# LinkedIn Comment Drafter

Drafts LinkedIn comment and repost variants in the user's voice for approval.

- Repository: https://github.com/sergebulaev/linkedin-skills (5474 stars)
- Category: Marketing
- License: MIT
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add sergebulaev/linkedin-skills --skill linkedin-comment-drafter -g -a claude-code -y`
Codex: `npx skills add sergebulaev/linkedin-skills --skill linkedin-comment-drafter -g -a codex -y`
Cursor: `npx skills add sergebulaev/linkedin-skills --skill linkedin-comment-drafter -g -a cursor -y`
Gemini CLI: `npx skills add sergebulaev/linkedin-skills --skill linkedin-comment-drafter -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add sergebulaev/linkedin-skills`

## Description

Draft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL and asks to comment, engage, be first commenter, or repost with their thoughts. Produces 1-3 variants in the user's voice, picks a reaction, and publishes via Publora on approval. Not for replying to existing comments (use linkedin-reply-handler).

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# LinkedIn Comment Drafter

Produce conversation-provoking comments on any LinkedIn post from a URL. The skill targets the patterns that actually got author replies in 2026 testing and avoids the thesis-restatement patterns that die with zero engagement.

## When to use

- User pastes a LinkedIn post URL and says "comment on this", "draft me a comment", "engage with this post"
- User wants to be among the first 3 commenters on a viral post
- User wants to reply to a closing question the author asked
- User wants to **reshare/repost** a post to their own feed, with or without a one-line take ("repost this with my thoughts", "reshare this")

## Input

A LinkedIn post URL in any of the standard shapes (see the top-level `SKILL.md` URL table).

## Output

1-3 draft comment variants, each with:
- 200-350 char body, 1-2 short paragraphs, em dashes capped (about one per 100 words), no hashtags
- Assigned reaction type: `LIKE`, `PRAISE`, `EMPATHY`, `INTEREST`, `APPRECIATION`, or `ENTERTAINMENT`
- Pattern label (which of the 7 templates was used)
- Estimated engagement fit based on what the author typically responds to

Then waits for user approval. On "post", calls Publora to react + comment.

## Steps

**Voice profile first (all drafts).** If `../../references/voice-profile.md` has `filled: yes`, load it and match the user's voice fingerprint, hard rules, and CTA/link style throughout. If it is not filled, mention once that `linkedin-humanizer --mode profile` can learn their voice from a few posts, then proceed with the generic voice rules. If `../../references/story-bank.md` has `filled: yes`, load it too and take concrete details (numbers, dates, named projects) from there instead of asking mid-draft. Never invent a figure that is not in it; if the bank has nothing that fits, ask the user or offer `linkedin-interviewer`.

The rest: https://github.com/sergebulaev/linkedin-skills/blob/HEAD/.codex-marketplace/linkedin-skills/skills/linkedin-comment-drafter/SKILL.md