writing-linkedin-posts

writing-linkedin-posts is a skill for Claude Code from buildfastwithai/gen-ai-experiments. It costs 75 tokens per session (2,311 once invoked), scanned A, original, MIT.

A writing guide for creating LinkedIn posts about professional work, ideas, or experiences. LinkedIn is a social network focused on careers and business.

In plain words
What is it for?
Use it to draft thought-leadership posts, share work lessons, explain professional insights, and plan a consistent LinkedIn voice.
Why use it?
It helps turn a single useful idea or real experience into a clear post without relying on exaggerated claims or engagement bait.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the launch-mcp plugin — 4 skills, 1 MCP server shipped together

Good fit Use it to draft thought-leadership posts, share work lessons, explain professional insights, and plan a consistent LinkedIn voice.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/buildfastwithai/gen-ai-experiments/writing-linkedin-posts
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add buildfastwithai/gen-ai-experiments --skill writing-linkedin-posts
Clone the repo
git clone --depth 1 https://github.com/buildfastwithai/gen-ai-experiments

Made for: Claude Code.

Or install launch-mcp, the plugin that ships this one along with the rest of its 4 skills, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for writing-linkedin-posts

README.md
[![agentmods](https://agentmods.dev/badge/skills/buildfastwithai/gen-ai-experiments/writing-linkedin-posts/github.svg)](https://agentmods.dev/skills/buildfastwithai/gen-ai-experiments/writing-linkedin-posts)
Your own site
<a href="https://agentmods.dev/skills/buildfastwithai/gen-ai-experiments/writing-linkedin-posts"><img src="https://agentmods.dev/badge/skills/buildfastwithai/gen-ai-experiments/writing-linkedin-posts/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for writing-linkedin-posts

Your own site · 80×15
<a href="https://agentmods.dev/skills/buildfastwithai/gen-ai-experiments/writing-linkedin-posts"><img src="https://agentmods.dev/badge/skills/buildfastwithai/gen-ai-experiments/writing-linkedin-posts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,311 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.02311
Opus 5 $0.00037 $0.01156
Sonnet 5 $0.00015 $0.00462
Haiku 4.5 $0.00007 $0.00231

Measured 10d ago against content hash 3eedebfa9244, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

writing-linkedin-posts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

mcp/servers/launch-mcp/skills/writing-linkedin-posts/SKILL.md · 349 lines

How it starts

The opening of the file, as written. The whole thing — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Post Writer

Create engaging, authentic LinkedIn posts that drive meaningful engagement and establish thought leadership.

Core Principles

Authenticity Over Performance

LinkedIn has matured. Readers can spot manufactured vulnerability and engagement bait instantly. The posts that resonate now are genuinely useful or genuinely human—not optimized for virality.

What works:

  • Real experiences with honest reflection
  • Specific insights from your actual work
  • Admitting what you don't know
  • Sharing without needing validation

What doesn't:

  • Performed vulnerability for engagement
  • Stories that feel too perfectly structured
  • Lessons that sound like motivational posters

One Idea Per Post

The biggest mistake is cramming multiple tips, stories, or angles into one post. Focus on:

  • One core idea
  • One story
  • One insight
  • One lesson

If you have five points, that's five posts.

Value Without Strings

Every post must educate, inspire, or entertain. Ask: "Would I find this valuable if a stranger posted it?" Not "Will this get engagement?"

Building Your Signature Voice

Top Voices don't just post well—they're recognizable. Their perspective, style, and focus areas are consistent.

Define Your POV

Answer these before writing:

  • What topic do I have genuine expertise in?
  • What's my contrarian belief in my industry?
  • What perspective do I bring that others don't?
  • What would I want to be known for saying?

Consistency Markers

Develop 2-3 recognizable elements:

  • A recurring theme or topic area
  • A consistent tone (analytical, warm, direct, witty)
  • A signature format you're known for
  • Phrases or frameworks you've coined

Voice Calibration

Your LinkedIn voice should be:

  • More polished than a text to a friend
  • Less formal than a company memo
  • As smart as your best work conversations
  • As human as your real personality

Post Anatomy

The Hook (Lines 1-2)

The first 2-3 lines appear before "See more" and determine everything.

Read the full file on GitHub · 349 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 349 lines · 75 tokens per session scan A 3eedebfa9244

Subscribe to this mod's changes

writing-linkedin-posts is a skill published in the GitHub repository buildfastwithai/gen-ai-experiments (763 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 2,311 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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