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Li Profile 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.

1k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
112
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/Jakeschincariol/linkedin-agent-skill --skill li-profile

What comes with it

2 462 bytes besides the instruction
rubric.json

The instruction itself

5 sections, as written by the author

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.

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.

How to use it

Copy the folder

Take jakeschincariol/li-profile from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.