sickn33/agentic-awesome-skills/linkedin-content-generator
Claude Code and agent skill by sickn33/agentic-awesome-skills
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AI-powered LinkedIn content suite: generate posts, carousels, newsletters, and 30-day calendars with niche-specific SEO rules and a feedback-based personal memory system.
Install
npx vskill@latest install sickn33/agentic-awesome-skills/linkedin-content-generatorSKILL.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 feedback-based memory system so later prompts can reflect your feedback; improvement is not guaranteed.
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 suggest editorial conventions 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 Agentic Awesome Skills library:
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
Step 1: Set Up Your Niche (One-Time)
Open ~/.claude/skills/linkedin-content-generator/scripts/memory.md and update the Primary Niche field:
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:
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:
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:
Output structure:
- Scroll-stopping hook (2 lines, triggers "see more")
- Context / problem setup (2–3 short sentences)
- Core value (numbered list or bullets, max 7 items)
- Key takeaway (1–2 punchy sentences)
- Specific call to action
- 3–5 hashtags (broad + niche + community mix)
/generate-carousel — LinkedIn Carousel
Generates numbered slide content plus a ready-to-use LinkedIn caption.
Usage:
Parameters:
| Parameter | Default | Options | |
|---|---|---|---|
topic | required | any subject | |
niche | "AI & Technology" | any industry | |
slides | 7 | 3–12 | |
style | listicle | how-to · listicle · myth-busting · framework · story-arc |
Style guide:
| Style | Structure | |
|---|---|---|
how-to | Slide 1 = problem → slides 2–N = steps → last = result / CTA | |
listicle | Each slide = one item with bold title + 1–2 sentence explanation | |
myth-busting | Each slide = MYTH: [belief] → TRUTH: [reality] | |
framework | Introduce a proprietary framework; each slide = one component | |
story-arc | Slide 1 = before → middle = journey → last = after + CTA |
Examples:
Output: Slides numbered 1 through N, followed by a LinkedIn caption with hook, teaser context, "Swipe →" prompt, and hashtags.
/generate-newsletter — LinkedIn Newsletter Edition
Generates a complete long-form newsletter edition structured for the LinkedIn Newsletter editor.
Usage:
Parameters:
| Parameter | Default | Options | |
|---|---|---|---|
topic | required | any subject | |
niche | "AI & Technology" | any industry | |
length | medium | short (~700 w) · medium (~1,200 w) · long (~2,000 w) | |
title | auto-generated | optional series name |
Examples:
Output structure:
- SEO-optimised H1 headline
- Opening hook (personal anecdote, statistic, or bold claim)
- Body sections with H2 subheadings
- Key takeaways (3–5 bullets)
- One specific action step for this week
- Engagement question to spark comments
/generate-calendar — 30-Day Content Calendar
Generates a Markdown table calendar with monthly theme, SEO keywords, and format breakdown.
Usage:
Parameters:
| Parameter | Default | Options | |
|---|---|---|---|
niche | required | any industry | |
days | 30 | any positive integer | |
frequency | "3 times a week" | any posting cadence | |
goal | growth | awareness · engagement · leads · authority · growth |
Goal guide:
| Goal | Strategy | |
|---|---|---|
awareness | Shareable, relatable, trending; heavy on carousels and contrarian takes | |
engagement | Opinion posts, polls, questions, storytelling to maximise comments | |
leads | Educational value posts + authority-building + clear DM CTAs | |
authority | Deep insights, data-backed posts, thought leadership, newsletters | |
growth | Mix viral formats (carousels, lists, contrarian) with high-value education |
Examples:
Output: Markdown table (# | Day | Format | Topic / Angle | Hook | CTA) + monthly theme + top 5 SEO keywords + format breakdown summary.
/show-memory — Display Preferences
Displays current memory contents: niche, tone, style, and all saved feedback entries.
Usage:
Output: Full memory.md content with entry count, primary niche, and tone summary.
/feedback — Save Successful Patterns
Appends a labelled feedback entry to memory.md. Future outputs automatically incorporate saved patterns.
Usage:
Examples:
/clear-memory — Reset Memory
Resets memory.md to factory defaults. The CLI requires clear --confirm; review and back up the file before resetting.
Usage:
Editorial Conventions (Prompt Suggestions)
The skill injects these rules into every prompt via the bundled scripts/utils.py. They are editable suggestions, not verified LinkedIn ranking rules or code-enforced output constraints.
Hook Engineering
- Line 1 must be scroll-stopping (bold claim, surprising stat, provocative question, or
personal story opener).
- Line 2 must create a pattern interrupt that forces "see more".
- Forbidden openers:
"In today's...","I am excited to...","Happy to share...",
"Thrilled to announce...".
Readability Rules
- Maximum 2 sentences per paragraph.
- Aggressive line breaks — white space wins on LinkedIn.
- Bold used sparingly, only for critical points.
- Target reading level: Grade 8 or below.
Hashtag Strategy
- 1 broad hashtag (
#AI,#Marketing,#Leadership). - 2 niche hashtags (
#AIAgents,#ContentMarketing,#StartupLife). - 1–2 community hashtags (
#LinkedInTips,#PersonalBranding). - Hard limit: never more than 5 total.
Best Practices
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/linkedin-content-generator/SKILL.md
Popularity
- Repository stars
- 47,060
- Repository forks
- 6,855
- 7-day trend score
- 54
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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