linkedin-profile-optimizer
Skill0 starsChanged 30 days agoMITView on GitHub
Transforms LinkedIn personal and executive profiles into high-converting landing pages across Headline, About, Featured, and Experience sections.
20 other projects use a version of this.
Adopted by
Most recently taken up by
- uplika/uplika-plugintheir own version, first seen Nov 8, 2026
- gkmr/career-agent-kittheir own version, first seen Nov 8, 2026
- ZoolCoder/scoutjobstheir own version, first seen Nov 1, 2026
- prosyo-ai/gtm-skilltheir own version, first seen Oct 25, 2026
- CodesbyFebin/linkedin-managertheir own version, first seen Oct 20, 2026
- AIProUK/linkedin-claude-skillstheir own version, first seen Oct 20, 2026
Other versions20 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 20
- sergebulaev/linkedin-skills★ 5.4ksame name
- Paramchoudhary/ResumeSkills★ 2.1ksame name
- BrianRWagner/ai-marketing-skills★ 440same name
- BrianRWagner/ai-marketing-claude-code-skills★ 408same name
- az9713/ai-co-writing-claude-skills★ 61same name
- prosyo-ai/gtm-skill★ 13same name
- tstapler/dotfiles★ 8same name
- TaplioOfficial/taplio-linkedin-claude-skills★ 7same name
- opencue/cuecards★ 6same name
- ZoolCoder/scoutjobs★ 4same name
10 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- linkedin-marketingSkill
- linkedin-comment-drafterSkill
- linkedin-content-plannerSkill
- linkedin-employee-advocacySkill
- linkedin-engager-analyticsSkill
- linkedin-hook-extractorSkill
- linkedin-humanizerSkill
- linkedin-interviewerSkill
- linkedin-post-writerSkill
- linkedin-reply-handlerSkill
- linkedin-repurposerSkill
- linkedin-thread-monitorSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 19 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 73
Before releasing an optimized profile, run this diagnostic score:
- Very specific: line 84
When optimizing a profile with linkedin-profile-optimizer, follow these 5 phases:
- Distinctive: line 92
Verify mobile character cutoff display.
- Distinctive: line 95
Write the 5-part conversion narrative.
“Common” is measured: kept by at least 6 in 10 of the 19 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
LinkedIn Profile Optimizer (linkedin-profile-optimizer)
The linkedin-profile-optimizer skill overhauls your LinkedIn profile from a passive, backward-looking online résumé into an active, high-converting commercial landing page. Operating against 2026 algorithmic and buyer patterns, it systematically aligns your Headline, About, Featured, and Experience sections with a single conversion goal.
When to use this skill
Ideal Use Cases:
- Preparing your personal profile before launching a company, product hunt, or fundraising round.
- Transforming low profile-to-website conversion rates when posting viral content.
- Repositioning from a generalist employee into an authoritative category founder or technical executive.
- Aligning executive team profiles for unified corporate branding and employee advocacy.
- Auditing team profiles prior to major conferences, press releases, or sales campaigns.
Disambiguation ('Not for X, use Y'):
- Not for writing your daily feed posts -> use
linkedin-post-writer. - Not for running a team-wide employee advocacy campaign -> use
linkedin-employee-advocacy. - Not for drafting outbound comments -> use
linkedin-comment-drafter. - Not for analyzing who viewed or liked your posts -> use
linkedin-engager-analytics. - Not for repurposing a podcast into a post -> use
linkedin-repurposer. - Not for conducting founder storytelling interviews -> use
linkedin-interviewer.
The 2026 Profile Conversion Funnel
In 2026, over 70% of inbound buyers and investors inspect a creator's profile after reading a top-performing post. If your profile reads like an HR job description ("Experienced manager skilled in Agile and Python"), visitors bounce.
The optimized profile operates as a 4-stage funnel:
- Headline (The Ad): Captures attention in the feed; explains who you help and why they should care.
- About Section (The Sales Letter): Hooks the reader, isolates their painful bottleneck, proves your track record, and directs them to an immediate CTA.
- Featured Section (The Product Showcase): Three visual anchors displaying social proof, interactive demos, or flagship teardowns.
- Experience Section (The Institutional Credibility): Outcome-oriented metrics showing compounding career results.
Component Blueprint & Formulas
1. The High-Conversion Headline Formula
- Character Budget: 220 characters max (First 60 characters visible on mobile comments).
- The Modern Formula:
[Title / Role] @ [Company] | Helping [ICP] achieve [Specific Metric/Outcome] without [Biggest Frustration] | [Traction / Social Proof Anchor] - Mobile First Rule: Your primary identity and value prop must fit in the first 6-8 words so it reads cleanly when you leave comments.
2. The 5-Part About Section Arc
- Part 1 (The Hook): 2 lines before the "see more" cutoff that challenge an industry assumption.
- Part 2 (The Enemy / Status Quo): Why conventional approaches are costing your ICP time and money.
- Part 3 (The Mechanism): How your company or methodology solves this fundamentally.
- Part 4 (Verifiable Proof): 3-4 bulleted metrics with exact numbers ($ ARR, latency reduction, customer names).
- Part 5 (The Frictionless CTA): Direct next step (e.g., "DM me 'AUDIT' to review your AWS bills" or "Link below to test our open-source sandbox").
3. The 3-Slot Featured Section Architecture
- Slot 1 (The Free Value / Magnet): An un-gated open-source repo, Notion checklist, or interactive playground.
- Slot 2 (The Case Study / Proof): A deep-dive video or post showing how a real customer saved $100k or shipped 4x faster.
- Slot 3 (The Best-Performing Post): Your highest-authority viral post that validates your core thesis.
4. Experience Section: The Result-First Method
- Eliminate duty lists ("Responsible for leading team of 8 engineers...").
- Format as:
[Context & Scope] -> [Decisive Architectural Action] -> [Measurable Business Outcome].
Profile Diagnostic Scorecard (0–100 Points)
Before releasing an optimized profile, run this diagnostic score:
- Headline Mobile Fold (20 pts): Is the primary value proposition intelligible in the first 60 characters?
- About Section Hook (20 pts): Does the opening line create sufficient tension to earn the "...see more" click?
- Proof Density (20 pts): Are there at least 3 verifiable metrics ($ ARR, percentage improvements, user counts)?
- Call-to-Action Clarity (20 pts): Is there a single, clear next step with no competing links?
- Anti-AI Compliance (20 pts): Is the profile 100% free of banned words (delve, tapestry, leverage)?
How It Works Step-by-Step
When optimizing a profile with linkedin-profile-optimizer, follow these 5 phases:
- Conversion Objective Audit:
- Define the primary target action for visitors (e.g. Book an enterprise demo, try open source product, sign up for newsletter, recruit talent).
- Ingest current profile text and analyze strengths and weaknesses.
- Headline Engineering:
- Draft 3 variations of the headline (Option A: Direct ROI, Option B: Contrarian Stance, Option C: Traction/Authority Anchor).
- Verify mobile character cutoff display.
- About Section Construction:
- Write the 5-part conversion narrative.
- Cross-check against
references/voice-rules.mdto ensure zero banned AI buzzwords (delve, tapestry, leverage). - Format with clean whitespace and mobile-friendly line breaks.
- Featured & Experience Restructuring:
- Define exact asset specifications for the 3 Featured slots.
- Refactor past experience entries into concrete achievement metrics.
- Approval Staging & Output:
- Present full profile transformation package formatted in markdown.
- Provide copy-paste blocks ready for immediate LinkedIn profile settings update.
Approval Gate
Profile rewrites require comprehensive user review before implementation:
[PROFILE OPTIMIZATION PACKAGE READY]
Target Profile: Founder & CEO @ InfraScale
Conversion Goal: Drive enterprise VP Engineering inbound demo requests
Deliverables Generated:
1. Headline (3 variations, mobile-tested)
2. About Section (5-part conversion arc, 240 words)
3. Featured Section Layout (3 visual asset blueprints)
4. Experience Section Teardown (Refactored current role + previous exit)
Approval Token: 3a9910cf-22dd-41e9-8800-bbccddee1122
Status: READY FOR USER REVIEW.
Command: Review content and approve to finalize profile package.Examples
Example: Before vs After Transformation for a Technical Founder
Current Unoptimized Profile:
Headline: "Co-Founder and CEO at CloudScale | Passionate about AI, Cloud, and Microservices | Ex-Google" About: "I am an experienced software architect with a demonstrated history of working in the internet industry. Skilled in Python, Docker, Kubernetes, and Machine Learning. Passionate about solving complex problems and leveraging bleeding-edge technology to drive impactful business outcomes."
Optimized 2026 Profile Package:
### 1. Headline (Option A — Recommended)
Founder @ CloudScale | Helping engineering teams cut AWS Kubernetes bills by 50% without downtime | Backed by YC | Ex-Google Cloud Infra
### 2. About Section
Most Series A and B startups are overpaying for cloud infrastructure by at least 40%.
You start with a few microservices. Two years later, you have 18 Kubernetes clusters, a $40,000 monthly cloud invoice, and engineers spending 30% of their sprints debugging unhandled pod evictions.
I founded CloudScale to end the cloud bill insanity.
We built an autonomous infrastructure optimizer that runs directly inside your VPC:
- Continuously identifies unused compute and provisions spot instances safely.
- Eliminates cross-availability-zone network traffic traps.
- Guaranteed zero disruption to live customer traffic.
The numbers so far:
- $4.2M+ in total cloud compute spend eliminated across 85 production environments.
- Average customer payback period: 11 days.
- 99.999% uptime maintained during all autonomous migrations.
If your AWS bill is over $15k/month and keeps climbing, let’s audit your clusters.
👉 Book a 15-minute engineering-to-engineering teardown: [Your Booking Link]
Or send me a DM here with the word "AUDIT".
### 3. Featured Section Assets
- **Slot 1:** [Link/Card] "Free 5-Minute AWS Cost Leak Scanner (Self-hostable CLI)"
- **Slot 2:** [Post Teardown] "How FinFlow cut their AWS invoice from $68,000/mo to $29,000/mo in 72 hours"
- **Slot 3:** [Slide Deck/Video] "Autonomous VPC Optimization: Behind the Architecture"
### 4. Experience Section (Current Role)
**Founder & CEO — CloudScale** *(2024 – Present)*
- Architected and brought to market an automated cloud cost optimization engine managing over $12M in annual compute workloads.
- Scaled company from 0 to $1.8M ARR in 14 months with zero paid ad spend through founder-led technical content.
- Led technical customer integrations for 40+ enterprise accounts, maintaining 100% net revenue retention.
**Senior Staff Infrastructure Engineer — Google Cloud** *(2020 – 2024)*
- Designed cluster orchestration tooling serving over 400,000 internal VM instances with 99.999% reliability.
- Mentored 14 junior and senior engineers across distributed systems fundamentals and kernel tuning.Does it work?
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