Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner.

MITAuto-check passedEducation

Install Li Profile

skills CLI
$ npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Jakeschincariol/linkedin-agent-skill li-profile --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/li-profile .claude/skills/li-profile && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
li-profile
GitHub stars
1.7k
Token cost
~818 tokens
SKILL.md length
457 words
Files
2
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner.

  • The user says optimize my profile
  • SKILL.md covers Input, Score it, Then rewrite, in this order and Output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Score my LinkedIn

What it does

Li Profile is an agent skill from Jakeschincariol/linkedin-agent-skill. Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner. Use when the user says "optimize my profile", "score my LinkedIn", "rewrite my headline", "fix my about section", or pastes their profile and asks how it reads.

Its SKILL.md is about 820 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `rubric.json`).

It sits in Education, covering Quizzes and assessments and Resume and CV writing. It works with LinkedIn. The repository describes itself as: Eleven free Claude skills that run a LinkedIn account: posts off 21 hook formulas, comments, replies, profile score, weekly plan, and a humanizer that strips the AI fingerprint… The licence is MIT.

When your agent uses it

  • The user says optimize my profile
  • Score my LinkedIn
  • Rewrite my headline
  • Fix my about section

Example prompts

  • “optimize my profile”
  • “score my LinkedIn”
  • “rewrite my headline”
  • “/li-profile”

What it can do on your machine

Read from SKILL.md and the folder at commit add2c23. 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.

    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

Li Profile loads about 818 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 457 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~818

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.

SKILL.md

The full file from Jakeschincariol/linkedin-agent-skill at commit add2c23, republished under its MIT licence (© Jakeschincariol). 457 words, ~818 tokens.

Download SKILL.mdSave it as .claude/skills/li-profile/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
li-profile
description
Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner. Use when the user says "optimize my profile", "score my LinkedIn", "rewrite my headline", "fix my about section", or pastes their profile and asks how it reads.

li-profile

A profile is not a resume. A resume answers "what have you done". A profile answers "should I message this person", and it answers it in about four seconds, from the headline and the first two lines of the about.

Input

Ask the user to paste: headline, about section, current role and the last two experience entries, plus whether they have a banner and featured section. A screenshot of the top card is enough for the first pass. Do not log into LinkedIn on their behalf.

Score it

Read rubric.json in this folder. Twelve items, 100 points, each with what full marks looks like. Score every item, show the table, and give the total. Be honest - most profiles land in the 30s and 40s on the first pass, and a generous score is useless.

PROFILE SCORE  41/100

  headline            3/12   job title only, no outcome, no audience
  about first 2 lines 2/10   opens with "passionate about"
  about body          4/10   history, not offer
  featured            0/8    empty
  banner              0/6    default blue
  ...

Then rewrite, in this order

Fix in descending order of points lost. Do not rewrite everything at once - the user has to actually paste each of these in.

1. Headline (220 characters). The formula that works: {what you do for whom} | {proof} | {how to start}. Not your job title. Not "Helping X do Y" as the first three words, which every second profile now opens with. Give three options.

2. About, first two lines. Everything after line 2 is behind "see more" on mobile, so those two lines are the whole about section for most readers. They must state who you help and what changes. No "passionate", no "results-driven", no third-person bio, no opening with your own name.

3. About body. Written to one reader, in the second person. Structure: the problem they have, what you do about it, one piece of proof with a number, what to do next. Under 1,400 characters even though the limit is 2,600.

Show full SKILL.md (163 more words)Show less

4. Featured. Three items: the best post, the proof asset, the way to contact. An empty featured section is eight points and the only place on the profile you fully control.

5. Experience. Each role gets one line of scope and two to three bullets that are outcomes with numbers, not duties. Cut anything older than ten years to a single line.

6. Banner. One sentence of positioning and one way to reach you. The default blue gradient is the clearest signal on the page that nobody is home.

Output

Score table, then the rewrites as copy-ready blocks in fix-first order, each one already run through /li-human. Re-score at the end and show the delta honestly - if the rewrite gets to 88 and not 98, say 88, and say what the remaining points need (usually recommendations, a real banner and posting history, none of which a rewrite can create).

Nothing is saved to LinkedIn by this skill. The user pastes each section in.

© Jakeschincariol, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/li-profile of Jakeschincariol/linkedin-agent-skill.

  • SKILL.md
  • rubric.json

Open the folder on GitHubat commit add2c23

Compare with similar skills

Li Profile 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.

Li Profile compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Li Profile this skillJakeschincariol/linkedin-agent-skill1.7k—~818Automated safety check: PassMIT
Lockedin Auditdaypunk/LockedIn128—~1.8kAutomated safety check: PassMIT
Lockedin Render Resume Endaypunk/LockedIn128—~884Automated safety check: PassMIT
Scholar Journaljoshzyj/open-scholar-skill168—~15kAutomated safety check: PassCustom licence
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch66k—~2kAutomated safety check: PassMIT

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  • Li Comment

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  • Li Dm

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Works with

Categories

Questions about Li Profile

What does Li Profile do?

Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner. Li Profile is an agent skill from Jakeschincariol/linkedin-agent-skill. Score a LinkedIn profile out of 100 against a 12-part rubric and rewrite the parts that lose points - headline, about, experience, featured, banner.

When should I use Li Profile?

Li Profile fits situations like: the user says optimize my profile; score my LinkedIn; rewrite my headline; fix my about section.

How do I install Li Profile in Claude Code?

Run `npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a claude-code`. Or copy the skill folder (skills/li-profile in Jakeschincariol/linkedin-agent-skill) into .claude/skills/li-profile in your project. Claude Code loads it when a task matches its description.

How do I install Li Profile in Codex?

Run `npx skills add Jakeschincariol/linkedin-agent-skill --skill li-profile -a codex`. Or copy the skill folder (skills/li-profile in Jakeschincariol/linkedin-agent-skill) into .agents/skills/li-profile in your project. Codex loads it when a task matches its description.

Can I use Li Profile 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 Jakeschincariol/linkedin-agent-skill --skill li-profile -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/li-profile, .gemini/skills/li-profile, .github/skills/li-profile and .opencode/skills/li-profile in your project.

What does Li Profile need to run?

SKILL.md names no scripts, command-line tools or credentials: Li Profile is instructions for the agent only.

Does Li Profile 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 Li Profile 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 Li Profile use?

Li Profile 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 Li Profile use?

About 818 tokens (SKILL.md is roughly 3.3k 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 Li Profile?

Skills that share tags, products or a category with Li Profile: Lockedin Audit (daypunk/LockedIn, 128 stars), Lockedin Render Resume En (daypunk/LockedIn, 128 stars), Scholar Journal (joshzyj/open-scholar-skill, 168 stars) and DeepTutor CLI (HKUDS/DeepTutor, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Li Profile?

Jakeschincariol (a GitHub user) maintains it in Jakeschincariol/linkedin-agent-skill, which has 1,688 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 17, 2026.

Source: Jakeschincariol/linkedin-agent-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.