linkedin-profile — Claude skill: audit and rewrite your LinkedIn
This skill scores your LinkedIn profile, then rewrites the headline, About section and experience bullets. Useful when views come in but nothing converts.
/plugin marketplace add alirezarezvani/claude-skills
/plugin install linkedin@claude-code-skillsWhat linkedin-profile does
The skill grades a profile from 0 to 100 across 14 weighted checks and sorts every fix by points per hour. That ranking matters: Featured, Open To and skills usually pay back in minutes, while the About section people want to polish first often pays back last. There is a first-hour plan printed with the audit.
Next comes the headline, the only string that travels with your comments, search results and invitations. It gets scored on five dimensions worth 20 points each: audience, outcome, proof, searchability, clarity. The script also checks the 220-character cap and whether the opening stretch of the line carries anything, since that is what survives in search and invitation previews. The About builder takes five named parts from the user and rejects a fold that cuts mid-sentence, a missing call to action, or a section over 2,600 characters.
Three Python scripts do the work: headline_scorer.py, profile_completeness_auditor.py and about_section_builder.py. A fillable worksheet and an example input JSON ship alongside them. Nothing is scraped — you describe your own profile. Worth installing if LinkedIn is a real inbound channel for you; if it isn't, there is nothing here to run.
What it helps with
- score a headline on five dimensions and see what it lacks
- get a first-hour fix plan ranked by points per hour
- assemble an About section that survives the "…see more" fold
- turn a list of duties into outcome bullets
- run a 14-check audit over the whole profile
Example prompts for the agent
- audit my LinkedIn profile and tell me what to fix first
- score my headline: `python3 scripts/headline_scorer.py --headline "..." --output human`
- build my About section from these five parts with `about_section_builder.py`
How to install linkedin-profile
1Plugin marketplace
/plugin marketplace add alirezarezvani/claude-skills/plugin install linkedin@claude-code-skillsThis installs the whole linkedin plugin with all its skills
2Skills CLI (Vercel)
npx skills add alirezarezvani/claude-skills --skill linkedin-profile -a claude-code3Manually: put the files in place
~/.claude/skills/linkedin-profile/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/linkedin-profile/
Manually: put the files in place
.agents/skills/linkedin-profile/SKILL.mdFor all projects use ~/.agents/skills/
Manually: put the files in place
.cursor/skills/linkedin-profile/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install alirezarezvani/claude-skills linkedin-profile2Manually: put the files in place
.github/skills/linkedin-profile/SKILL.mdPlatform CLI
gemini skills install https://github.com/alirezarezvani/claude-skills --path marketing/linkedin/skills/linkedin-profileManually: put the files in place
.devin/skills/linkedin-profile/SKILL.mdThe legacy .windsurf/skills/ path still works
Claude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set349
The whole set →Similar
Questions about linkedin-profile
How do I install linkedin-profile in Claude?
Add the marketplace and install the plugin: /plugin marketplace add alirezarezvani/claude-skills, then /plugin install linkedin@claude-code-skills. Or run npx skills add alirezarezvani/claude-skills --skill linkedin-profile -a claude-code.
What does linkedin-profile do?
It audits a LinkedIn profile from 0 to 100, scores the headline on five dimensions, and assembles the About section from parts you supply. Fixes are ranked by points per hour.
Does it need access to my LinkedIn account?
No. Nothing is fetched from the page. You describe the profile section by section or fill in assets/profile_worksheet.md, and the scripts work from that input.
Source text
SKILL.md · MIT
--- name: linkedin-profile description: Use when someone wants their LinkedIn profile audited or rewritten — headline, About section, experience bullets, Featured, banner, recommendations — or says "fix my headline", "my profile gets views but nothing happens", "optimize my LinkedIn profile", "what should my About section say". Scores the headline on five dimensions, audits the whole profile 0-100 and ranks fixes by points per hour, and assembles an About section that survives the "…see more" fold. license: MIT metadata: version: 1.0.0 author: Alireza Rezvani category: marketing updated: 2026-08-25 --- # LinkedIn Profile — audit, then rewrite the parts that pay A profile is not a CV. A CV is read by someone who already decided to consider you; a profile is read by someone deciding whether to. Three readers, in descending volume: the **scanner** (three seconds, from your comment on someone else's post — sees photo and headline only), the **evaluator** (forty seconds — headline, half the About, Featured), the **decider** (minutes — everything). Almost all traffic is the scanner. Almost all conversion is the decider. ## Workflow **1. Audit before rewriting.** Ask them to describe their profile section by section, or have them fill [`assets/profile_worksheet.md`](assets/profile_worksheet.md), then: ```bash python3 scripts/profile_completeness_auditor.py --input profile.json --output human ``` Exit 0 STRONG / 2 INCOMPLETE / 3 WEAK. It ranks every gap by **points per hour** and prints a first-hour plan — usually Featured, Open To, and skills, which cost minutes and recover real points. Start there, not with the About section they wanted to agonise over. **2. Headline next — it is the only string that travels.** It rides along with every comment, search result, and invitation. ```bash python3 scripts/headline_scorer.py --headline "..." --output human ``` Five dimensions at 20 points: audience, outcome, proof, searchability, clarity. Exit 0 SHIP (≥75) / 2 SHARPEN / 3 REWRITE. It also checks the 220-character cap and whether the first ~60 characters — the part that survives in search results and invitation previews — carry anything. Iterate here. Two or three passes is normal; the stop condition is exit 0, or the user saying they would say it out loud to a peer. **3. About section — write to the fold.** LinkedIn collapses it after roughly 265-300 characters. Collect the five parts from the user, then assemble: ```bash python3 scripts/about_section_builder.py --input about.json --output human ``` It refuses a fold that cuts mid-sentence, a fold carrying no audience and no proof, a missing call to action, and anything over 2,600 characters. **4. Experience, Featured, recommendations.** Rewrite duty lists as outcomes. Pin one artifact a stranger could evaluate in sixty seconds. Ask for two specific recommendations by naming the project and offering a first draft. ## Rules - **Never invent a credential, a metric, or a role.** Every number on a profile is checkable by someone. If the proof does not exist, the claim is qualitative or it is absent. - **First person.** A profile in third person reads as a press release someone else wrote. - **The fold is the section.** Whatever sits above "…see more" is what most readers get. - **Front-load the headline.** The strongest segment first; everything after is a bonus. - **Do not fetch anything.** The user describes their own profile; nothing is scraped. ## Scripts | Script | Role | |---|---| | [`scripts/headline_scorer.py`](scripts/headline_scorer.py) | Headline 0-100 on audience / outcome / proof / searchability / clarity, plus the 220-char cap and front-load check. | | [`scripts/profile_completeness_auditor.py`](scripts/profile_completeness_auditor.py) | Whole profile 0-100 across 14 weighted checks; fixes ranked by points per hour with a first-hour plan. | | [`scripts/about_section_builder.py`](scripts/about_section_builder.py) | Assembles the About section from named parts and refuses a broken fold, a missing CTA, or an over-length section. | ## References and assets - [`references/profile_architecture.md`](references/profile_architecture.md) — what each section is for, and the three readers (7 sources) - [`references/headline_and_positioning.md`](references/headline_and_positioning.md) — the 220 characters that follow you everywhere (7 sources) - [`assets/profile_worksheet.md`](assets/profile_worksheet.md) — fillable section-by-section worksheet - [`assets/example_profile.json`](assets/example_profile.json) — input shape for the auditor ## Distinct from - **`linkedin-strategy`** — what to post and how often. This is who you are before you post. If the audience answer is fuzzy, run `positioning_brief.py` there first; the headline falls out of a good brief in ten minutes. - **`product-team/`, `c-level-advisor/`** — career and role strategy. This writes the profile, not the career plan. --- **Version:** 1.0.0
© Alireza Rezvani · MIT · alirezarezvani/claude-skills