This generates LinkedIn posts for GEO (Generative Engine Optimization) thought leadership, specifically focused on helping businesses show up in AI model responses like ChatGPT and Perplexity. It walks you through picking a pillar (education, case study, insight, behind the scenes), then structures your post accordingly with French-language formatting optimized for LinkedIn readability. The hook bank is solid with counterintuitive angles and the three-question test (visualizable, falsifiable, unique) actually forces specificity instead of generic marketing speak. Built by ClawFu to integrate with GEOTOOL audit data, so if you're doing AI visibility consulting, this turns raw scores into shareable content. Outputs ready-to-paste posts, no fluff wrapper.

skills.sh installs
218
GitHub stars
150
last updated
Aug 21, 2026

Install

$ npx -y skills add guia-matthieu/clawfu-skills --skill linkedin-post --agent claude-code

Installs into .claude/skills of the current project.

Files

LinkedIn Post Generator Skill

Generate high-quality LinkedIn posts for GEO thought leadership.

Trigger

Use this skill when asked to write a LinkedIn post, or with /linkedin-post

Process

Step 1: Understand the Request

Ask if not provided:

  • Topic: What's the main subject?
  • Pillar: education | case_study | insight | behind_scenes
  • Context: Any specific data, audit results, or angle?

Step 2: Choose Structure by Pillar

Education Post
[HOOK - 1 ligne choc]

[CONTEXT - Pourquoi c'est important]

[CORE INSIGHT - 3-5 points clés]

[TAKEAWAY - Ce qu'il faut retenir]

[CTA - Question ou appel]
Case Study Post
[HOOK - Le résultat choc]

[DATA - Les chiffres clés]

[ANALYSIS - Ce que ça révèle]

[LESSON - L'apprentissage]

[CTA - Proposer un audit]
Insight Post
[HOOK - L'actualité/tendance]

[CONTEXT - Ce qui s'est passé]

[ANALYSIS - Ce que ça signifie]

[IMPLICATION - L'impact pour l'audience]

[CTA - Question ou réflexion]
Behind the Scenes Post
[HOOK - Story opener]

[STORY - Ce qui s'est passé]

[LESSON - Ce que j'ai appris]

[ASK - Question à l'audience]

Step 3: Apply the 3 Questions Test

Sponsors

Details

Repository
github.com/guia-matthieu/clawfu-skills
Categories
Code Review & Quality, Marketing & SEO
First seen
Jun 3, 2026

More from guia-matthieu/clawfu-skills

All 96
1manojbajaj95 avatarx-impact-checkermanojbajaj95/claude-gtm-pluginAnalyze and optimize X (Twitter) posts for viral potential and reach using heuristics inspired by X's published open-source recommendation architecture. Use whe218skills.sh installs
2martinholovsky avatargraphql-expertmartinholovsky/claude-skills-generatorExpert GraphQL developer specializing in type-safe API development, schema design, resolver optimization, and federation architecture. Use when building GraphQL218skills.sh installs
3mcollina avatargithumanmcollina/githuman-skillsReview AI-generated code changes before committing using GitHuman. Use when reviewing code changes, creating code reviews, checking what the AI agent wrote, pre218skills.sh installs
4davila7 avatarneuropixels-analysisdavila7/claude-code-templatesNeuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation217skills.sh installs
5oakoss avatarknowledge-graph-builderoakoss/agent-skillsImplements knowledge graphs for AI-enhanced relational knowledge. Covers ontology design, graph database selection (Neo4j, Neptune, ArangoDB, TigerGraph), entit217skills.sh installs
6easychen avataropc-orchestratoreasychen/opc-methodologyOrchestrate the full one-person company workflow across all OPC skills. Use when Codex needs to start, continue, or review the complete 一人企业方法论流程, read prior ou216skills.sh installs