linkedin-content-generator

MarketingSafeClaude

How to Install

This skill comes from a community source. Check the original listing for install instructions.

General Claude Code install: copy SKILL.md to ~/.claude/skills/

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 Carousel

Generates numbered slide content plus a ready-to-use LinkedIn caption.

Usage:

/generate-carousel <topic> [in <niche>] [<n> slides] [style: how-to|listicle|myth-busting|framework|story-arc]

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:

/generate-carousel 10 prompt engineering mistakes 8 slides style: myth-busting

/generate-carousel building a second brain in Knowledge Management 7 slides style: how-to

/generate-carousel the PARA method for productivity in Personal Development style: framework

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:

/generate-newsletter <topic> [in <niche>] [length: short|medium|long] [title: "<series title>"]

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:

/generate-newsletter how AI is reshaping hiring in HR & Recruiting length: medium

/generate-newsletter the state of developer tools in 2026 in DevTools length: long title: "Build Layer Weekly"

Output structure: 1. SEO-optimised H1 headline 2. Opening hook (personal anecdote, statistic, or bold claim) 3. Body sections with H2 subheadings 4. Key takeaways (3–5 bullets) 5. One specific action step for this week 6. 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:

/generate-calendar [niche: <niche>] [days: <n>] [frequency: <freq>] [goal: awareness|engagement|leads|authority|growth]

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:

/generate-calendar niche: Fintech days: 30 frequency: daily goal: authority

/generate-calendar niche: Marketing Agencies days: 14 frequency: 5 times a week goal: leads

`/show-memory` — Display Preferences

Displays current memory contents: niche, tone, style, and all saved feedback entries.

Usage:

/show-memory

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:

/feedback <what worked well>

Examples:

/feedback the contrarian hook "everyone is wrong about X" drove 400% more impressions

/feedback myth-busting carousels in the DevOps niche get 3x more saves than listicles

/feedback storytelling tone with a personal failure story outperforms data-driven in my audience

`/clear-memory` — Reset Memory

Resets memory.md to factory defaults. The command asks for confirmation before executing.

Usage:

/clear-memory

LinkedIn SEO Rules (Enforced Automatically)

The skill injects these rules into every prompt via the bundled scripts/utils.py. They are not optional; they are part of the prompt engineering that makes outputs platform-native.

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

✅ Set Primary Niche in memory.md before generating any content.
✅ Run /feedback after any post that performs well — the memory compounds over time.
✅ Use /generate-calendar first when planning a content sprint; it provides topics for /generate-post and /generate-carousel runs.
✅ Mix carousel styles across a calendar period: listicle, myth-busting, and story-arc perform differently and prevent audience fatigue.
✅ Test the controversial tone on topics where you have a genuine, defensible stance; avoid it for topics where nuance is more valuable than edge.
❌ Do not skip the /feedback loop — without it, every output starts from generic LinkedIn best practices rather than your specific audience data.
❌ Do not post more than 5 hashtags; LinkedIn's algorithm penalises hashtag stuffing.
❌ Do not use the data-driven style without real statistics to cite; fabricated numbers destroy credibility faster than any other LinkedIn mistake.
❌ Do not generate a 30-day calendar without specifying goal; the default growth goal mixes formats broadly and may not match a specific campaign objective.

Limitations

This skill does not publish to LinkedIn directly. All output is copy-paste ready but requires manual posting via the LinkedIn web or mobile app.
The memory system is file-based and local. It is not shared across machines or team members without manually syncing memory.md.
The skill does not verify real-time LinkedIn algorithm changes. SEO rules are based on documented best practices as of mid-2025 and may need manual updates as the platform evolves.
Calendar output does not auto-schedule posts or integrate with scheduling tools (Buffer, Hootsuite, etc.). It produces a Markdown table for manual import.
The slides parameter is clamped to the range 3–12. Carousels outside this range will silently be adjusted to the nearest boundary.
memory.md grows unbounded as feedback accumulates. Very large memory files (500+ entries) may exceed prompt context limits and cause truncation. Periodically archive old entries using /clear-memory and re-seed with your top learnings.
Does not work in sandboxed environments where python3 is unavailable or Bash tool calls are blocked.

Security & Safety Notes

This skill uses the Bash allowed-tool to run Python scripts bundled at ~/.claude/skills/linkedin-content-generator/scripts/. All scripts are read-only operations except memory_manager.py, which writes only to memory.md inside that same bundled scripts/ directory.

No network requests are made by any script.
No credentials, tokens, or secrets are read, written, or logged.
No files outside ~/.claude/skills/linkedin-content-generator/scripts/ are modified.
The clear command in memory_manager.py overwrites only the bundled memory.md; it does not delete any other files.
All --feedback and --id arguments passed to memory_manager.py are written verbatim to memory.md. Do not pass shell metacharacters or sensitive data as feedback strings.

All Bash commands in this skill are local Python invocations with no elevated privileges required:

# SKILL_SCRIPTS resolves to ~/.claude/skills/linkedin-content-generator/scripts
SKILL_SCRIPTS="${HOME}/.claude/skills/linkedin-content-generator/scripts"
python3 "${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

Common Pitfalls

Problem: Script exits with ModuleNotFoundError or No module named 'utils'. Solution: Each script uses sys.path.insert(0, SCRIPT_DIR) to locate utils.py relative to itself, so they must be invoked with an absolute path — not from inside the scripts/ directory. Use python3 "${HOME}/.claude/skills/linkedin-content-generator/scripts/generate_post.py" ....
Problem: Memory is not being applied to generated content. Solution: Check that memory.md exists at ~/.claude/skills/linkedin-content-generator/scripts/memory.md. Run /show-memory to confirm. If missing, run any generator command once — it auto-creates the file from the bundled template.
Problem: Calendar output is missing days or the table is malformed. Solution: Verify the --days value is a positive integer and --frequency is quoted if it contains spaces (e.g., "3 times a week"). The script passes these values directly into the prompt string.
Problem: Carousel slides exceed the requested count. Solution: The slides value is clamped server-side to [3, 12]. If Claude generates more slides than requested, it is following the style guide structure (cover + content + CTA). Specify an exact count and style to get precise control.
Problem: Generated post sounds generic despite feedback being saved. Solution: Memory entries are injected as context, not as hard rules. Use specific, actionable feedback: "opening with a personal failure story outperforms stats for my audience" is more useful than "storytelling was good".
Problem: python3 not found on Windows. Solution: Install Python 3.8+ from python.org and ensure it is on PATH, or run via py "%USERPROFILE%\.claude\skills\linkedin-content-generator\scripts\generate_post.py" .... On Windows without WSL, the Bash tool invocation may need adjustment in the SKILL.md allowed-tools context.

Related Skills

@content-creator — Broader brand voice analysis, SEO optimisation, and cross-platform content frameworks. Use when building a full content marketing system beyond LinkedIn alone.
@content-strategy — Topic cluster planning, editorial roadmap, and content mix strategy. Use before running /generate-calendar when you need to define pillar topics first.
@content-marketer — Campaign-level content planning across channels. Complements this skill when LinkedIn is one channel in a broader multi-platform launch.
@linkedin-automation — Programmatic LinkedIn post publishing via the Composio/Rube MCP. Use alongside this skill when you want to automate the publishing step after generating content here.
@linkedin-profile-optimizer — LinkedIn profile and personal brand optimisation. Use before running this skill to align generated content voice with your profile's headline, summary, and featured section.