linkedin-reply-handler

Parse LinkedIn comment URLs and draft replies for posting.

520|82|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/sergebulaev/linkedin-skills --skill linkedin-reply-handler
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-reply-handler
Source: https://github.com/sergebulaev/linkedin-skills/tree/main/.codex-marketplace/linkedin-skills/skills/linkedin-reply-handler
Command: npx skills add https://github.com/sergebulaev/linkedin-skills --skill linkedin-reply-handler

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lib.url_parser, lib.ApifyClient, lib.publora_client, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of crafting and posting LinkedIn replies, making it efficient and effective to engage with comments on your posts.

Core Features & Use Cases

  • Automated Reply Creation: Generate reply drafts based on the context of a LinkedIn comment or thread.
  • Reaction Suggestions: Offers suggestions for reactions to the comment you're replying to.
  • Thread Context Summary: Provides a summary of the conversation to ensure relevance in your reply.
  • Approval before Posting: Allows manual approval before the AI posts the reply to LinkedIn.
  • Use Case: When you want to reply to a comment on your LinkedIn post and want to ensure the response is appropriate and engaging.

Quick Start

Ask the AI to reply to the comment with the following URL: [Comment URL].

Frequently Asked Questions about linkedin-reply-handler

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate LinkedIn replies to comments on my posts?

Automate LinkedIn replies by parsing specific comment URLs to generate contextual drafts. The system analyzes the thread conversation and suggests reactions, requiring manual approval before posting the reply via the Publora API.

How does comment threading work when automating LinkedIn social media engagement?

LinkedIn reply automation operates within the platform's 2-level comment threading model. The parser analyzes the URL and thread structure to interpret the exact conversation level before drafting a relevant response.

Can I review AI generated replies before they are posted to LinkedIn?

You can review AI generated LinkedIn replies before posting. The workflow requires manual approval before the system uses the Publora API to publish the drafted response, ensuring appropriate engagement.

Do I need a specific API to post automated replies on LinkedIn?

Posting automated LinkedIn replies requires the Publora API. The workflow depends on this client alongside URL parsing libraries to analyze the comment thread and publish the approved response.

What is the best way to handle context when replying to LinkedIn comments?

The best way to handle LinkedIn comment context is using a thread summary tool. It interprets the 2-level comment threading model from the URL to ensure your automated reply matches the ongoing conversation.