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LinkedIn Profile Optimizer
by
Sergey Bulaev
· GitHub ↗
· v1.0.0
· MIT-0
83
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Install in OpenClaw
/install linkedin-profile-optimizer
Description
Audit and rewrite a LinkedIn profile end-to-end for 2026 — headline formula, About section 7-step structure, Featured section strategy, banner design, photo...
README (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 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:
- 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. 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, \x3C3 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
- No em dashes in any profile copy (AI tell, penalized by 2026 detection tools)
- First person ("I help...") never third person ("Jane is a passionate...")
- Never "passionate thought leader" / "driven professional" / "results-oriented"
- Capitalize all names, companies, products
- 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
Usage Guidance
This skill appears coherent and safe in terms of required permissions: it only needs the user's public profile URL or screenshots to audit and rewrite LinkedIn content. Before installing or using it: (1) do not supply LinkedIn login credentials — any profile edits should be made by you manually unless you explicitly grant OAuth access (the skill does not request this); (2) redact or avoid sharing screenshots that contain sensitive or proprietary data (dashboards, client names) unless you're comfortable sharing them; (3) verify any outbound CTA links you add to Featured (Calendly, booking links) are trusted and intended — the skill only drafts content, but double-check before posting; (4) treat the uplift/benchmark numbers as marketing claims, not guaranteed results; and (5) if you need the agent to perform actions on your LinkedIn account (post, edit, claim URL), prefer doing those actions yourself or only grant official LinkedIn OAuth access via a trusted integration. Overall there are no red flags about hidden installs, secret exfiltration, or unrelated credential requests.
Capability Analysis
Type: OpenClaw Skill
Name: linkedin-profile-optimizer
Version: 1.0.0
The 'linkedin-profile-optimizer' bundle consists entirely of instructional Markdown and metadata designed to guide an AI agent in auditing and rewriting LinkedIn profiles. It contains no executable code, no network requests, and no instructions to access sensitive system data or exfiltrate information. The content is focused on marketing strategies, SEO optimization, and improving profile conversion metrics, with no evidence of malicious intent or security risk.
Capability Assessment
Purpose & Capability
Name/description (LinkedIn profile audit & rewrite) match the included reference templates and the SKILL.md; no unrelated environment variables, binaries, or installs are requested.
Instruction Scope
SKILL.md limits runtime behavior to collecting profile state (URL or screenshots), scoring nine profile components, and producing rewrites and templates. It does not instruct the agent to read unrelated files, access secrets, or call unexpected external endpoints. It does recommend user-driven actions (e.g., claim custom URL via LinkedIn UI).
Install Mechanism
No install spec or code is present (instruction-only skill), so nothing is written to disk or downloaded at install time.
Credentials
The skill requires no environment variables, credentials, or config paths. The guidance asks the user to provide a public profile URL or screenshots — which is proportional to the stated purpose.
Persistence & Privilege
Skill is not always-enabled and does not request persistent system privileges or modify other skills. Autonomous invocation is allowed by platform default but not combined with any broad access here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkedin-profile-optimizer - After installation, invoke the skill by name or use
/linkedin-profile-optimizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is LinkedIn Profile Optimizer?
Audit and rewrite a LinkedIn profile end-to-end for 2026 — headline formula, About section 7-step structure, Featured section strategy, banner design, photo... It is an AI Agent Skill for Claude Code / OpenClaw, with 83 downloads so far.
How do I install LinkedIn Profile Optimizer?
Run "/install linkedin-profile-optimizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is LinkedIn Profile Optimizer free?
Yes, LinkedIn Profile Optimizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does LinkedIn Profile Optimizer support?
LinkedIn Profile Optimizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created LinkedIn Profile Optimizer?
It is built and maintained by Sergey Bulaev (@sergebulaev); the current version is v1.0.0.
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