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/linkedin-profile-optimizer

@14d332b

Audit and rewrite a LinkedIn profile end-to-end for 2026: headline, About 7-step, Featured, banner, photo, Experience metrics, Skills, custom URL, recommendations. Triggers on "review my profile", "rewrite my headline", "fix my About", "optimize banner", "profile audit", "LinkedIn bio". Converts resume-style profiles to ones that convert 3-5x better. Not for writing feed content (use linkedin-post-writer).

Use this Skill: https://skilld.dev/gh/sergebulaev/linkedin-skills/linkedin-profile-optimizer

This session only. Nothing lands on disk.

referencesabout-section-templates.md

≈680 tokens on demand. Your agent reads this file only when SKILL.md points to it.

About Section Templates

Display budget

  • Mobile cutoff: first 265-275 chars show before "see more"
  • Full length: 200-300 words (1,000-1,500 characters)
  • Voice: first person ("I help...") never third person ("Jane is a passionate...")

The hook is everything — most readers never click "see more", so the first 265 chars have to carry the whole pitch.

7-Step Structure

Step Purpose Budget
1. Hook Open with a question, claim, or specific number that stops the scroll ~50 chars
2. Your role State what you actually do, who you help ~100 chars
3. Achievements One or two concrete wins with numbers ~150 chars
4. Value proposition What problem you solve and how ~200 chars
5. Personality One line that shows you're human ~100 chars
6. Specialties Keywords for search (no generic buzzwords) ~150 chars
7. Call-to-action What should they do next ~100 chars

Full worked example

Why do most B2B founders burn 40% of their pipeline on bad-fit leads?

I help 1-10M ARR SaaS founders rebuild their inbound motion around signal, not volume.

Last year my team cut acquisition cost 62% for three portfolio companies and grew pipeline 3.4x — the full case studies are in Featured.

What I do: AI-native demand gen. I audit your funnel, rewire the signal layer, and install an always-on content engine that brings the right 50 buyers to you each quarter (instead of 5,000 strangers).

Outside work: two kids, one dog, bad chess player.

Specialties: demand generation, signal-based marketing, AI content operations, LinkedIn strategy, B2B SaaS, RAG systems.

Want the demand-gen audit I run for new clients? Comment "AUDIT" on my latest post or DM me.

Why this works:

  • First 265 chars ("Why do most B2B founders burn 40% of their pipeline on bad-fit leads? I help 1-10M ARR SaaS founders rebuild their inbound motion around signal, not volume.") earns the "see more" click
  • Concrete numbers (40%, 62%, 3.4x, 50, 5,000) — not "significant lift"
  • Specialties line packed with search keywords
  • CTA is specific and low-friction

Anti-patterns

  • "Passionate thought leader" — empty signal
  • "Buzzwords without substance" — "innovative", "synergy", "disruptor"
  • Third-person corporate speak — "Jane is a seasoned professional with over 15 years..."
  • Wall of text with no formatting (mobile kills it)
  • Starting with "Welcome to my LinkedIn!" or "Hello!"
  • Ending with "Let's connect!" (dead CTA)

Benchmarks

  • Optimized About sections: 3.9x more views
  • Keyword density matching target role: 3x more recruiter impressions
  • Hook fitting in 265 chars: 2.4x "see more" click rate

Source: SKILL.md on GitHub

No alertstoday3 checks · Risk SAFE
  • Gen Agent Trust Hubtoday

    The skill is designed to audit and rewrite LinkedIn profiles based on user-provided text and screenshots. The primary security consideration is the ingestion of untrusted profile content, which could potentially contain indirect prompt injections. However, the skill lacks execution capabilities or dangerous tools that would escalate this risk.

  • Sockettoday

    No alerts

  • Snyktoday

    Risk: LOW · No issues

Signed by skilld at 14d332b. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 3 days ago

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