li-profile
SkillAI & modelsLets your agent score your LinkedIn profile out of 100 and rewrite weak sections like the headline and about.
Then ask your AI: use the li-profile skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add it as a step in a pipeline you build on Ahel, or connect Ahel to Claude, ChatGPT, Cursor, Claude Code or Codex and ask your AI to use it.
About this 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
What this skill tells your AI
The instructions your AI receives, as published by jakeschincariol/linkedin-agent-skill in skills/li-profile/SKILL.md and read by Ahel’s review.
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.
Signals
- GitHub stars
- 2k
- Forks
- 251
- Last commit
- Sep 2026
Others that do the same job
Advanced
- Item type
- skill
- Key
li-profile-jakeschincariol- Source
- github.com/jakeschincariol/linkedin-agent-skill
github.com/jakeschincariol/linkedin-agent-skill
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