Agent skill

linkedin_post

Use when you need to create a LinkedIn post from a milestone, achievement, or topic. Produces authentic, story-driven posts with proper formatting (line breaks, hooks, CTAs).

Hogan17★ · 1 repos on radarProfile →
claude-codecursorApache-2.0
Install
npx skills add hogan-tech/brand-loom --skill linkedin-post --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.2.0
Requires: Claude Code, Cursor, OpenClaw, or standalone via pip install brand-loom
Path: skills/linkedin-post/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 17
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LinkedIn Post Generator Generate engaging LinkedIn posts from milestones, achievements, or topics. Story-driven, authentic, and formatted for LinkedIn's algorithm preferences. ## Quick start - CLI: `brand-loom run linkedin_post --text "Just hit 10k users with zero paid ads"` - Python API: `run_skill("linkedin_post", "raised Series A", post_type="text")` ## Post types - `text` — standard LinkedIn post (default) - `article` — longer form LinkedIn article intro - `carousel` — carousel slide copy (headlines + body per slide) > **Auto-scheduling, analytics tracking, and 6-metric quality scoring** live in hosted **[Neoxra](https://neoxra.com)**.

What's inside
Steps it walks through
  1. Quick start
  2. Post types
More from brand-loom
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About this skill
What does the linkedin_post skill do?

Use when you need to create a LinkedIn post from a milestone, achievement, or topic. Produces authentic, story-driven posts with proper formatting (line breaks, hooks, CTAs).

How do I install it?

Run `npx skills add hogan-tech/brand-loom --skill linkedin-post --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From hogan-tech/brand-loom, a repository with 17 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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