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SKILL verified MIT Self-run

Linkedin Profile Optimizer

skill-sergebulaev-linkedin-skills-linkedin-profile-optimizer · by sergebulaev

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.

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Install

$ agentstack add skill-sergebulaev-linkedin-skills-linkedin-profile-optimizer

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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 pastes their LinkedIn profile URL and asks for an audit
  • 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

  • Profile URL (or screenshots of sections)
  • Goal: clients / job seeking / authority — Featured and CTA vary by goal
  • Optional: draft content to grade against the existing profile

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

  1. Intake. Collect profile state + goal. Flag missing sections.
  2. Score each of 9 sections against the checklist (see references/).
  3. Rewrite headline using [What You Do] | [Who You Help] [Achieve What Result] — fit all 220 chars.
  4. Rebuild About with 7-step structure; verify first 265-275 chars hook before "see more".
  5. 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
  1. Rewrite Experience bullets as action verb + specific metric. Add 5+ skills per role. Pin top 3 skills.
  2. Claim custom URL (linkedin.com/in/firstnamelastname, not the -123abc456 default).
  3. Draft recommendation requests with specifics ("about [project/skill]") — don't send LinkedIn's generic template.
  4. 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 examples
  • references/about-section-templates.md — 7-step structure with character budgets
  • references/featured-section-playbook.md — goal-matched content types
  • references/banner-photo-specs.md — dimensions, composition, mobile test
  • references/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 thesis
  • linkedin-post-writer — Featured section rotates quarterly; pin your flagship post
  • linkedin-humanizer — scrub profile copy for the same AI tells we scrub from posts

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.