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CodesbyFebinCodesbyFebin/linkedin-manager/skills/linkedin-profile-optimizer/SKILL.md

linkedin-profile-optimizer

Skill0 starsChanged 39 days agoMITView on GitHub

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).

20 other projects use a version of this, 2 of them edited.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 17 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If the user supplies only a URL, ask for the text before scoring anything.

    line 26
  2. Distinctive:

    Never "passionate thought leader" / "driven professional" / "results-oriented" (profile-specific AI vocab)

    line 79
  3. Distinctive:

    Avoid wall-of-text. Use line breaks in About section

    line 80

“Common” is measured: kept by at least 6 in 10 of the 17 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

  1. Intake. Collect profile state + goal. If only a URL arrived, ask for the pasted text first. 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
  6. Rewrite Experience bullets as action verb + specific metric. Add 5+ skills per role. Pin top 3 skills.
  7. Claim custom URL (linkedin.com/in/firstnamelastname, not the -123abc456 default).
  8. Draft recommendation requests with specifics ("about [project/skill]") — don't send LinkedIn's generic template.
  9. Deliver before/after diff + expected uplift (3.9x views, 3-5x conversion, 71% more likely to land interviews).

Nine-component scorecard

#SectionPass criteria (2026)
1Photo≥400x400, face fills 60% of frame, <3 years old, natural light, slight smile
2Banner1584x396, text in right 2/3, high contrast, includes value prop + CTA, tests well on mobile
3HeadlineUses all 220 chars; format `[What You Do][Who You Help] [Result]`
4About200-300 words, first-person, 7-step structure, hook in first 265-275 chars
5Featured3 items, matched to goal, custom 1200x627 thumbnails
6ExperienceEvery bullet = action verb + metric, 5+ skills per role, media attached
7Skills50 listed, top 3 pinned, mirrors target job descriptions, ≥1 endorsement each
8Custom URLlinkedin.com/in/firstnamelastname (not the default hash)
9RecommendationsAt 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

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