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_pagewith 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__hoverto 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 In