ Profile Type classified (Employee/Consultant/Freelancer/Entrepreneur/Job Seeker)
□ Target Audience identified (Recruiters/Clients/Peers/Investors/Partners)
□ Engagement Rate CALCULATED (not just raw numbers)
□ SSI Score captured OR noted as unavailable with estimation
□ Industry-specific benchmarks applied (from metrics_benchmarks.md)

If any field is missing, go back and complete it before proceeding.

Generate output using templates from assets/:

Report Sections:

1. Executive Summary
2. Mandatory Classification (Industry, Profile Type, Target Audience)
3. Profile Score Card
4. Mandatory Calculated Metrics (Engagement Rate, SSI)
5. Element-by-Element Analysis
6. Quick Wins (Immediate Actions)
7. Strategic Recommendations
8. 30-60-90 Day Action Plan

Profile Element Best Practices

Profile Photo

• High-quality headshot (400x400px minimum)
• Professional attire appropriate to industry
• Friendly, approachable expression
• Clean, neutral background
• Face occupies 60-70% of frame
• Good lighting (natural preferred)

Banner Image (1584x396px)

• Branded or industry-relevant imagery
• Include value proposition or tagline
• Showcase expertise or work
• Use brand colors if applicable
• Avoid clutter and small text

Headline (220 characters max)

Formula: Who you are + What problems you solve + Benefits you provide

Bad: "Marketing Manager" Good: "Marketing Manager | Helping B2B Companies Grow Through Data-Driven Strategies | 45% Revenue Increase Specialist"

Industry-Specific Examples:

Include:

• Primary role/expertise
• Target audience
• Key differentiator or result
• Relevant keywords

About Section (2,600 characters max)

Structure (Problem-Solution-Proof-CTA):

1. Hook (first 2-3 lines visible before "see more")
2. Your story/journey
3. What you do and who you help
4. Key achievements with metrics
5. Skills and expertise
6. Call-to-action

Tips:

• Write in first person
• Use short paragraphs
• Include relevant keywords
• Add emojis sparingly for visual breaks
• End with clear CTA

Experience Section

For each role include:

• Quantified achievements (%, $, #)
• Scope of responsibility
• Key projects and outcomes
• Skills demonstrated
• Media attachments if relevant

Skills Section

• List 50+ relevant skills
• Pin top 3 most important skills
• Request endorsements from colleagues
• Align with target job keywords

Featured Section

Curate 3-6 items:

• Portfolio pieces
• Case studies
• Articles/publications
• Media appearances
• Key achievements
• Lead magnets or "work with me" links

Services Section (for Consultants/Freelancers)

If user offers services:

• List 3-5 core service offerings
• Use keyword-rich service names
• Ensure services align with headline positioning
• Link to service page if available

Content Performance Patterns

Analyze the user's posting history to identify:

• Best-performing content types (text, carousel, video, poll)
• Optimal posting times based on their engagement data
• Topic resonance - which subjects get most engagement
• Hook effectiveness - first-line patterns that work
• CTA performance - which calls-to-action drive action

Calculate actual engagement rate:

Engagement Rate = (Total Reactions + Comments + Shares) / Impressions × 100

Benchmark: 2-5% is good, 5-8% is excellent, 8%+ is exceptional

Reference Files

references/scoring_framework.md

Detailed scoring criteria for each profile element with examples and benchmarks.

When to load: For any profile audit or analysis requiring detailed scoring.

references/metrics_benchmarks.md

Industry benchmarks for LinkedIn metrics including SSI scores, engagement rates, and growth targets.

When to load: When analyzing metrics or setting targets for improvement.

references/content_strategy.md

Content pillars, posting schedules, format recommendations, and engagement tactics.

When to load: When developing content strategy or analyzing posting performance.

Asset Templates

assets/profile_audit_template.md

Complete profile audit report template with scoring cards and recommendations.

assets/quick_review_template.md

Rapid assessment checklist with priority actions.

assets/action_plan_template.md

30-60-90 day improvement roadmap template.

Usage Examples

Example 1: Full Profile Audit

User: "Analyze my LinkedIn profile and give me recommendations" Steps:

1. User has their LinkedIn profile open in Chrome
2. Call mcp__chrome-devtools__list_pages → find pageId for LinkedIn tab
3. Call mcp__chrome-devtools__select_page with pageId
4. Call mcp__chrome-devtools__take_snapshot → extract profile structure with UIDs
5. Call mcp__chrome-devtools__take_screenshot → analyze photo and banner visually
6. Load references/scoring_framework.md for scoring criteria
7. Score each profile element (Visual, Headline, About, Experience, Skills, etc.)
8. Load references/metrics_benchmarks.md for industry comparison
9. Use assets/profile_audit_template.md for report format
10. Provide prioritized recommendations with quick wins first

Example 2: Headline Optimization

User: "Help me improve my LinkedIn headline" Steps:

1. Call mcp__chrome-devtools__take_snapshot → find headline in accessibility tree
2. Extract current headline text from snapshot
3. Identify target audience and value proposition from profile context
4. Apply headline formula from SKILL.md (Who + Problems Solved + Benefits)
5. Provide 3-5 optimized alternatives with keywords
6. Include industry-specific examples

Example 3: Content Strategy

User: "Help me create a LinkedIn content strategy" Steps:

1. Call mcp__chrome-devtools__navigate_page (url: linkedin.com/in/[user]/recent-activity/)
2. Call mcp__chrome-devtools__wait_for (text: "reactions") → wait for posts to load
3. Call mcp__chrome-devtools__take_snapshot → extract recent posts data
4. Analyze posting patterns and engagement metrics
5. Load references/content_strategy.md for strategy framework
6. Define content pillars based on expertise
7. Create posting schedule with optimal times
8. Set engagement targets based on industry benchmarks

Example 4: Quick Profile Check

User: "Take a quick look at my LinkedIn profile" Steps:

1. Call mcp__chrome-devtools__list_pages → find LinkedIn tab
2. Call mcp__chrome-devtools__select_page → focus the tab
3. Call mcp__chrome-devtools__take_snapshot → quick structure scan
4. Check key elements (photo, headline, about, experience) in snapshot
5. Use assets/quick_review_template.md for rapid assessment
6. Provide top 5 quick wins with specific actions

Example 5: Deep Analytics Review

User: "Analyze my LinkedIn analytics and engagement metrics" Steps:

1. Call mcp__chrome-devtools__navigate_page (url: "https://www.linkedin.com/analytics/")
2. Call mcp__chrome-devtools__wait_for (text: "Profile viewers") → verify dashboard loads
3. Call mcp__chrome-devtools__take_snapshot → capture analytics overview
4. Navigate to SSI: mcp__chrome-devtools__navigate_page (url: "https://www.linkedin.com/sales/ssi")
5. Call mcp__chrome-devtools__wait_for (text: "Social Selling Index") → check access
6. Call mcp__chrome-devtools__take_snapshot → capture SSI scores (or note unavailable)
7. Navigate back to Activity to analyze recent posts
8. Calculate engagement rate from visible metrics using formula
9. Compare against industry benchmarks from references/metrics_benchmarks.md
10. Provide improvement recommendations with specific targets

Chrome DevTools MCP Workflows

Step-by-Step: Extracting Profile Data

Step 1: Get browser tabs
→ mcp__chrome-devtools__list_pages
→ Response includes array of pages with: pageId, url, title
→ Find page where url contains "linkedin.com/in/"

Step 2: Select LinkedIn tab
→ mcp__chrome-devtools__select_page (pageId: [found_id])
→ Page is now the active context for subsequent operations

Step 3: Take accessibility snapshot
→ mcp__chrome-devtools__take_snapshot
→ Returns text representation of page with element UIDs like [uid1], [uid2]
→ UIDs are used for click, hover, and other interactions

Step 4: Take screenshot for visual analysis
→ mcp__chrome-devtools__take_screenshot
→ Returns image of current viewport
→ Analyze profile photo quality, banner design, visual branding

Step 5: Extract specific text (optional)
→ mcp__chrome-devtools__evaluate_script
→ function: "() => document.body.innerText"
→ Returns all visible text on page

Step-by-Step: Navigating Profile Sections

LinkedIn lazy-loads content. To access sections below the fold:

Step 1: Take initial snapshot
→ mcp__chrome-devtools__take_snapshot
→ Identify UID for section you need (e.g., "Skills" heading)

Step 2: Scroll to section
→ mcp__chrome-devtools__hover (uid: "[skills_uid]")
→ OR mcp__chrome-devtools__click (uid: "[show_more_uid]")
→ Element scrolls into view

Step 3: Wait for content to load
→ mcp__chrome-devtools__wait_for (text: "Show all", timeout: 5000)
→ LinkedIn AJAX content finishes loading

Step 4: Re-snapshot for new content
→ mcp__chrome-devtools__take_snapshot
→ Now includes previously hidden elements

Step-by-Step: Analyzing Activity/Posts

Step 1: Navigate to Activity section
→ From profile, find "Activity" or "Posts" link UID in snapshot
→ mcp__chrome-devtools__click (uid: "[activity_uid]")
→ OR mcp__chrome-devtools__navigate_page (url: "linkedin.com/in/[username]/recent-activity/")

Step 2: Wait for posts to load
→ mcp__chrome-devtools__wait_for (text: "reactions", timeout: 5000)

Step 3: Snapshot activity page
→ mcp__chrome-devtools__take_snapshot
→ Extract post content, reaction counts, comment counts

Step 4: Calculate engagement metrics
→ For each visible post: (reactions + comments + reposts) / impressions × 100
→ Note: Impressions may not be visible to non-authors

Step-by-Step: Accessing LinkedIn Analytics Dashboard

LinkedIn Analytics provides key metrics only visible to the profile owner.

Step 1: Navigate to Analytics
→ mcp__chrome-devtools__navigate_page (url: "https://www.linkedin.com/analytics/")

Step 2: Wait for dashboard to load
→ mcp__chrome-devtools__wait_for (text: "Profile viewers", timeout: 10000)
→ If timeout: User may not have analytics access - ask them to navigate manually

Step 3: Capture analytics snapshot
→ mcp__chrome-devtools__take_snapshot
→ Extract: Profile views (7d, 90d), Post impressions, Search appearances, Follower count

Step 4: Navigate to detailed views (optional)
→ Click "Profile viewers" UID for viewer demographics
→ Click "Post impressions" UID for content performance breakdown
→ Click "Search appearances" UID for keyword visibility

Step-by-Step: Capturing SSI Score

The Social Selling Index is a key LinkedIn metric (mandatory in audits).

Step 1: Navigate to SSI page
→ mcp__chrome-devtools__navigate_page (url: "https://www.linkedin.com/sales/ssi")

Step 2: Check for access
→ mcp__chrome-devtools__wait_for (text: "Social Selling Index", timeout: 5000)
→ If timeout: SSI may require Sales Navigator - document as unavailable

Step 3: Capture SSI data
→ mcp__chrome-devtools__take_snapshot
→ Extract: Overall score (/100), 4 component scores (/25 each)
→ Components: Professional Brand, Find Right People, Engage Insights, Build Relationships

Step 4: Capture rankings (if visible)
→ Industry rank, Network rank (percentile position)

Step-by-Step: Individual Post Analytics

For detailed engagement data on specific posts (author-only view).

Step 1: From Activity page, find target post
→ mcp__chrome-devtools__take_snapshot
→ Locate post by content or date in the snapshot

Step 2: Click to view post details
→ mcp__chrome-devtools__click (uid: "[post_uid]")
→ OR click "View analytics" link UID if visible

Step 3: Wait for analytics overlay
→ mcp__chrome-devtools__wait_for (text: "impressions", timeout: 5000)

Step 4: Capture post-level metrics
→ mcp__chrome-devtools__take_snapshot
→ Extract: Impressions, Unique views, Reactions (by type), Comments, Reposts
→ Extract: Top companies, Top job titles (viewer demographics)

Step-by-Step: Follower Analytics

For audience understanding and growth tracking.

Step 1: Navigate to Follower Analytics
→ mcp__chrome-devtools__navigate_page (url: "https://www.linkedin.com/analytics/profile-viewers/followers/")
→ OR from Analytics dashboard, click "Followers" tab UID

Step 2: Wait for data to load
→ mcp__chrome-devtools__wait_for (text: "followers", timeout: 5000)

Step 3: Capture follower data
→ mcp__chrome-devtools__take_snapshot
→ Extract: Total followers, Growth (7d, 30d), Top companies, Top job titles, Top locations

Step 4: Scroll for historical data (if needed)
→ mcp__chrome-devtools__hover (uid: "[chart_uid]") to scroll down
→ Re-snapshot to capture growth chart data

Playwright MCP Fallback

If Chrome DevTools MCP is unavailable, use Playwright MCP:

Error Handling Patterns

Tips for Effective Analysis

1. Use Chrome DevTools MCP: Ensure the user has LinkedIn open in Chrome before starting analysis
2. List Pages First: Always call mcp__chrome-devtools__list_pages to verify LinkedIn tab exists
3. Snapshot Before Actions: Always take_snapshot before clicking or hovering - you need UIDs
4. Visual + Text Analysis: Combine take_screenshot for visual analysis with take_snapshot for text
5. Handle Lazy Loading: LinkedIn loads content on scroll - use hover to scroll, then re-snapshot
6. Consider Industry Context: Benchmarks vary by industry and role - always classify first
7. Focus on Quick Wins: Prioritize high-impact, low-effort improvements first
8. Be Specific: Provide concrete examples and rewrites, not just general advice
9. Set Measurable Goals: Include specific targets for metrics improvement
10. Handle Private Metrics: Some metrics (profile views, SSI) are only visible to profile owner
11. Respect Rate Limits: Avoid rapid navigation that might trigger LinkedIn's bot detection
12. Use Playwright Fallback: If Chrome DevTools MCP fails, fall back to mcp__playwright__* tools

Industry-Specific Guidance

This skill works for ANY professional profile. Always identify the user's industry context first to apply relevant benchmarks.

Step 1: Identify Industry Context

Ask or infer from the profile:

• What industry/sector?
• B2B, B2C, or internal-facing?
• Employee, consultant/freelancer, or entrepreneur?
• Target audience (recruiters, clients, peers, investors)?

Step 2: Apply Relevant Benchmarks

The references/metrics_benchmarks.md file contains benchmarks for 15+ industries:

Step 3: Adjust Recommendations

Different industries have different norms:

Industry Detection Cues

Look for these signals in the profile:

• Job titles and company types
• Skills listed
• Content topics
• Industry groups
• Certifications
• Education background

Competitor Analysis Workflow

When conducting competitive analysis for positioning:

Step 1: Identify Aspirational Profiles

Ask user to provide 3-5 LinkedIn profiles of:

• Direct competitors
• Industry leaders they admire
• People in similar roles with strong presence

Step 2: Analyze Each Profile

For each competitor, capture:

• Headline structure and keywords
• About section hook and CTA
• Content frequency and formats
• Engagement levels (reactions, comments)
• Follower count and growth

Step 3: Gap Analysis

Create comparison table showing:

• Where user is stronger
• Where competitors excel
• Specific elements to replicate/adapt

Step 4: Differentiation Strategy

Recommend how user can:

• Match competitor strengths
• Differentiate with unique positioning
• Capitalize on untapped opportunities

Visual Analysis Criteria

When analyzing profile photos and banners:

Profile Photo Scoring (0-10)

Red Flags:

• Cropped from group photos
• Sunglasses or obscured face
• Outdated (>5 years old)
• Poor lighting/resolution
• Distracting background

Banner Image Scoring (0-10)

Effective Banner Elements:

• Clear value proposition text
• Brand colors if applicable
• Relevant imagery (industry, role, achievements)
• Contact info or CTA (optional)
• Professional design quality

Handling Multilingual Profiles

When user has profiles in multiple languages:

Analysis Approach

1. Identify primary language (where most connections are)
2. Analyze both versions for completeness
3. Check consistency across languages
4. Ensure keywords optimized for each language market

Recommendations Format

Provide recommendations for:

• Primary language profile: Full optimization
• Secondary language profile: Key gaps to address
• Content strategy: Which language to post in (consider audience split)

Common Multilingual Issues

• Secondary profile is outdated
• Keywords not localized
• About section only translated, not adapted
• Different positioning across languages (confusing)