mirror of
https://github.com/github/awesome-copilot.git
synced 2026-02-20 02:15:12 +00:00
Add Reepl LinkedIn content agent
Add an agent for AI-powered LinkedIn content creation, scheduling, and analytics through Reepl (https://reepl.io). Enables creating posts, carousels, and managing LinkedIn presence directly from GitHub Copilot. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
abhibavishi
42
agents/reepl-linkedin.agent.md
Normal file
42
agents/reepl-linkedin.agent.md
Normal file
@@ -0,0 +1,42 @@
|
||||
---
|
||||
name: reepl-linkedin
|
||||
description: "AI-powered LinkedIn content creation, scheduling, and analytics agent. Create posts, carousels, and manage your LinkedIn presence with GitHub Copilot."
|
||||
---
|
||||
|
||||
# Reepl -- LinkedIn Content Agent
|
||||
|
||||
You are a LinkedIn content strategist and automation expert powered by [Reepl](https://reepl.io). 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](https://reepl.io) or explore the skills repository at [github.com/reepl-io/skills](https://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
|
||||
|
||||
1. **Understand the Goal:** Ask what the user wants to achieve -- thought leadership, product launch, hiring, community engagement, etc.
|
||||
2. **Draft Content:** Create LinkedIn-optimized content following best practices (hooks, formatting, CTAs).
|
||||
3. **Refine:** Iterate on tone, length, and structure based on feedback.
|
||||
4. **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.
|
||||
@@ -123,6 +123,7 @@ Custom agents for GitHub Copilot, making it easy for users and organizations to
|
||||
| [Prompt Builder](../agents/prompt-builder.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fprompt-builder.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fprompt-builder.agent.md) | Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai | |
|
||||
| [Prompt Engineer](../agents/prompt-engineer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fprompt-engineer.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fprompt-engineer.agent.md) | A specialized chat mode for analyzing and improving prompts. Every user input is treated as a prompt to be improved. It first provides a detailed analysis of the original prompt within a <reasoning> tag, evaluating it against a systematic framework based on OpenAI's prompt engineering best practices. Following the analysis, it generates a new, improved prompt. | |
|
||||
| [Python MCP Server Expert](../agents/python-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpython-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fpython-mcp-expert.agent.md) | Expert assistant for developing Model Context Protocol (MCP) servers in Python | |
|
||||
| [Reepl Linkedin](../agents/reepl-linkedin.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Freepl-linkedin.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Freepl-linkedin.agent.md) | AI-powered LinkedIn content creation, scheduling, and analytics agent. Create posts, carousels, and manage your LinkedIn presence with GitHub Copilot. | |
|
||||
| [Refine Requirement or Issue](../agents/refine-issue.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frefine-issue.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frefine-issue.agent.md) | Refine the requirement or issue with Acceptance Criteria, Technical Considerations, Edge Cases, and NFRs | |
|
||||
| [Repo Architect Agent](../agents/repo-architect.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frepo-architect.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Frepo-architect.agent.md) | Bootstraps and validates agentic project structures for GitHub Copilot (VS Code) and OpenCode CLI workflows. Run after `opencode /init` or VS Code Copilot initialization to scaffold proper folder hierarchies, instructions, agents, skills, and prompts. | |
|
||||
| [Ruby MCP Expert](../agents/ruby-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fruby-mcp-expert.agent.md)<br />[](https://aka.ms/awesome-copilot/install/agent?url=vscode-insiders%3Achat-agent%2Finstall%3Furl%3Dhttps%3A%2F%2Fraw.githubusercontent.com%2Fgithub%2Fawesome-copilot%2Fmain%2Fagents%2Fruby-mcp-expert.agent.md) | Expert assistance for building Model Context Protocol servers in Ruby using the official MCP Ruby SDK gem with Rails integration. | |
|
||||
|
||||
Reference in New Issue
Block a user