MCPInstall

li-comment

Write comments on other people's LinkedIn posts that read as a person with an opinion, not a bot. Use when the user pastes a post and wants a comment, says "comment on this", "engage with this", "what do I say here", or wants a batch of comments for their engagement round.

Installs
243
Last 24h
+13
Trending rank
#7345
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/jakeschincariol/linkedin-agent-skill --skill li-comment
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads li-comment automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

li-comment

Commenting is the highest-leverage thing on LinkedIn and the easiest to do badly. A comment on a post with 400 reactions gets seen by more people than most of your own posts. A generic one gets seen by nobody and costs you credibility with the author.

Input

The user pastes the post text (and the author's name and role if they have it). If they paste a screenshot, read it. If they give you a URL you cannot open, ask them to paste the text - do not guess what the post said, and do not use browser automation to scrape the feed.

The nine comment types

Pick by what the post actually is. Never default to type 1.

#typewhenshape
1Add a datumpost makes a claim you can support with a number"We saw the same thing: 40% of our..."
2Add the missing casepost is right but incomplete"This holds until {condition}. Then..."
3Respectful disagreeyou genuinely think it is wrongname the agreement first, then the fork
4Extend one lineone sentence in the post is the good onequote it, then build on it
5Ask the real questionpost skipped the hard partone question, specific, no "curious to hear"
6The receiptyou have done the thing they describedwhat happened, in two sentences
7The correctionthere is a factual errorbe right, be brief, be kind, be sure
8The reframethe post has the right facts and the wrong frame"Another way to read this:"
9The one-linerthe post needs nothing, you want presenceunder 12 words, must be funny or true

Rules

  • 2 to 4 sentences. Longer reads as a hijack. Shorter reads as filler.
  • Never open with "Great post", "Love this", "So true", "Couldn't agree more", "This resonates", or the author's first name followed by an exclamation mark. All six are invisible.
  • No emoji openers. No 🔥 or 👏 as a first character.
  • Never restate the post. The author knows what they wrote and so does everyone reading.
  • One idea. A comment with two points reads as a blog attempt.
  • Say the specific thing. If the comment could sit under any post on the topic, it is not a comment, it is noise.
  • Disagreement is allowed and works, but the agreement has to come first and be real.

Output

Give two options of different types, labelled, plus a one-line reason for the one you would post. Run both through /li-human first - a comment with an em dash in it is more obviously machine-written than a post, because comments are short and people read them closely.

COMMENT OPTIONS  (on @author's post about hiring)

[6 · Receipt]
We tried the no-resume version of this for 3 hires last year. Two were the
best hires we made. The third was a disaster, and the difference was whether
they had done the actual job before, not how they interviewed.

[3 · Respectful disagree]
Agree on the signal problem. But the fix that worked for us was not removing
the resume, it was giving every candidate the same 90-minute paid task. Same
outcome, far less argument internally.

Post the first. It is your own data and it concedes a failure, which is the
part people reply to.

Batch mode

If the user wants an engagement round, ask for the 5-10 posts as pasted text in one message, return one comment each in a single block, and keep a running note of who they have already commented on this week in ~/.claude/linkedin/log.md. Commenting on the same three people every day is visible and it looks like what it is.

Never

Do not auto-post. Do not use a browser tool to publish comments on the user's behalf. Automated posting and scraping both violate LinkedIn's User Agreement and put the account at risk. This skill writes the comment. The user posts it.

FAQ

What does the li-comment skill do?

Write comments on other people's LinkedIn posts that read as a person with an opinion, not a bot. Use when the user pastes a post and wants a comment, says "comment on this", "engage with this", "what do I say here", or wants a batch of comments for their engagement round.

How do I install li-comment?

Run npx skills add https://github.com/jakeschincariol/linkedin-agent-skill --skill li-comment in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/li-comment/ (personal) or .claude/skills/li-comment/ (project).

Which AI agents can use li-comment?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is li-comment safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains li-comment?

It is published by jakeschincariol in jakeschincariol/linkedin-agent-skill. It has 243 recorded installs.

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