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linkedin-post-generator

Generate LinkedIn posts in SAS-AM brand voice across eight formats.

Updated Feb 19, 2026
Search Tags:#copywriting#interview#linkedin#content-creation#brand-voice#asset-management
One-click install
npx skills add https://github.com/SAS-Asset-Management/SASAMClaudeCodeSkills --skill linkedin-post-generator-sas-asset-management
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: linkedin-post-generator
Source: https://github.com/SAS-Asset-Management/SASAMClaudeCodeSkills/tree/main/linkedin-post-generator/1.0.0/skills/linkedin-post-generator
Command: npx skills add https://github.com/SAS-Asset-Management/SASAMClaudeCodeSkills --skill linkedin-post-generator-sas-asset-management

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a rigorous, interview-driven workflow to create authentic, on-brand LinkedIn content for SAS-AM. It surfaces real material through structured interviews before drafting, then generates multiple post formats in parallel to maximize engagement and efficiency. It also includes a comprehensive hook library and brand-guidance to ensure consistent voice and tone.

Core Features & Use Cases

  • Interview-first workflow: Surface stories, confessions, contrasts, myths, data points, and transformation opportunities directly from the user.
  • Multi-format production: Generate eight formats in parallel — SLAY, Confession, This Not That, Myth vs Reality, BABLA, Pillar Promotion, Quick Insight, and Carousel.
  • Hook & tone discipline: 20-hook library aligned to Australian English, with an emphasis on honesty, clarity, and practical insights; strict no emojis or hashtags.
  • Format Recommendation Engine: After interview, selects the strongest format for the topic and delivers all eligible formats for review.
  • LinkedIn-ready output: Provides clean, plain-text posts ready to paste into LinkedIn with supportive structural guidance.

Quick Start

In collaboration with the user, conduct a brief interview to surface real material and then run the tool to produce several draft formats in parallel.

Frequently Asked Questions about linkedin-post-generator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate on-brand LinkedIn posts from a topic brief?▼

Generating LinkedIn posts from a brief requires an initial interview to surface real material, after which the tool produces multiple draft formats in parallel using strict brand voice, Australian English, and no emojis or hashtags.

What LinkedIn post formats can I create for content creation?▼

You can create eight LinkedIn post formats: pillar promotion, quick insight, carousel, SLAY, confession, this-not-that, myth vs reality, and BABLA. A Format Recommendation Engine selects the strongest option while delivering all eligible drafts for review.

How do I extract authentic stories for LinkedIn copywriting?▼

Extracting authentic stories for LinkedIn copywriting requires participating in a structured interview workflow. This process surfaces real confessions, contrasts, myths, data points, and transformation opportunities directly from you before any drafting begins.

Does this LinkedIn content tool write in Australian English without emojis?▼

Yes, this LinkedIn content tool enforces strict brand-consistent voice using Australian English with no emojis or hashtags. It applies a 20-hook library aligned to these constraints to ensure clarity, honesty, and practical insights.

Can I turn a website article into multiple LinkedIn posts?▼

Yes, you can turn website articles into LinkedIn posts. The tool accepts website articles as input, runs an interview to surface relevant material, and generates multiple post formats in parallel for you to review and paste directly into LinkedIn.

What is the best way to maintain brand voice across different LinkedIn post formats?▼

The best way to maintain brand voice across LinkedIn post formats is using an interview-driven input process combined with a hook library and brand guidance. This ensures consistent tone and plain-text output across all eight generated post variations.

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