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Li Comment

CommunityPopular
Jakeschincariol
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.

Overview

PublisherJakeschincariol
Repositorylinkedin-agent-skill
Skill nameli-comment
Stars
1.3K
Forks
192
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Jakeschincariol on GitHub. Read the source before you install it.

Installation

Install the Li Comment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-comment
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jakeschincariol/linkedin-agent-skill.git /tmp/linkedin-agent-skill
mkdir -p .claude/skills
cp -r /tmp/linkedin-agent-skill/skills/li-comment .claude/skills/li-comment
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Li Comment in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Li Comment on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Li Comment is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Frequently asked questions

What does the Li Comment AI 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.

Why use Li Comment on TypingMind?

Because you install it once and use it with any model. Li Comment is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Li Comment in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jakeschincariol/linkedin-agent-skill/tree/main/skills/li-comment. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Li Comment?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Li Comment?

As many as you like. As long as a model supports skills, you can use Li Comment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Li Comment AI skill free?

Yes. It is published on GitHub by Jakeschincariol under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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