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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.

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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
  1. Distinctive:

    Before releasing an optimized profile, run this diagnostic score:

    line 73
  2. Very specific:

    When optimizing a profile with linkedin-profile-optimizer, follow these 5 phases:

    line 84
  3. Distinctive:

    Verify mobile character cutoff display.

    line 92
  4. Distinctive:

    Write the 5-part conversion narrative.

    line 95

“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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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:

  1. Headline (The Ad): Captures attention in the feed; explains who you help and why they should care.
  2. About Section (The Sales Letter): Hooks the reader, isolates their painful bottleneck, proves your track record, and directs them to an immediate CTA.
  3. Featured Section (The Product Showcase): Three visual anchors displaying social proof, interactive demos, or flagship teardowns.
  4. 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:

  1. 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.
  2. 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.
  3. About Section Construction:
    • Write the 5-part conversion narrative.
    • Cross-check against references/voice-rules.md to ensure zero banned AI buzzwords (delve, tapestry, leverage).
    • Format with clean whitespace and mobile-friendly line breaks.
  4. Featured & Experience Restructuring:
    • Define exact asset specifications for the 3 Featured slots.
    • Refactor past experience entries into concrete achievement metrics.
  5. 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.

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