ranbot-ai/skills/linkedin-content-generator

LinkedIn Content Generator

Overview

A full LinkedIn content-creation suite for Claude Code that turns a topic and niche into publish-ready posts, multi-slide carousels, long-form newsletter editions, and 30-day content calendars — all wired through a personal reinforcement-learning memory system so every output improves as you give feedback.

Seven coordinated commands cover the full content workflow:

| Command | Purpose | |---|---| | /generate-post | Single ready-to-publish LinkedIn post | | /generate-carousel | Numbered slide content + caption | | /generate-newsletter | Long-form newsletter edition | | /generate-calendar | 30-day posting calendar with Markdown table | | /show-memory | Display current preferences and feedback log | | /feedback | Save what worked for future outputs | | /clear-memory | Reset memory to factory defaults |

All helper scripts are bundled inside skills/linkedin-content-generator/scripts/ and ship alongside this SKILL.md. They build richly engineered prompts, inject your saved preferences, and enforce LinkedIn SEO rules before Claude generates output. A local memory.md file persists your style, tone, successful hooks, and top-performing formats across every session.

When to Use This Skill

• Use when you need a ready-to-paste LinkedIn post with SEO-optimised hooks and hashtags.
• Use when building a multi-slide carousel deck for LinkedIn Documents.
• Use when writing a long-form LinkedIn Newsletter edition with structured sections.
• Use when planning an entire month of content with format variety and pacing rules.
• Use when you want content that adapts to your personal voice over time via saved feedback.
• Use when working in any niche (AI, SaaS, Marketing, Finance, Healthcare, etc.) and need platform-native formatting that avoids common LinkedIn algorithmic pitfalls.

Prerequisites

Python 3.8 or later must be available in your shell path.

The skill is self-contained. Install it from the antigravity skills library:

# Install via antigravity CLI (recommended)
antigravity install linkedin-content-generator

# Or copy manually into your Claude Code skills directory
cp -r skills/linkedin-content-generator ~/.claude/skills/

All six Python scripts and the default memory.md are bundled inside the scripts/ subdirectory of this skill. No additional cloning or downloads are required. No API keys, external services, or network access are needed.

How It Works

Architecture

User command (/generate-post ...)
        │
        ▼
SKILL.md parses $ARGUMENTS
        │
        ▼
Python script builds prompt
  • Injects LinkedIn SEO rules
  • Injects memory.md preferences
        │
        ▼
Claude generates publish-ready output
        │
        ▼
/feedback saves what worked → memory.md
        (loop — every future output improves)

Step 1: Set Up Your Niche (One-Time)

Open ~/.claude/skills/linkedin-content-generator/scripts/memory.md and update the Primary Niche field:

## Core Identity & Tone
- **Primary Niche:** AI & Technology   ← change this

This field is injected into every prompt. Without it, the skill defaults to "AI & Technology".

Step 2: Generate Content

Run any of the seven commands described in the Commands Reference section below. Claude reads the script output and produces the final content directly in the chat.

Step 3: Save What Works

After each output, save successful patterns with /feedback:

/feedback the storytelling hook in this post got 3x more comments than usual

The feedback is appended to memory.md and automatically injected into all future generation prompts.

Commands Reference

/generate-post — Single LinkedIn Post

Generates a scroll-stopping, SEO-optimised LinkedIn text post.

Usage:

/generate-post <topic> [in <niche>] [tone: controversial|storytelling|educational|motivational|professional]

Parameters:

| Parameter | Default | Options | |---|---|---| | topic | required | any subject | | niche | "AI & Technology" | any industry | | tone | professional | professional · storytelling · controversial · educational · motivational | | style | list-based | list-based · text-only · storytelling · data-driven · contrarian |

Examples:

/generate-post why most developers fail at time management in Software Engineering tone: storytelling

/generate-post the real cost of technical debt in SaaS tone: controversial

/generate-post 5 things I wish I knew before my first startup in Entrepreneurship tone: educational style: list-based

Output structure:

1. Scroll-stopping hook (2 lines, triggers "see more")
2. Context / problem setup (2–3 short sentences)
3. Core value (numbered list or bullets, max 7 items)
4. Key takeaway (1–2 punchy sentences)
5. Specific call to action
6. 3–5 hashtags (broad + niche + community mix)

---

/generate-carousel — LinkedIn