Skills

Linkedin Profile Optimizer

Audit and rewrite a LinkedIn profile end-to-end for 2026: headline, About 7-step...

Install

npx skills add sergebulaev/linkedin-skills --skill linkedin-profile-optimizer -g -a claude-code -y
Category
Writing
Updated
8d ago
License
MIT
Context cost
Lightabout 1,337 tokens
Runs scripts
No, instructions only

What it does

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).

LinkedIn Profile Optimizer

Audit the nine components of a LinkedIn profile (photo, banner, headline, About, Featured, Experience, Skills, custom URL, recommendations) against 2026 best practices, then rewrite each section that needs it. Optimized profiles get ~3.9x more views and convert visitors 3-5x better than default/resume-style profiles.

When to use

  • User asks for an audit and pastes their profile text (a bare URL is not readable, see Input)
  • User wants to rewrite their headline, About section, or Featured section
  • User is launching a content strategy and needs the profile to match
  • Any of: "review my profile", "fix my headline", "optimize bio", "profile audit", "LinkedIn optimization"

Input

Paste the profile, do not just link it. The read layer covers posts, comments and engagers; there is no profile actor, so a profile URL cannot be fetched, with an APIFY_TOKEN or without one. Open the profile, copy the sections, paste them in. Screenshots of the visual parts work too.

  • Profile text: headline, About, Experience entries, Skills, custom URL
  • The visual three (photo, banner, Featured): screenshots, or a sentence describing each
  • Goal: clients / job seeking / authority, Featured and CTA vary by goal
  • Optional: draft content to grade against the existing profile

If the user supplies only a URL, ask for the text before scoring anything. Never score a section you have not been shown, and never infer profile content from the URL slug.

Output

A structured audit + rewrite in this shape:

  1. Scorecard (9 sections, pass/fail/needs-work)
  2. Priority fixes (ranked by impact)
  3. Before → After rewrites for each failing section
  4. Expected uplift (based on benchmark data)

Steps

Read the whole SKILL.md on GitHub

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