Optimize LinkedIn profiles for recruiter visibility, searchability, and job opportunity attraction.
Works with
Provides section-by-section optimization guidance covering headline, About section, Experience, Skills, and Featured content with specific formulas and examples
Includes keyword strategy for recruiter searches, profile completeness checklist, and recruiter visibility settings configuration
Explains key differences between LinkedIn and resume formats, with structured approach to syncing
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionlinkedin-profile-optimizerExecute the skills CLI command in your project's root directory to begin installation:
Fetches linkedin-profile-optimizer from paramchoudhary/resumeskills 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-profile-optimizer. Access via /linkedin-profile-optimizer 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
4
total installs
4
this week
234
GitHub stars
0
upvotes
Run in your terminal
4
installs
4
this week
234
stars
Use this skill when the user wants to:
| Aspect | Resume | |
|---|---|---|
| Length | 1-2 pages | Unlimited |
| Tone | Formal | More conversational |
| Keywords | Job-specific | Industry-wide |
| Audience | One specific employer | All recruiters |
| Updates | Per application | Always current |
| Personality | Minimal | Show more |
Requirements:
Impact: Profiles with photos get 21x more views
Best Practices:
Options:
Character Limit: 220 characters
Formula: [Role] | [Key Expertise] | [Value Proposition]
Examples:
❌ Weak Headlines:
✅ Strong Headlines:
Senior Product Manager | B2B SaaS | Driving 0→1 Products from Concept to $10M ARR
Data Scientist | Machine Learning & Analytics | Turning Data into Business Decisions
Software Engineer | Python, AWS, Kubernetes | Building Scalable Systems at Fortune 500
Marketing Director | Growth & Brand Strategy | 3x Revenue Growth at Series B Startups
Keyword Strategy: Include terms recruiters search for:
Character Limit: 2,600 characters Recommended Length: 1,500-2,000 characters (3-5 paragraphs)
Structure:
[HOOK - Compelling first line that shows up in preview]
[PARAGRAPH 1: Who you are and what you do]
[PARAGRAPH 2: Your key achievements and specialties]
[PARAGRAPH 3: What you're looking for or passionate about]
[SKILLS LIST: Core competencies, searchable keywords]
[CALL TO ACTION: How to reach you]
Example:
I help SaaS companies turn product ideas into revenue.
For the past 8 years, I've been building products that people actually want to use. From a payments platform that processed $50M monthly to a developer tool used by 100K+ engineers, I've led cross-functional teams from idea to launch and beyond.
What I do best:
→ Transform ambiguous customer problems into clear product roadmaps
→ Build and lead high-performing product teams
→ Drive growth through data-informed decision making
→ Bridge technical and business stakeholders
Currently, I'm a Senior Product Manager at [Company], where I lead our API platform serving 500+ enterprise customers. Previously, I led product at [Previous Company] through their Series B and 10x growth.
Key skills: Product Strategy, Roadmap Planning, Agile/Scrum, User Research, A/B Testing, SQL, Data Analysis, Stakeholder Management, B2B SaaS, API Products
Let's connect! I'm always happy to chat about product, SaaS, or career advice for aspiring PMs. Reach me at [email].
First Line is Crucial: Only ~300 characters show before "see more" - make them count!
Key Differences from Resume:
For Each Role Include:
Example:
Senior Product Manager
TechCorp Inc. · Full-time
Jan 2021 - Present · 3 yrs 1 mo
San Francisco, CA · Hybrid
Leading product strategy for TechCorp's API Platform, serving 500+ enterprise customers and generating $20M ARR.
• Grew platform revenue from $5M to $20M ARR by launching 3 new product lines and expanding into enterprise segment
• Led cross-functional team of 15 (engineering, design, data) to deliver 25+ features with 95% on-time delivery rate
• Improved customer retention from 82% to 94% through proactive feature development based on usage analytics
• Established product analytics framework using Amplitude, increasing feature adoption by 40%
• Collaborated with sales team to close 50+ enterprise deals worth $10M+ by participating in technical sales calls
Skills: Product Management · B2B SaaS · API Design · Agile Methodology · Stakeholder Management
Strategy:
Categories to Include:
Top 3 Featured Skills: Choose your three most important, most endorsed skills
Use For:
Why It Matters: Appears prominently on profile - showcase your best work
Target: 5-10 quality recommendations
Best Sources:
How to Get Them:
Place keywords in:
All-Star Profile Requirements:
Beyond All-Star:
Settings to configure:
Visibility Options:
Ensure these are ON:
When optimizing a LinkedIn profile:
# LINKEDIN PROFILE OPTIMIZATION
## Current Profile Assessment
**Completeness:** X%
**Searchability Score:** X/10
**Key Issues:** [List]
## Optimized Sections
### Headline
**Current:** [Their current headline]
**Optimized:** [New headline with keywords]
### About Section
[Full optimized About section text]
### Experience Improvements
**[Company Name]**
- Add: [Suggested additions]
- Modify: [Suggested changes]
- Media to add: [Suggestions]
### Skills to Add
[List of skills to add based on target roles]
### Keywords Integrated
[List of keywords added throughout profile]
## Action Items
1. [ ] Update headline
2. [ ] Rewrite About section
3. [ ] Update current role description
4. [ ] Add X skills
5. [ ] Request X recommendations
6. [ ] Add featured content
7. [ ] Upload professional photo
Make 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
We added linkedin-profile-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added linkedin-profile-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in linkedin-profile-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
linkedin-profile-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
linkedin-profile-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend linkedin-profile-optimizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
linkedin-profile-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for linkedin-profile-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for linkedin-profile-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.
linkedin-profile-optimizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
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