linkedin-post SKILL.md skillA

linkedin-post from langchain-ai/langgraph-101 is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add langchain-ai/langgraph-101/linkedin-post@git:20260217.63dcabe

Pins git:20260217.63dcabe in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
langchain-ai/langgraph-101
Path
agents/deep_agent/skills/linkedin-post/SKILL.md
Versions recorded
1
Latest version
git:20260217.63dcabe, committed Feb 17, 2026
Size
1,968 bytes
Repository stars
707
License
MIT

Write a LinkedIn post based on research findings or a given topic. Use this skill when asked to create LinkedIn content, professional posts, or thought leadership pieces.

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 Post Skill

## Format

- **Hook**: Start with a bold opening line that grabs attention (this appears before the "see more" cut)
- **Body**: 3-5 short paragraphs, each 1-2 sentences
- Use line breaks between paragraphs for readability
- Include 1-2 relevant emojis per paragraph (don't overdo it)
- End with a call-to-action or question to drive engagement
- Add 3-5 relevant hashtags at the bottom

## Tone

- Professional but conversational
- Share insights, not just information
- Use "I" statements and personal perspective where appropriate
- Avoid jargon unless the audience expects it

## Length

- Ideal: 150-300 words
- LinkedIn truncates after ~210 characters, so the first line must hook the reader

## Template

```
[Bold hook / surprising stat / question]

[Context -- why this matters]

[Key insight 1]

[Key insight 2]

[Key insight 3 or personal takeaway]

[Call to action / question for engagement]

#hashtag1 #hashtag2 #hashtag3
```

## Example

```
Most AI agents fail not because of the model -- but because of context management.

After researching the latest agent frameworks, one pattern keeps emerging:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add langchain-ai/langgraph-101/linkedin-post@sha256:1be26ac4a52ad8d3

The line at the top of this page pins the label git:20260217.63dcabe, 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_jwzuska4yw5gftay.svg)](https://markdownregistry.com/a/art_jwzuska4yw5gftay)

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

Versions

The registry has recorded 1 version of this file, committed on Feb 17, 2026.

versioncommittedcommitsizeaudit
git:20260217.63dcabe latest2026-02-17 63dcabe 1,968 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 (1968 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

langchain-ai/langgraph-101 · 707 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jwzuska4yw5gftay
GET https://markdownregistry.com/api/v1/resolve?ref=langchain-ai/langgraph-101/linkedin-post
GET https://markdownregistry.com/api/v1/blob/1be26ac4a52ad8d3b94541cd5480f6ea9f254a44ec6c189d6a2467df7871ee07

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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