profile-optimizer.

Most LinkedIn profiles try to convert four audiences at once and end up converting none of them. profile-optimizer fixes that by forcing the writer to pick a single primary goal (booked calls, inbound leads, newsletter subscribers, or job opportunities) and rebuilding every section around it. The output is a full set of copy plus four image prompts, all coherent with the chosen goal.

LinkedIn rewards profiles that pick a fight. The profiles that convert are the ones that say clearly who they are for and who they are not for, and back the claim with proof on every surface. profile-optimizer is the skill that reorganises a profile around that principle. The first input it asks for is the conversion goal; everything else flows from that decision.

§01What it does

The skill loads about-me.md if it exists and pre-fills the writer's name, audience, topic pillars, and point of view. Then it asks for the four inputs that matter for a profile rebuild specifically: the primary goal of the profile (booked calls, inbound leads, newsletter subscribers, or job opportunities), the main offer or service, brand colours, and the strongest social proof available.

With those answers it produces the full set of copy: three to five headline options, an about section written for the chosen goal, experience entries that read as positioning rather than job descriptions, and a featured-section strategy with up to two external links. It also outputs four image generation prompts: a banner that carries the headline visually, a profile picture (only if the writer wants to reshoot), and two featured tiles that work as visual entry points to the offer or newsletter.

§02One goal, every surface

The reason profile-optimizer asks for the goal first is that LinkedIn profile sections compete with each other when the goal is unclear. The headline pulls one direction, the featured section pulls another, the about section hedges. Pick a single goal and the surfaces stop competing: the headline names the audience, the about section gives the value promise, the featured section delivers the conversion path. A reader scanning the profile for fifteen seconds gets a single coherent answer to who is this for and what do they do.

The asymmetry between these conversion goals matters too. A profile optimised for booked calls has a different headline rhythm than one optimised for newsletter subscribers, and a profile optimised for inbound leads looks different again. The skill knows the rhythms by goal and applies them, rather than producing one neutral profile that hedges across all four.

§03Setup

# Trigger phrases:
#   "optimize my profile"
#   "fix my LinkedIn"
#   "rewrite my headline"
#   "profile review"
#   "rebuild my profile"

The image prompts at the end are intended for Gemini with Create Image enabled. They use brand colours from the profile inputs and cap at the LinkedIn-recommended sizing for each surface. Generate the banner first; the featured tiles inherit its palette.

§04Caveats

A profile rebuild without a content engine behind it does not convert. Headline copy moves people from "interesting" to "let me check the feed", which means the feed has to deliver on the promise. Run profile-optimizer alongside post-writer rather than instead of it.

Re-running the skill is cheap and worth doing every six months. The conversion goal usually does not change; the social proof and offer copy almost always do.