name: linkedin-personal-branding description: Comprehensive LinkedIn personal branding analysis, profile optimization, and visibility improvement skill using Claude for Chrome browser tools. Use when users request LinkedIn profile analysis, personal branding audit, profile optimization recommendations, LinkedIn visibility improvement, headline optimization, About section review, content strategy guidance, engagement analysis, or Social Selling Index improvement. Works with Claude for Chrome to analyze profile photos, banners, headlines, About sections, experience, skills, recommendations, featured content, activity/posts, and network engagement directly from the user's browser.

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.

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:

What industry does this person work in? (Check job titles, skills, content)
Are they an employee, consultant, freelancer, or entrepreneur?
Who is their target audience on LinkedIn?
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:

Call mcp__chrome-devtools__list_pages → find pageId where URL contains "linkedin.com/in/"
Call mcp__chrome-devtools__select_page with the pageId to focus LinkedIn tab
Call mcp__chrome-devtools__take_snapshot → returns accessibility tree with UIDs (e.g., [uid1], [uid2])
Call mcp__chrome-devtools__take_screenshot → analyze profile photo and banner quality
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:

Profile Optimization
- Photo and banner improvements
- Headline rewriting
- About section restructuring
- Skills reorganization
Content Strategy
- Posting frequency (target: 3x/week minimum)
- Content pillars definition
- Best posting times
- Content formats (carousels, videos, polls)
Engagement Strategy
- Comment engagement tactics
- Network growth approaches
- Recommendation requests
- Group participation
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:

Executive Summary
Mandatory Classification (Industry, Profile Type, Target Audience)
Profile Score Card
Mandatory Calculated Metrics (Engagement Rate, SSI)
Element-by-Element Analysis
Quick Wins (Immediate Actions)
Strategic Recommendations
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 | Building Scalable Systems at Fortune 500s | Python, AWS, Distributed Systems" | | Finance | "Investment Analyst | Helping Family Offices Navigate Alternative Investments | CFA Charterholder" | | Healthcare | "Nurse Practitioner | Improving Patient Outcomes Through Preventive Care | 15+ Years Emergency Medicine" | | Legal | "Corporate Attorney | M&A and Securities for Growth-Stage Companies | Former BigLaw, Now Founder-Friendly" | | HR | "Talent Acquisition Leader | Building World-Class Engineering Teams | Hired 200+ Engineers at Scale-Ups" | | Sales | "Enterprise Account Executive | Helping CFOs Reduce Costs by 30% | $5M+ Annual Quota Achiever" | | Creative | "UX Designer | Making Complex Products Simple | Design Systems, User Research, Accessibility" | | Consulting | "Strategy Consultant | Helping Retailers Increase Revenue 25%+ | Former McKinsey, Now Independent" | | Nonprofit | "Development Director | Raising $10M+ Annually for Education Equity | Grant Writing, Major Gifts" | | Startup | "Founder & CEO @ [Company] | Helping SMBs Automate Operations | Ex-Google, 2x Founder" |

Include:

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

About Section (2,600 characters max)

Structure (Problem-Solution-Proof-CTA):

Hook (first 2-3 lines visible before "see more")
Your story/journey
What you do and who you help
Key achievements with metrics
Skills and expertise
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:

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

Example 2: Headline Optimization

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

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

Example 3: Content Strategy

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

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

Example 4: Quick Profile Check

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

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

Example 5: Deep Analytics Review

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

Call mcp__chrome-devtools__navigate_page (url: "https://www.linkedin.com/analytics/")
Call mcp__chrome-devtools__wait_for (text: "Profile viewers") → verify dashboard loads
Call mcp__chrome-devtools__take_snapshot → capture analytics overview
Navigate to SSI: mcp__chrome-devtools__navigate_page (url: "https://www.linkedin.com/sales/ssi")
Call mcp__chrome-devtools__wait_for (text: "Social Selling Index") → check access
Call mcp__chrome-devtools__take_snapshot → capture SSI scores (or note unavailable)
Navigate back to Activity to analyze recent posts
Calculate engagement rate from visible metrics using formula
Compare against industry benchmarks from references/metrics_benchmarks.md
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

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

Identify primary language (where most connections are)
Analyze both versions for completeness
Check consistency across languages
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)

linkedin-personal-branding

Before / After 效果对比

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