Agent skill · Content & Marketing

linkedin-content-generator

AI-powered LinkedIn content suite: generate posts, carousels, newsletters, and 30-day calendars with niche-specific SEO rules and a reinforcement-learning personal memory system.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 18 KB
Bundled scripts: yes
Declared author: sarveshkishortalele
Path: skills/linkedin-content-generator/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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-perfo

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Prerequisites
  4. How It Works
  5. Architecture
  6. Step 1: Set Up Your Niche (One-Time)
  7. Step 2: Generate Content
  8. Step 3: Save What Works
  9. Commands Reference
  10. /generate-post — Single LinkedIn Post
  11. /generate-carousel — LinkedIn Carousel
  12. /generate-newsletter — LinkedIn Newsletter Edition
  13. /generate-calendar — 30-Day Content Calendar
  14. /show-memory — Display Preferences
Ships with 7 files
  • scripts/generate_calendar.py
  • scripts/generate_carousel.py
  • scripts/generate_newsletter.py
  • scripts/generate_post.py
  • scripts/memory.md
  • scripts/memory_manager.py
  • scripts/utils.py
Commands it runs
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/
SKILL_SCRIPTS resolves to ~/.claude/skills/linkedin-content-generator/scripts
python3 "${SKILL_SCRIPTS}/generate_post.py" --topic "..." --niche "..." --tone professional --style list-based
python3 "${SKILL_SCRIPTS}/memory_manager.py" add --id "..." --feedback "..." --tags "..."
python3 "${SKILL_SCRIPTS}/memory_manager.py" read
python3 "${SKILL_SCRIPTS}/memory_manager.py" clear
More from agentic-awesome-skills
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About this skill
What does the linkedin-content-generator skill do?

AI-powered LinkedIn content suite: generate posts, carousels, newsletters, and 30-day calendars with niche-specific SEO rules and a reinforcement-learning personal memory system.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going