linkedin-profile-optimizer
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).
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/sergebulaev/linkedin-skills --skill linkedin-profile-optimizer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads linkedin-profile-optimizer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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] |
| 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
FAQ
What does the linkedin-profile-optimizer skill 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).
How do I install linkedin-profile-optimizer?
Run npx skills add https://github.com/sergebulaev/linkedin-skills --skill linkedin-profile-optimizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/linkedin-profile-optimizer/ (personal) or .claude/skills/linkedin-profile-optimizer/ (project).
Which AI agents can use linkedin-profile-optimizer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is linkedin-profile-optimizer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains linkedin-profile-optimizer?
It is published by sergebulaev in sergebulaev/linkedin-skills. It has 137 recorded installs.
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