Agent skill

Linkedin Content Generator

by sickn33 in sickn33/agentic-awesome-skills

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.

MITAuto-check passedWriting & Content

Install Linkedin Content Generator

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills linkedin-content-generator --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-content-generator .claude/skills/linkedin-content-generator && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkedin-content-generator
GitHub stars
47k
Used in
1 other repo
Token cost
~4.7k tokens
SKILL.md length
1,782 words
Files
8 (incl. scripts)
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 3 steps: Set Up Your Niche (One-Time) → Generate Content → Save What Works
  • Tasks that involve Newsletters
  • SKILL.md covers Overview, When to Use This Skill, Prerequisites and How It Works, plus 8 more sections
  • Runs Python scripts from its folder; calls python3, python and claude

What it does

Linkedin Content Generator is an agent skill from sickn33/agentic-awesome-skills. 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.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts (for example `scripts/generate_calendar.py`, `scripts/generate_carousel.py` and `scripts/generate_newsletter.py`).

It sits in Writing & Content, covering Newsletters and Reinforcement learning. It works with LinkedIn. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Newsletters
  • Tasks that involve Reinforcement learning

Example prompts

  • “/linkedin-content-generator”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Set Up Your Niche (One-Time)
  2. Generate Content
  3. Save What Works

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 7 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • python
    • claude

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • linkedin.com
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkedin Content Generator loads about 4.7k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 1,782 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,782 words, ~4,651 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-content-generator/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
linkedin-content-generator
description
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.
category
marketing
risk
safe
source
community
source_repo
sarveshtalele/linkedin-content-skill
source_type
community
date_added
2026-06-04
author
sarveshkishortalele
tags
linkedin, content-creation, social-media, marketing, newsletter, carousel, content-calendar, reinforcement-learning, seo, copywriting
tools
claude
license
MIT

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:

CommandPurpose
/generate-postSingle ready-to-publish LinkedIn post
/generate-carouselNumbered slide content + caption
/generate-newsletterLong-form newsletter edition
/generate-calendar30-day posting calendar with Markdown table
/show-memoryDisplay current preferences and feedback log
/feedbackSave what worked for future outputs
/clear-memoryReset 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 Agentic Awesome Skills library:

bash
# 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:

markdown
## 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:

ParameterDefaultOptions
topicrequiredany subject
niche"AI & Technology"any industry
toneprofessionalprofessional · storytelling · controversial · educational · motivational
stylelist-basedlist-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)

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:

ParameterDefaultOptions
topicrequiredany subject
niche"AI & Technology"any industry
slides73–12
stylelisticlehow-to · listicle · myth-busting · framework · story-arc

Style guide:

StyleStructure
how-toSlide 1 = problem → slides 2–N = steps → last = result / CTA
listicleEach slide = one item with bold title + 1–2 sentence explanation
myth-bustingEach slide = MYTH: [belief] → TRUTH: [reality]
frameworkIntroduce a proprietary framework; each slide = one component
story-arcSlide 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:

ParameterDefaultOptions
topicrequiredany subject
niche"AI & Technology"any industry
lengthmediumshort (~700 w) · medium (~1,200 w) · long (~2,000 w)
titleauto-generatedoptional 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:

ParameterDefaultOptions
nicherequiredany industry
days30any positive integer
frequency"3 times a week"any posting cadence
goalgrowthawareness · engagement · leads · authority · growth

Goal guide:

GoalStrategy
awarenessShareable, relatable, trending; heavy on carousels and contrarian takes
engagementOpinion posts, polls, questions, storytelling to maximise comments
leadsEducational value posts + authority-building + clear DM CTAs
authorityDeep insights, data-backed posts, thought leadership, newsletters
growthMix 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

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:

/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.
Show full SKILL.md (678 more words)Show less

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:

bash
# 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
<!-- security-allowlist: approved — all commands are local Python script invocations with no network access, no credential handling, and writes scoped to the skill's own bundled scripts/memory.md only -->

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.

  • @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.

Additional Resources

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts) in skills/linkedin-content-generator of sickn33/agentic-awesome-skills.

  • SKILL.md
  • 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

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Linkedin Content Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkedin Content Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Content Generator this skillsickn33/agentic-awesome-skills47k1 repos~4.7kAutomated safety check: PassMIT
Changelog Social RecapFlorianBruniaux/claude-code-ultimate-guide6.1k—~1.8kAutomated safety check: NotesCC-BY-SA-4.0
Content Trend Researcheralirezarezvani/claude-code-skill-factory8802 repos~2.1kAutomated safety check: PassMIT
Content Writer Agentmastra-ai/mastra29k—~1.3kAutomated safety check: PassCustom licence
ShareSerhiiKorniienko/bullshit-detector154—~857Automated safety check: PassMIT
Idea Extractoraiskilloftheweek/claude-ai-skill-of-the-week146—~1.5kAutomated safety check: PassNone

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Works with

Questions about Linkedin Content Generator

What does Linkedin Content Generator 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. Linkedin Content Generator is an agent skill from sickn33/agentic-awesome-skills. 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.

When should I use Linkedin Content Generator?

Linkedin Content Generator fits situations like: tasks that involve Newsletters; tasks that involve Reinforcement learning.

How do I install Linkedin Content Generator in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a claude-code`. Or copy the skill folder (skills/linkedin-content-generator in sickn33/agentic-awesome-skills) into .claude/skills/linkedin-content-generator in your project. Claude Code loads it when a task matches its description.

How do I install Linkedin Content Generator in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a codex`. Or copy the skill folder (skills/linkedin-content-generator in sickn33/agentic-awesome-skills) into .agents/skills/linkedin-content-generator in your project. Codex loads it when a task matches its description.

Can I use Linkedin Content Generator in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-content-generator, .gemini/skills/linkedin-content-generator, .github/skills/linkedin-content-generator and .opencode/skills/linkedin-content-generator in your project.

What does Linkedin Content Generator need to run?

Going by SKILL.md and its folder, Linkedin Content Generator needs Python for the scripts in its folder and the command-line tools its instructions call (python3, python and claude). Our summary lists: Python 3.

Does Linkedin Content Generator access the network?

SKILL.md names 2 domains. As links in the text: linkedin.com and github.com. This is read from the text; nothing was executed.

Is Linkedin Content Generator safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Linkedin Content Generator use?

Linkedin Content Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkedin Content Generator use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Linkedin Content Generator?

Skills that share tags, products or a category with Linkedin Content Generator: Changelog Social Recap (FlorianBruniaux/claude-code-ultimate-guide, 6.1k stars), Content Trend Researcher (alirezarezvani/claude-code-skill-factory, 880 stars), Content Writer Agent (mastra-ai/mastra, 29k stars) and Share (SerhiiKorniienko/bullshit-detector, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Content Generator?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.