li-profile

Solid

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.

Data & Documents 131 stars 20 forks Updated 3 days ago MIT

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Quality Score: 87/100

Stars 20%
71
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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 ...

Details

Author
Jakeschincariol
Repository
Jakeschincariol/linkedin-agent-skill
Created
3 days ago
Last Updated
3 days ago
Language
Python
License
MIT

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