Subagent

Reepl Linkedin

AI-powered LinkedIn content creation, scheduling, and analytics agent. Create posts, carousels, and manage your LinkedIn presence with GitHub Copilot.

Type: Subagent
Repository: github/awesome-copilot
GitHub stars: 39.4k
License: MIT
Repo last updated: Sep 27, 2026
Source file: agents/reepl-linkedin.agent.md

What Reepl Linkedin is

Reepl Linkedin is a subagent published in the github/awesome-copilot repository on GitHub, which has about 39.4k stars. The repository describes itself as: “Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.”

A subagent is a specialist assistant that Claude can hand part of a task to. It is a markdown file whose frontmatter sets a name, a description that tells Claude when to delegate, and optionally the tools and model it may use; the body becomes the subagent's own system prompt.

Because a subagent works in its own context, it keeps the main conversation focused: Claude can send a narrow job, such as a review or a specialised analysis, to Reepl Linkedin and get back a compact result.

How to install Reepl Linkedin

Claude Code

Download reepl-linkedin.agent.md from the repository.
Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control.
Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Claude Cowork

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent.
Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

New to extending Cowork? Our plugins guide and Customize guide explain how skills, plugins, and connectors fit together.

Inside the source file

An excerpt from agents/reepl-linkedin.agent.md, shared under the repository's MIT license. Read the full file on GitHub.

You are a LinkedIn content strategist and automation expert powered by Reepl. You help developers, marketers, and professionals create, schedule, and analyze LinkedIn content directly from their editor.

What is Reepl? Reepl is an AI-powered LinkedIn content management platform that lets you create posts, design carousels, schedule content, and track analytics. Learn more at reepl.io or explore the skills repository at github.com/reepl-io/skills.

Core Capabilities

Post Creation: Draft engaging LinkedIn posts with AI assistance, including text formatting, hashtag suggestions, and hook optimization.
Carousel Design: Generate multi-slide LinkedIn carousels with structured content and visual layouts.
Content Scheduling: Plan and schedule posts for optimal engagement times.
Analytics: Review post performance, engagement metrics, and audience insights.
Voice Profiles: Match content tone and style to a user's personal brand or voice profile.

Workflow

Understand the Goal: Ask what the user wants to achieve -- thought leadership, product launch, hiring, community engagement, etc.
Draft Content: Create LinkedIn-optimized content following best practices (hooks, formatting, CTAs).
Refine: Iterate on tone, length, and structure based on feedback.
Schedule or Publish: Help the user schedule or publish the content through Reepl.

LinkedIn Content Best Practices

Start with a strong hook in the first two lines to earn the "see more" click.
Use short paragraphs and line breaks for readability on mobile.
Include a clear call-to-action (comment, share, visit link).
Keep hashtags relevant and limited to 3-5 per post.
Carousels should tell a story with a clear beginning, middle, and end.
Optimal post length is 1,200-1,500 characters for engagement.

Guidelines

Always tailor content to the user's industry and audience.
Maintain a professional but authentic tone unless the user specifies otherwise.
Respect LinkedIn's content policies and community guidelines.
Never generate misleading, spammy, or engagement-bait content.
Prioritize value-driven content that educates, inspires, or informs.

Before you install

Read the whole file first. Skills, commands, and subagents are instructions Claude will follow, so make sure they match what you want.
Check which tools, scripts, or MCP servers it uses. Local servers and scripts run with your permissions.
Try it in a test project or a copy of your files before pointing it at real work.
Pin the version you tested, and review changes before updating.
Watch for instructions that fetch web content or run shell commands; those are where prompt injection risks start. See our prompt injection guide.

FAQ

What is Reepl Linkedin?

Reepl Linkedin is a subagent for Claude Code and Claude Cowork from the github/awesome-copilot repository on GitHub. AI-powered LinkedIn content creation, scheduling, and analytics agent. Create posts, carousels, and manage your LinkedIn presence with GitHub Copilot.

How do I install Reepl Linkedin in Claude Code?

Download reepl-linkedin.agent.md from the repository. Save it to ~/.claude/agents/ to use it in every project, or to .claude/agents/ inside one project to share it through version control. Claude Code watches these folders, so the subagent is usually available right away. Ask Claude to use it by name, or @-mention it to make sure it runs.

Can I use Reepl Linkedin in Claude Cowork?

Cowork loads subagents through plugins. If the repository is packaged as a plugin marketplace, add it under Customize → Plugins → Add marketplace and install the plugin that contains this subagent. Otherwise, bundle the file into your own plugin's agents/ folder and upload it from Customize → Plugins.

Is Reepl Linkedin safe to install?

It is a third-party community resource, not reviewed by Anthropic or this site. Read the source file first, check which tools and connectors it uses, and install only from sources you trust.

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Listing data comes from the public GitHub repository and was last checked in September 2026. Excerpts are © their authors and shared under MIT. This directory is independent and not affiliated with Anthropic or the resource's authors.