What is linkedin-optimizer?

A LinkedIn profile improvement guide for people seeking jobs, building a professional reputation, selling services, or networking. It covers the profile text, headline, photo, banner, keywords, and target audience.

Use it to rewrite your headline and summary, improve profile sections, choose relevant keywords, and plan a more suitable photo or banner.

It helps turn a general profile into one aimed at a specific audience and goal. It also provides structure for presenting experience and skills more clearly.

linkedin-optimizer — Skill for Claude Code and Codex by khalilbenaz

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add khalilbenaz/claude-skills-collection --skill linkedin-optimizer

Clone the repo

git clone --depth 1 https://github.com/khalilbenaz/claude-skills-collection

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/linkedin-optimizer/github.svg)](https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/linkedin-optimizer)

Your own site

<a href="https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/linkedin-optimizer"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/linkedin-optimizer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/khalilbenaz/claude-skills-collection/linkedin-optimizer"><img src="https://agentmods.dev/badge/skills/khalilbenaz/claude-skills-collection/linkedin-optimizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,881 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00095	$0.01881
Opus 5	$0.00048	$0.00941
Sonnet 5	$0.00019	$0.00376
Haiku 4.5	$0.00010	$0.00188

Measured 9d ago against content hash f182474d6320, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

linkedin-optimizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

career-skills/linkedin-optimizer/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Optimizer

Étape 0 — Cadrage (obligatoire)

Avant toute optimisation, poser ces 3 questions :

Objectif principal : recrutement actif / personal branding / prospection B2B / réseautage ?
Cible : entreprises FR, international, freelance, investisseurs ?
Matière première : l'utilisateur colle le contenu de son profil actuel, ou section par section.

Adapter le ton et les mots-clés selon la cible avant de produire quoi que ce soit.

Étape 1 — Photo & Bannière

Photo (critères non-négociables) :

Fond neutre, visage occupant 60-70% du cadre, sourire naturel.
Résolution min. 400×400 px, format carré.
Pas de selfie, pas de photo de groupe recadrée.

Bannière (1584×396 px) :

Bannière personnalisée > fond bleu par défaut (signal sérieux vs passif).
Contenu utile : titre/domaine + lien vers portfolio, site, Calendly.
Outil gratuit : Canva > "LinkedIn Banner" (templates prêts).

Étape 2 — Headline (220 caractères max)

Structure recommandée :

[Titre métier] | [Valeur ajoutée spécifique] | [Mot-clé secondaire]

Exemples concrets :

# Développeur backend
Avant : "Software Engineer at Acme"
Après  : "Backend Engineer (Java/Spring) | Systèmes haute dispo 99,9% | Open to remote"

# Consultant indépendant
Avant : "Consultant IT"
Après  : "Consultant Cloud & DevOps | AWS/Azure | Réduit le time-to-deploy de 40%"

# En recherche d'emploi
Avant : "En recherche d'opportunités"
Après  : "Product Manager | SaaS B2B | 8 ans e-commerce | Open to Work"

Règles headline :

Jamais "Passionné par..." en headline — ça ne se scanne pas.
Inclure au moins 2 mots-clés recruteurs (chercher les intitulés dans les offres cibles).
En recherche active : activer "Open to Work" (mode visible recruteurs seulement ou public).

Étape 3 — Section "À propos" (2 600 caractères max)

Structure en 4 blocs :

[Hook — 1 phrase accrocheuse]
[Parcours — 2-3 phrases, faits concrets]
[Valeur ajoutée — ce que tu apportes à une équipe/client]
[CTA — comment te contacter ou voir ton travail]

Read the full file on GitHub · 199 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago First seen · 199 lines · 95 tokens per session scan A f182474d6320

Subscribe to this mod's changes

linkedin-optimizer is a skill published in the GitHub repository khalilbenaz/claude-skills-collection (22 stars, last pushed 19d ago), licensed MIT. It adds 95 tokens to every session and 1,881 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Marketing and SEO Writing and docs ai-skills anthropic claude french

linkedin-optimizer

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

LinkedIn Optimizer

Étape 0 — Cadrage (obligatoire)

Étape 1 — Photo & Bannière

Étape 2 — Headline (220 caractères max)

Étape 3 — Section "À propos" (2 600 caractères max)

What this file has done since we first saw it

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