Every audit MUST include these elements - no exceptions:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlinkedin-personal-brandingExecute the skills CLI command in your project's root directory to begin installation:
Fetches linkedin-personal-branding from schwepps/skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate linkedin-personal-branding. Access via /linkedin-personal-branding in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
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:
Identify what type of LinkedIn work is needed:
A. Full Profile Audit
B. Quick Profile Review
C. Content Strategy Analysis
D. Visibility Optimization
⚠️ 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:
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:
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:
mcp__chrome-devtools__list_pages → find pageId where URL contains "linkedin.com/in/"mcp__chrome-devtools__select_page with the pageId to focus LinkedIn tabmcp__chrome-devtools__take_snapshot → returns accessibility tree with UIDs (e.g., [uid1], [uid2])mcp__chrome-devtools__take_screenshot → analyze profile photo and banner qualitymcp__chrome-devtools__hover to scroll → re-snapshot to get new contentKey sections to analyze:
Profile Foundation
Professional Story
Visibility & Engagement
Network Signals
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:
Track and benchmark these metrics (see references/metrics_benchmarks.md):
Visibility Metrics
Engagement Metrics
⚠️ 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
⚠️ 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 |
Keyword/SEO Analysis
Profile Completeness Check
Multilingual Profile Analysis (if applicable)
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
Provide actionable recommendations using the priority framework:
Priority Matrix:
Recommendation Categories:
Profile Optimization
Content Strategy
Engagement Strategy
Visibility Enhancement
⚠️ 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:
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:
Structure (Problem-Solution-Proof-CTA):
Tips:
For each role include:
Curate 3-6 items:
If user offers services:
Analyze the user's posting history to identify:
Calculate actual engagement rate:
Engagement Rate = (Total Reactions + Comments + Shares) / Impressions × 100
Benchmark: 2-5% is good, 5-8% is excellent, 8%+ is exceptional
references/scoring_framework.mdDetailed 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.mdIndustry 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.mdContent pillars, posting schedules, format recommendations, and engagement tactics.
When to load: When developing content strategy or analyzing posting performance.
assets/profile_audit_template.mdComplete profile audit report template with scoring cards and recommendations.
assets/quick_review_template.mdRapid assessment checklist with priority actions.
assets/action_plan_template.md30-60-90 day improvement roadmap template.
User: "Analyze my LinkedIn profile and give me recommendations" Steps:
mcp__chrome-devtools__list_pages → find paMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
linkedin-personal-branding has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: linkedin-personal-branding is the kind of skill you can hand to a new teammate without a long onboarding doc.
linkedin-personal-branding reduced setup friction for our internal harness; good balance of opinion and flexibility.
linkedin-personal-branding fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
linkedin-personal-branding has been reliable in day-to-day use. Documentation quality is above average for community skills.
I recommend linkedin-personal-branding for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added linkedin-personal-branding from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in linkedin-personal-branding — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: linkedin-personal-branding is focused, and the summary matches what you get after install.
Registry listing for linkedin-personal-branding matched our evaluation — installs cleanly and behaves as described in the markdown.
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