Changelog Social Recap
FlorianBruniaux/claude-code-ultimate-guide
Turns CHANGELOG.md entries for a release or a week into LinkedIn, Twitter/X, newsletter and Slack posts in French and English.
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.
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-content-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "linkedin-content-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-content-generator into .claude/skills/linkedin-content-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-content-generator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-content-generatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-content-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/linkedin-content-generator .agents/skills/linkedin-content-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-content-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-content-generator into .agents/skills/linkedin-content-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-content-generator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-content-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/linkedin-content-generator .cursor/skills/linkedin-content-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkedin-content-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-content-generator into .cursor/skills/linkedin-content-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-content-generator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/linkedin-content-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-content-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/linkedin-content-generator .gemini/skills/linkedin-content-generator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkedin-content-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-content-generator into .gemini/skills/linkedin-content-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-content-generator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills linkedin-content-generatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/linkedin-content-generator .github/skills/linkedin-content-generator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-content-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-content-generator into .github/skills/linkedin-content-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-content-generator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-content-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills linkedin-content-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/linkedin-content-generator .opencode/skills/linkedin-content-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-content-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/linkedin-content-generator into .opencode/skills/linkedin-content-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-content-generator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
linkedin-content-generatorAI-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.
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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.
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.
Ships 7 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pythonclaudeFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
linkedin.comgithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,782 words, ~4,651 tokens.
.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.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.
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:
# 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.
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)Open ~/.claude/skills/linkedin-content-generator/scripts/memory.md and update the
Primary Niche field:
## Core Identity & Tone
- **Primary Niche:** AI & Technology ← change thisThis field is injected into every prompt. Without it, the skill defaults to
"AI & Technology".
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.
After each output, save successful patterns with /feedback:
/feedback the storytelling hook in this post got 3x more comments than usualThe feedback is appended to memory.md and automatically injected into all future
generation prompts.
/generate-post — Single LinkedIn PostGenerates 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-basedOutput structure:
/generate-carousel — LinkedIn CarouselGenerates 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: frameworkOutput: Slides numbered 1 through N, followed by a LinkedIn caption with hook,
teaser context, "Swipe →" prompt, and hashtags.
/generate-newsletter — LinkedIn Newsletter EditionGenerates 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:
/generate-calendar — 30-Day Content CalendarGenerates 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: leadsOutput: Markdown table (# | Day | Format | Topic / Angle | Hook | CTA) + monthly theme +
top 5 SEO keywords + format breakdown summary.
/show-memory — Display PreferencesDisplays current memory contents: niche, tone, style, and all saved feedback entries.
Usage:
/show-memoryOutput: Full memory.md content with entry count, primary niche, and tone summary.
/feedback — Save Successful PatternsAppends 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 MemoryResets memory.md to factory defaults. The command asks for confirmation before
executing.
Usage:
/clear-memoryThe 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.
"In today's...", "I am excited to...", "Happy to share...",
"Thrilled to announce...".#AI, #Marketing, #Leadership).#AIAgents, #ContentMarketing, #StartupLife).#LinkedInTips, #PersonalBranding).Primary Niche in memory.md before generating any content./feedback after any post that performs well — the memory compounds over time./generate-calendar first when planning a content sprint; it provides topics
for /generate-post and /generate-carousel runs.controversial tone on topics where you have a genuine, defensible stance;
avoid it for topics where nuance is more valuable than edge./feedback loop — without it, every output starts from generic
LinkedIn best practices rather than your specific audience data.data-driven style without real statistics to cite; fabricated
numbers destroy credibility faster than any other LinkedIn mistake.goal; the default growth
goal mixes formats broadly and may not match a specific campaign objective.memory.md.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.python3 is unavailable or Bash tool
calls are blocked.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.
~/.claude/skills/linkedin-content-generator/scripts/ are modified.clear command in memory_manager.py overwrites only the bundled memory.md;
it does not delete any other files.--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<!-- 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 -->
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.© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts) in skills/linkedin-content-generator of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit ec02547
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkedin Content Generator this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~4.7k | Automated safety check: Pass | MIT | |
| Changelog Social RecapFlorianBruniaux/claude-code-ultimate-guide | 6.1k | — | ~1.8k | Automated safety check: Notes | CC-BY-SA-4.0 | |
| Content Trend Researcheralirezarezvani/claude-code-skill-factory | 880 | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Content Writer Agentmastra-ai/mastra | 29k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| ShareSerhiiKorniienko/bullshit-detector | 154 | — | ~857 | Automated safety check: Pass | MIT | |
| Idea Extractoraiskilloftheweek/claude-ai-skill-of-the-week | 146 | — | ~1.5k | Automated safety check: Pass | None |
FlorianBruniaux/claude-code-ultimate-guide
Turns CHANGELOG.md entries for a release or a week into LinkedIn, Twitter/X, newsletter and Slack posts in French and English.
alirezarezvani/claude-code-skill-factory
Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn, X, blogs, podcasts, and YouTube to generate data-driven…
mastra-ai/mastra
Authoring playbook for building agents that draft written content — blog posts, marketing copy, social media posts, newsletters, product descriptions, landing pages, or ad copy.
SerhiiKorniienko/bullshit-detector
Turn a BS report (or any analysis result) into ready-to-paste posts for X/Twitter, LinkedIn, Facebook, Reddit, Hacker News, or a newsletter issue — plus a branded image carousel (PNGs + PDF) for…
aiskilloftheweek/claude-ai-skill-of-the-week
Analyzes long-form content (transcripts, articles, interviews, webinars, podcast notes) and extracts the 3 best content ideas for any publishing platform — LinkedIn, Substack, blog, newsletter…
blacktwist/social-media-skills
When the user wants to turn one piece of content into multiple formats or adapt content across text-first and visual-first platforms (LinkedIn, Twitter/X, Threads, Bluesky, Facebook, Instagram…
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Works with
Categories
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.
Linkedin Content Generator fits situations like: tasks that involve Newsletters; tasks that involve Reinforcement learning.
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.
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.
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.
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.
SKILL.md names 2 domains. As links in the text: linkedin.com and github.com. This is read from the text; nothing was executed.
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.
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.
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.
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.
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.