linkedin-algorithm SKILL.md skillA

linkedin-algorithm from leadmagic/gtm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add leadmagic/gtm-skills/linkedin-algorithm@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
leadmagic/gtm-skills
Path
skills/inbound/linkedin-algorithm/SKILL.md
Versions recorded
6
Latest version
v1.0.0, committed Oct 1, 2026
First version recorded
Jun 10, 2026
Size
9,461 bytes
Repository stars
76
License
MIT

Optimize LinkedIn organic reach using Richard van der Blom's Algorithm Insights Report (Just Connecting) — interest graph mechanics, format rankings, post anatomy, dwell time, golden hour engagement, and company page strategy. Use when posts are underperforming, planning LinkedIn content formats, or diagnosing reach drops. Triggers on: "LinkedIn algorithm", "LinkedIn reach", "post not getting impressions", "best time to post LinkedIn", "LinkedIn format", "carousel vs video…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# LinkedIn Algorithm Optimization

## Overview

Most LinkedIn underperformance is not a content-quality problem — it's a
mechanics problem. Creators post the right message in the wrong format, kill
reach with external links and hashtag habits from 2021, and misread a
platform-wide reach compression as a personal failure.

This skill applies Richard van der Blom's Algorithm Insights Report — the
largest recurring public study of LinkedIn organic performance (the 2026
edition analyzed 1.3M+ posts and 80,000+ profiles) — to diagnose reach
problems and design posts that work with the algorithm instead of against it.

## When to Use

- "My LinkedIn reach dropped — what changed?"
- "What format should I use for this post?"
- "Best time and frequency to post on LinkedIn"
- "Should I still use hashtags?"
- "Why does my video underperform?"
- "Optimize our company page reach"
- "Build a LinkedIn posting system that the algorithm rewards"

## Authoritative Foundations

**Richard van der Blom (Just Connecting) — Algorithm Insights Report.** Annual
data study of LinkedIn organic mechanics, 7th edition (2026). Core structural
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add leadmagic/gtm-skills/linkedin-algorithm@sha256:08bac55f38776412

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rjcmrzan2yohqx7i.svg)](https://markdownregistry.com/a/art_rjcmrzan2yohqx7i)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Jun 10, 2026 and Oct 1, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-01 ca0d2ec 9,461 BA view · diff
v1.0.02026-09-02 a19750a 9,539 BA view · diff
v1.0.02026-06-10 e030e67 9,533 BA view · diff
v1.0.02026-06-10 17b6e1f 9,457 BA view · diff
v1.0.02026-06-10 86dec0f 9,458 BA view · diff
v1.0.02026-06-10 9f00d65 8,775 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (9461 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

leadmagic/gtm-skills · 76 stars · license MIT · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rjcmrzan2yohqx7i
GET https://markdownregistry.com/api/v1/resolve?ref=leadmagic/gtm-skills/linkedin-algorithm
GET https://markdownregistry.com/api/v1/blob/08bac55f38776412bdd4980ec4ec9e5224252bcb32f007256423a4d33e53a8a8

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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