LinkedIn Personal Branding Skill

⚠️ CRITICAL: Mandatory Requirements

Every audit MUST include these elements - no exceptions:

Requirement	What	Why
Industry Classification	Identify user's industry/sector	Determines which benchmarks to apply
Profile Type	Employee / Consultant / Freelancer / Entrepreneur / Job Seeker	Affects recommendations (e.g., Services section)
Target Audience	Recruiters / Clients / Peers / Investors / Partners	Shapes content and positioning strategy
Engagement Rate	CALCULATED: (R+C+S)/Impressions×100	Raw numbers alone are meaningless
SSI Score	Actual score OR estimation with note	Key performance indicator

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

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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:

Field	How to Determine	Example Values
Industry/Sector	Job titles, company types, content topics	Tech, Finance, Healthcare, Consulting, etc.
Profile Type	Current role structure	Employee, Consultant/Freelancer, Entrepreneur, Job Seeker
Target Audience	Who they want to reach	Recruiters, Clients, Peers, Investors, Partners
Geographic Focus	Location + language	Local, Regional, Global

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:

Tool	MCP Tool Name	Use For
List Pages	mcp__chrome-devtools__list_pages	Get browser tabs, find LinkedIn tab by URL
Select Page	mcp__chrome-devtools__select_page	Select LinkedIn tab for operations
Snapshot	mcp__chrome-devtools__take_snapshot	Extract accessibility tree with element UIDs
Screenshot	mcp__chrome-devtools__take_screenshot	Capture visual elements (photo, banner)
Navigate	mcp__chrome-devtools__navigate_page	Navigate to URLs or back/forward
Click	mcp__chrome-devtools__click	Click elements using UID from snapshot
Wait For	mcp__chrome-devtools__wait_for	Wait for text to appear (lazy content)
Hover	mcp__chrome-devtools__hover	Scroll element into view

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):

Category	Weight	Key Factors
Visual Identity	15%	Photo quality, banner relevance, visual consistency
Headline	15%	Value proposition, keywords, memorability
About Section	15%	Story structure, keywords, CTA
Experience	20%	Completeness, achievements, metrics
Skills & Endorsements	10%	Relevance, endorsement count
Recommendations	10%	Quality, diversity, recency
Activity & Content	15%	Posting frequency, engagement rate

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:

Metric	Raw Value	Calculated	Benchmark	Status
Engagement Rate	16 interactions / 1,376 impressions	1.16%	3%+	🟡 Below target

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):

Profile Characteristics	Estimated SSI
All-Star profile + active posting + engaged network	70-85
Complete profile + regular posting	55-70
Basic profile + occasional activity	40-55
Incomplete profile + minimal activity	Below 40

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

Feature	Status	Recommendation
Creator Mode	On/Off	Enable if posting 3+/week
Open to Work	On/Off	Enable if job seeking (visible to recruiters only)
Providing Services	On/Off	Enable if freelancer/consultant
Newsletter	On/Off	Consider if 1000+ followers
Custom URL	Set/Default	Always customize
Verification Badge	Yes/No	Add if available

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

2. Content Strategy

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

3. Engagement Strategy

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

4. 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:

Industry	Example Headline
Tech	"Senior Software Engineer
Finance	"Investment Analyst
Healthcare	"Nurse Practitioner
Legal	"Corporate Attorney
HR	"Talent Acquisition Leader
Sales	"Enterprise Account Executive
Creative	"UX Designer
Consulting	"Strategy Consultant
Nonprofit	"Development Director
Startup	"Founder & CEO @ [Company]

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:

Chrome DevTools	Playwright Equivalent
mcp__chrome-devtools__list_pages	mcp__playwright__browser_tabs action: "list"
mcp__chrome-devtools__select_page	mcp__playwright__browser_tabs action: "select"
mcp__chrome-devtools__take_snapshot	mcp__playwright__browser_snapshot
mcp__chrome-devtools__take_screenshot	mcp__playwright__browser_take_screenshot
mcp__chrome-devtools__navigate_page	mcp__playwright__browser_navigate
mcp__chrome-devtools__click	mcp__playwright__browser_click
mcp__chrome-devtools__hover	mcp__playwright__browser_hover
mcp__chrome-devtools__wait_for	mcp__playwright__browser_wait_for

Error Handling Patterns

Error	Detection	Recovery
LinkedIn tab not found	list_pages returns no matching URL	Ask user: "Please open your LinkedIn profile in Chrome"
Element UID not in snapshot	Click/hover fails with invalid UID	Re-take snapshot, search for alternative element
Content not loading	wait_for times out	Scroll manually, increase timeout, try page refresh
Rate limited by LinkedIn	Page shows CAPTCHA or error	Pause 30+ seconds, inform user, proceed slowly
SSI page requires Sales Navigator	linkedin.com/sales/ssi shows paywall	Note as "SSI unavailable" and provide estimation based on profile
Profile is private	Snapshot shows limited content	Document as "Limited visibility - private profile"
Analytics page access denied	Page shows "upgrade" or paywall	Note limited metrics access, use visible profile data only
Post analytics not available	No "View analytics" option on post	User is not post author - can only see public engagement counts
Follower data unavailable	Analytics follower tab empty or restricted	Use visible follower count from profile, note demographics unavailable

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:

Category	Industries Covered
Technology	Software, Web3/Blockchain, Data Science
Business	Finance, Consulting, Sales, Marketing
Professional	Legal, Healthcare, HR, Education
Creative	Design, Creative, Media
Other	Manufacturing, Nonprofit, Real Estate, Startups

Step 3: Adjust Recommendations

Different industries have different norms:

Factor	Conservative Industries	Progressive Industries
Tone	Formal, reserved	Casual, personable
Photo	Traditional headshot	Can be more creative
Content	Thought leadership, insights	Stories, behind-the-scenes
Posting	2-3x/week	4-5x/week
Emojis	Minimal	Acceptable
Examples	Legal, Finance, Healthcare	Tech, Marketing, Startups

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)

Score	Criteria
9-10	Professional headshot, perfect lighting, confident expression, clean background, face fills 60-70% of frame
7-8	Good quality, professional appearance, minor improvements possible
5-6	Acceptable but dated, lighting issues, or unprofessional background
3-4	Low quality, inappropriate setting, or face not clearly visible
1-2	No photo, logo instead of face, or severely inappropriate

Red Flags:

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

Banner Image Scoring (0-10)

Score	Criteria
9-10	Custom branded banner with value proposition, professional design, proper dimensions (1584×396)
7-8	Custom image, relevant to role/industry, minor optimization possible
5-6	Generic image, somewhat relevant but no branding or messaging
3-4	Default LinkedIn background or low-quality image
1-2	Distracting, inappropriate, or broken/stretched image

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)