a skill by sergebulaev, brought here by kt
linkedin profile optimizer
paste this link into your ai. it will know what to do.
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:
- Scorecard (9 sections, pass/fail/needs-work)
- Priority fixes (ranked by impact)
- Before → After rewrites for each failing section
- Expected uplift (based on benchmark data)
Steps
- Intake. Collect profile state + goal. If only a URL arrived, ask for the pasted text first. Flag missing sections.
- Score each of 9 sections against the checklist (see references/).
- Rewrite headline using
[What You Do] | [Who You Help] [Achieve What Result]— fit all 220 chars. - Rebuild About with 7-step structure; verify first 265-275 chars hook before "see more".
- Curate Featured (3 strong items) matched to the goal: - Clients: lead magnet + case study with results + calendar link - Job seeking: portfolio + best work samples + top-performing post - Authority: best content + media/podcast features + newsletter signup
- Rewrite Experience bullets as
action verb + specific metric. Add 5+ skills per role. Pin top 3 skills. - Claim custom URL (linkedin.com/in/firstnamelastname, not the
-123abc456default). - Draft recommendation requests with specifics ("about [project/skill]") — don't send LinkedIn's generic template.
- Deliver before/after diff + expected uplift (3.9x views, 3-5x conversion, 71% more likely to land interviews).
Nine-component scorecard
| # | Section | Pass criteria (2026) | |
|---|---|---|---|
| 1 | Photo | ≥400x400, face fills 60% of frame, <3 years old, natural light, slight smile | |
| 2 | Banner | 1584x396, text in right 2/3, high contrast, includes value prop + CTA, tests well on mobile | |
| 3 | Headline | Uses all 220 chars; format `[What You Do] | [Who You Help] [Result]` |
| 4 | About | 200-300 words, first-person, 7-step structure, hook in first 265-275 chars | |
| 5 | Featured | 3 items, matched to goal, custom 1200x627 thumbnails | |
| 6 | Experience | Every bullet = action verb + metric, 5+ skills per role, media attached | |
| 7 | Skills | 50 listed, top 3 pinned, mirrors target job descriptions, ≥1 endorsement each | |
| 8 | Custom URL | linkedin.com/in/firstnamelastname (not the default hash) | |
| 9 | Recommendations | At least 3 recent, specific (not generic), from diverse contexts |
Key benchmarks (from co.actor research)
- Optimized About sections: 3.9x more views
- 5+ listed skills: 3x more connection requests
- Comprehensive profile: 71% more likely to land interviews
- Featured section content: 30% longer viewing time
- Personal founder profile vs company page: 315% more engagement, 270% more conversions
Hard rules
Global voice rules: see root SKILL.md §Voice rules. Additional skill-specific rules:
- First person ("I help...") never third person ("Jane is a passionate...")
- Never "passionate thought leader" / "driven professional" / "results-oriented" (profile-specific AI vocab)
- Avoid wall-of-text. Use line breaks in About section
- 80% of users leave Featured empty. Filling it is a free edge
Reference files
references/profile-headline-formulas.md— 220-char formula + before/after examplesreferences/about-section-templates.md— 7-step structure with character budgetsreferences/featured-section-playbook.md— goal-matched content typesreferences/banner-photo-specs.md— dimensions, composition, mobile testreferences/experience-skills-rules.md— bullet rewriting + skills strategy + custom URL + recommendations
Related skills
linkedin-content-planner— post pillars should echo the profile's headline/About thesislinkedin-post-writer— Featured section rotates quarterly; pin your flagship postlinkedin-humanizer— scrub profile copy for the same AI tells we scrub from posts
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