linkedin-post-writer

linkedin-post-writer is a skill for Claude Code from TaplioOfficial/taplio-linkedin-claude-skills. It costs 92 tokens per session (1,549 once invoked), scanned A, original, MIT.

A writing aid that turns a raw idea, experience, opinion, or update into a ready-to-publish LinkedIn post. It chooses a suitable format and creates the opening, main text, and call to action in three versions.

In plain words
What is it for?
Use it to draft posts in storytelling, opinion, list, contrarian, or experience-recap formats for an audience such as founders, marketers, or developers.
Why use it?
It removes the blank-page problem and gives an unformed idea a clear structure. Multiple versions let the user choose the tone and approach that fit best.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code.

Part of the taplio-linkedin-skills plugin — 26 skills shipped together

Good fit Use it to draft posts in storytelling, opinion, list, contrarian, or experience-recap formats for an audience such as founders, marketers, or developers.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/taplioofficial/taplio-linkedin-claude-skills/linkedin-post-writer
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 TaplioOfficial/taplio-linkedin-claude-skills --skill linkedin-post-writer
Clone the repo
git clone --depth 1 https://github.com/TaplioOfficial/taplio-linkedin-claude-skills

Made for: Claude Code.

Or install taplio-linkedin-skills, the plugin that ships this one along with the rest of its 26 skills.

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 linkedin-post-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/taplioofficial/taplio-linkedin-claude-skills/linkedin-post-writer/github.svg)](https://agentmods.dev/skills/taplioofficial/taplio-linkedin-claude-skills/linkedin-post-writer)
Your own site
<a href="https://agentmods.dev/skills/taplioofficial/taplio-linkedin-claude-skills/linkedin-post-writer"><img src="https://agentmods.dev/badge/skills/taplioofficial/taplio-linkedin-claude-skills/linkedin-post-writer/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 linkedin-post-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/taplioofficial/taplio-linkedin-claude-skills/linkedin-post-writer"><img src="https://agentmods.dev/badge/skills/taplioofficial/taplio-linkedin-claude-skills/linkedin-post-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,549 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.
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 $0.00092 $0.01549
Opus 5 $0.00046 $0.00775
Sonnet 5 $0.00018 $0.00310
Haiku 4.5 $0.00009 $0.00155

Measured 12d ago against content hash 14492ff88350, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

linkedin-post-writer 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 12d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/linkedin-post-writer/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Post Writer

Turn a raw idea into a LinkedIn post that earns the scroll-stop and the comment.

When to trigger

The user gives you a topic, an idea, an experience, an opinion, a product update, a learning, or a story and wants it turned into a LinkedIn post. They might say "write me a post about X", "help me post this", "I want to share that I did Y", "turn this into a LinkedIn post".

Inputs to ask for (only if missing)

  1. The raw idea, story, or topic.
  2. The target audience (founders, marketers, devs, sales, etc.). If missing, infer from context or ask.
  3. The desired format. Default to "let me pick the best one for you" and propose:
    • Story : a personal anecdote with a turning point.
    • Opinion : a strong stance + reasoning.
    • Listicle : a numbered list of tips, mistakes, or lessons.
    • Contrarian : a take that challenges conventional wisdom.
    • Experience recap : "I tried X for Y days, here is what I learned".
  4. The CTA goal (comments, profile visits, DMs, link clicks). Default to "comments" since it boosts reach the most.

Process

  1. Choose the format that fits the raw input.
  2. Write the hook (first 2 lines, the only thing visible before "see more"). It must create curiosity, contradict an assumption, or promise a payoff.
  3. Write the body with short lines (max 8 words per line on average), white space, and one idea per line. No corporate filler.
  4. Write a CTA that fits the goal (a question for comments, a tag for shares, a link for clicks).
  5. Generate 3 variants of the post so the user can pick the strongest hook.
  6. Once the user picks a variant, render it directly in an editable block so they can tweak it in place (see "Editable block" below). Do this automatically, before saving it as a draft.

Output format

VARIANT 1 - [format name]

[hook line 1]
[hook line 2]

[body, 80 to 200 words, short lines]

[CTA]

---

VARIANT 2 - ...

VARIANT 3 - ...

After the variants, add a one-line recommendation: "I would ship Variant X because [reason]".

Read the full file on GitHub · 96 lines

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. 12d ago First seen · 96 lines · 92 tokens per session scan A 14492ff88350

Subscribe to this mod's changes

linkedin-post-writer is a skill published in the GitHub repository TaplioOfficial/taplio-linkedin-claude-skills (5 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 1,549 once invoked, about $0.0005 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 2026-08-31.

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