# 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.

- **Type:** Skill
- **Install:** `agentstack add skill-sergebulaev-linkedin-skills-linkedin-profile-optimizer`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [sergebulaev](https://agentstack.voostack.com/s/sergebulaev)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [sergebulaev](https://github.com/sergebulaev)
- **Source:** https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-profile-optimizer
- **Website:** https://github.com/sergebulaev/linkedin-skills

## Install

```sh
agentstack add skill-sergebulaev-linkedin-skills-linkedin-profile-optimizer
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## 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
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

| # | 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.

- **Author:** [sergebulaev](https://github.com/sergebulaev)
- **Source:** [sergebulaev/linkedin-skills](https://github.com/sergebulaev/linkedin-skills)
- **License:** MIT
- **Homepage:** https://github.com/sergebulaev/linkedin-skills

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-sergebulaev-linkedin-skills-linkedin-profile-optimizer
- Seller: https://agentstack.voostack.com/s/sergebulaev
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
