Install the "linkedin-profile-optimizer" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/career/linkedin-profile-optimizer into .claude/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", then confirm the skill loads.
Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
skills CLI
$ npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a codex
Project install goes to .agents/skills/; add -g for ~/.codex/skills/.
Install the "linkedin-profile-optimizer" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/career/linkedin-profile-optimizer into .agents/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", then confirm the skill loads.
Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a cursor
Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.
Install the "linkedin-profile-optimizer" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/career/linkedin-profile-optimizer into .cursor/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", then confirm the skill loads.
Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
skills CLI
$ npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a gemini-cli
Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.
Install the "linkedin-profile-optimizer" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/career/linkedin-profile-optimizer into .gemini/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", then confirm the skill loads.
Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
skills CLI
$ npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a github-copilot
Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.
Install the "linkedin-profile-optimizer" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/career/linkedin-profile-optimizer into .github/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", then confirm the skill loads.
GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
skills CLI
$ npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a opencode
OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
Install the "linkedin-profile-optimizer" agent skill from https://github.com/davila7/claude-code-templates/tree/main/cli-tool/components/skills/career/linkedin-profile-optimizer into .opencode/skills/linkedin-profile-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-optimizer", then confirm the skill loads.
OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
Skill name
linkedin-profile-optimizer
GitHub stars
32k
Used in
2 other repos
Token cost
~2.6k tokens
SKILL.md length
792 words
Files
1
Skills in repo
478
Repo updated
First seen
Licence
MIT
At a glance
Optimize a LinkedIn profile for searchability, recruiter visibility, and engagement.
Works in 8 steps: Profile Photo → Background Banner → Headline (Most Important for… → …
The user mentions LinkedIn profile
SKILL.md covers When to Use This Skill, Core Capabilities, LinkedIn vs. Resume: Key… and Profile Section Optimization, plus 6 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Linkedin Profile Optimizer is an agent skill from davila7/claude-code-templates. Optimize a LinkedIn profile for searchability, recruiter visibility, and engagement. Use when the user mentions LinkedIn profile, headline, About section, recruiter visibility, or social hiring.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Resume and CV writing and Recruiting and HR. It works with LinkedIn. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.
When your agent uses it
The user mentions LinkedIn profile
Recruiter visibility
Example prompts
“/linkedin-profile-optimizer”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 46b4d8b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Linkedin Profile Optimizer loads about 2.6k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 792 words of instructions outside code blocks.
Always· name and description, kept in context so the agent knows when to use it
~55
When it runs· the whole SKILL.md, loaded when a task matches
~2.6k
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Download SKILL.mdSave it as .claude/skills/linkedin-profile-optimizer/SKILL.md (or your agent's skills folder).
name
linkedin-profile-optimizer
description
Optimize a LinkedIn profile for searchability, recruiter visibility, and engagement. Use when the user mentions LinkedIn profile, headline, About section, recruiter visibility, or social hiring.
Senior Product Manager | B2B SaaS | Driving 0→1 Products from Concept to $10M ARR
Data Scientist | Machine Learning & Analytics | Turning Data into Business Decisions
Software Engineer | Python, AWS, Kubernetes | Building Scalable Systems at Fortune 500
Marketing Director | Growth & Brand Strategy | 3x Revenue Growth at Series B Startups
Keyword Strategy:
Include terms recruiters search for:
Your job title (and variations)
Key skills (languages, tools, methodologies)
Industry terms
Certifications
4. About Section (Summary)
Character Limit: 2,600 characters
Recommended Length: 1,500-2,000 characters (3-5 paragraphs)
Structure:
[HOOK - Compelling first line that shows up in preview]
[PARAGRAPH 1: Who you are and what you do]
[PARAGRAPH 2: Your key achievements and specialties]
[PARAGRAPH 3: What you're looking for or passionate about]
[SKILLS LIST: Core competencies, searchable keywords]
[CALL TO ACTION: How to reach you]
Example:
I help SaaS companies turn product ideas into revenue.
For the past 8 years, I've been building products that people actually want to use. From a payments platform that processed $50M monthly to a developer tool used by 100K+ engineers, I've led cross-functional teams from idea to launch and beyond.
What I do best:
→ Transform ambiguous customer problems into clear product roadmaps
→ Build and lead high-performing product teams
→ Drive growth through data-informed decision making
→ Bridge technical and business stakeholders
Currently, I'm a Senior Product Manager at [Company], where I lead our API platform serving 500+ enterprise customers. Previously, I led product at [Previous Company] through their Series B and 10x growth.
Key skills: Product Strategy, Roadmap Planning, Agile/Scrum, User Research, A/B Testing, SQL, Data Analysis, Stakeholder Management, B2B SaaS, API Products
Let's connect! I'm always happy to chat about product, SaaS, or career advice for aspiring PMs. Reach me at [email].
First Line is Crucial:
Only ~300 characters show before "see more" - make them count!
5. Experience Section
Key Differences from Resume:
Can be longer and more detailed
Should include media (presentations, links)
Can show personality
Update regularly (not just when job hunting)
For Each Role Include:
Clear job title
Company (with logo linked)
Date range
Location
Description (2-3 sentences about the role)
4-6 bullet points with achievements
Media attachments if available
Example:
Senior Product Manager
TechCorp Inc. · Full-time
Jan 2021 - Present · 3 yrs 1 mo
San Francisco, CA · Hybrid
Leading product strategy for TechCorp's API Platform, serving 500+ enterprise customers and generating $20M ARR.
• Grew platform revenue from $5M to $20M ARR by launching 3 new product lines and expanding into enterprise segment
• Led cross-functional team of 15 (engineering, design, data) to deliver 25+ features with 95% on-time delivery rate
• Improved customer retention from 82% to 94% through proactive feature development based on usage analytics
• Established product analytics framework using Amplitude, increasing feature adoption by 40%
• Collaborated with sales team to close 50+ enterprise deals worth $10M+ by participating in technical sales calls
Skills: Product Management · B2B SaaS · API Design · Agile Methodology · Stakeholder Management
6. Skills Section
Strategy:
List up to 50 skills (use all 50!)
Order by relevance and endorsements
Get endorsements for top skills
Include both technical and soft skills
Categories to Include:
Job-specific skills (Product Management, Data Analysis)
Tools (JIRA, Salesforce, Python)
Methodologies (Agile, Six Sigma)
Soft skills (Leadership, Communication)
Industry terms (B2B, SaaS, Enterprise)
Top 3 Featured Skills:
Choose your three most important, most endorsed skills
7. Featured Section
Use For:
Portfolio pieces
Published articles
Presentations
Media coverage
Important posts
Project highlights
Why It Matters:
Appears prominently on profile - showcase your best work
8. Recommendations
Target: 5-10 quality recommendations
Best Sources:
Former managers
Direct reports
Cross-functional partners
Clients/customers
How to Get Them:
Give recommendations first
Ask specific people directly
Make it easy - suggest talking points
Time it right (after successful project)
Show full SKILL.md (314 more words)Show less
Keyword Optimization
Finding Keywords
Search job descriptions for your target role
Look at profiles of people in roles you want
Use LinkedIn's Skills section suggestions
Check industry publications for terminology
Keyword Placement
Place keywords in:
Headline (highest weight)
About section (multiple times naturally)
Experience descriptions
Skills section
Recommendations (ask recommenders to use)
Search Algorithm Tips
Exact matches matter (use exact phrases)
Keyword density helps (repeat important terms)
Recent activity boosts visibility
Complete profiles rank higher
Engagement increases reach
Profile Completeness Checklist
All-Star Profile Requirements:
✅ Professional photo
✅ Custom headline (not just job title)
✅ Current position with description
✅ Two past positions
✅ Education
✅ At least 5 skills
✅ Industry and postal code
✅ 50+ connections
Beyond All-Star:
✅ Custom background banner
✅ Featured section populated
✅ About section (1500+ characters)
✅ Rich media in Experience
✅ 500+ connections
✅ Recommendations (5+)
✅ All 50 skills listed
✅ Volunteer experience
✅ Certifications
Recruiter Visibility Settings
Open to Work Feature
Settings to configure:
Job titles you're interested in
Location preferences
Start date
Job types (full-time, contract, etc.)
Visibility Options:
All LinkedIn members (shows green badge)
Recruiters only (hidden, more discreet)
Profile Visibility
Ensure these are ON:
Profile viewing options: Show full profile
Sharing profile edits: Your choice
Represent in LinkedIn Services: ON (if relevant)
Content Strategy
Why Post Content?
Increases profile visibility
Demonstrates expertise
Builds personal brand
Attracts opportunities
Content Types:
Industry insights/opinions
Professional lessons learned
Career milestones
Helpful resources
Engagement with others' content
Posting Frequency:
Minimum: 1x per week
Optimal: 3-5x per week
Comment/engage: Daily
Output Format
When optimizing a LinkedIn profile:
markdown
# LINKEDIN PROFILE OPTIMIZATION
## Current Profile Assessment
**Completeness:** X%
**Searchability Score:** X/10
**Key Issues:** [List]
## Optimized Sections
### Headline
**Current:** [Their current headline]
**Optimized:** [New headline with keywords]
### About Section
[Full optimized About section text]
### Experience Improvements
**[Company Name]**
- Add: [Suggested additions]
- Modify: [Suggested changes]
- Media to add: [Suggestions]
### Skills to Add
[List of skills to add based on target roles]
### Keywords Integrated
[List of keywords added throughout profile]
## Action Items
1. [ ] Update headline
2. [ ] Rewrite About section
3. [ ] Update current role description
4. [ ] Add X skills
5. [ ] Request X recommendations
6. [ ] Add featured content
7. [ ] Upload professional photo
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.
Linkedin Profile Optimizer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
Linkedin Profile Optimizer compared with similar skills
Skill
Stars
Used in
Tokens
Auto-check
Licence
Repo updated
Linkedin Profile Optimizer this skilldavila7/claude-code-templates
A skill your agent uses when polishing, diagnosing, tailoring, or exporting resumes for LLM, RAG, Agent, Agentic RL, post-training, pretraining, AIGC, search/ranking, multimodal, AI backend, or LLM…
Build a reusable career-evidence bank, match it to a job description (JD), select the best installed resume skill, and deliver an application-ready resume.
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
Analyzes Neuropixels recordings from SpikeGLX or Open Ephys through preprocessing, drift correction, Kilosort4 spike sorting, quality metrics and curation.
Guides corrective and preventive action (CAPA) work in a quality management system, from initiation and root cause analysis through effectiveness verification.
Optimize a LinkedIn profile for searchability, recruiter visibility, and engagement. Linkedin Profile Optimizer is an agent skill from davila7/claude-code-templates. Optimize a LinkedIn profile for searchability, recruiter visibility, and engagement.
When should I use Linkedin Profile Optimizer?
Linkedin Profile Optimizer fits situations like: the user mentions LinkedIn profile; recruiter visibility.
How do I install Linkedin Profile Optimizer in Claude Code?
Run `npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a claude-code`. Or copy the skill folder (cli-tool/components/skills/career/linkedin-profile-optimizer in davila7/claude-code-templates) into .claude/skills/linkedin-profile-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install Linkedin Profile Optimizer in Codex?
Run `npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a codex`. Or copy the skill folder (cli-tool/components/skills/career/linkedin-profile-optimizer in davila7/claude-code-templates) into .agents/skills/linkedin-profile-optimizer in your project. Codex loads it when a task matches its description.
Can I use Linkedin Profile Optimizer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add davila7/claude-code-templates --skill linkedin-profile-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-profile-optimizer, .gemini/skills/linkedin-profile-optimizer, .github/skills/linkedin-profile-optimizer and .opencode/skills/linkedin-profile-optimizer in your project.
What does Linkedin Profile Optimizer need to run?
SKILL.md names no scripts, command-line tools or credentials: Linkedin Profile Optimizer is instructions for the agent only.
Does Linkedin Profile Optimizer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Linkedin Profile Optimizer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Linkedin Profile Optimizer use?
Linkedin Profile Optimizer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Linkedin Profile Optimizer use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Linkedin Profile Optimizer?
Skills that share tags, products or a category with Linkedin Profile Optimizer: Job Description Skill (yanliudesign/job-description-skill, 112 stars), Offer Toolkit Skill (yanliudesign/offer-toolkit-skill, 520 stars), Linkedin Profile (mohitagw15856/pm-claude-skills, 1.4k stars) and Linkedin SEO (revfactory/harness-100, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Linkedin Profile Optimizer?
davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,483 GitHub stars. The repository holds 478 skills in this directory. The repository was last updated on October 9, 2026.
Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.