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Li Post

CommunityPopular
Jakeschincariol
li-post

Write a LinkedIn post from a raw idea using 21 proven hook formulas, in the user's own voice, humanized so it does not read as AI. Use whenever the user wants a LinkedIn post, a hook, a draft for the feed, "post about X", "turn this into a LinkedIn post", or asks for hook options. Produces three hook options, one full draft, and a copy-ready block that is never published without an explicit yes.

Overview

PublisherJakeschincariol
Repositorylinkedin-agent-skill
Skill nameli-post
Stars
1.3K
Forks
192
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Li Post 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-post
  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-post .claude/skills/li-post
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Li Post 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 Post 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 Post 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-post

Turns one raw idea into a LinkedIn post that sounds like the person who posted it.

Before you write

  1. Read ~/.claude/linkedin/voice.md if it exists. That file is the user's voice profile: how they talk, what they never say, who they are talking to. If it does not exist, ask for three of their own past posts, infer the voice from those, and write the file. Do not skip this and do not invent a voice. A post in the wrong voice is worse than no post.
  2. Read hooks.json in this folder. All 21 formulas, with templates, filled examples, what each is for, and how each one usually gets ruined.
  3. If the idea is thin - "post about AI" - do not pad it. Ask one batched question: what happened, to whom, and what did it cost or return. A post needs one specific true thing. Get it before writing.

The shape

LinkedIn rewards dwell time, saves and comments, in that order. So:

Line 1     the hook. Alone. It has to survive truncation at ~140 chars mobile.
Line 2     the payoff of line 1, not setup for line 3.
Body       short paragraphs, 1-3 lines each, blank line between every one.
           No wall. The white space is the format.
The turn   one line that reframes what came before.
Close      one specific question, or one instruction. Never both.

Length: 900-1,300 characters is the working range for a text post. Under 400 reads as a thought, not a post. Over 2,000 needs to earn every line, and the "see more" tap has to be paid for by line 2.

The loop

1. Pick three hooks, not one. Run the idea through hooks.json and choose the three formulas that genuinely fit it. Different formulas, not three variations of one. Show them as three numbered lines and say which you would ship and why, in one sentence.

2. Draft the full post on the strongest hook.

3. Humanize it. Run the draft through /li-human before showing it. Every post from this skill ships humanized. That is not an optional extra step, it is the reason the draft is worth reading.

4. Print the block. Copy-ready, in a fenced block, exactly as it should be pasted. Then, underneath:

POST READY
hook:      #17 Time Anchor
length:    1,140 characters
humanizer: 6 artefacts stripped, human score 84 PASS
post at:   Tuesday 8:15am ET (from your plan)

Reply "yes" to log it, or tell me what to change.

5. Never publish. This skill produces text. The user posts it. On "yes", append the post to ~/.claude/linkedin/log.md with the date, the hook used and the first line, so /li-audit has a history to work from later.

Rules that make the difference

  • One idea per post. If the draft has two, you have two posts. Say so.
  • Numbers over adjectives. "$4,200" beats "a lot". If the user has not given you a number, ask for one rather than writing around the hole.
  • No engagement bait. "Thoughts?" and "Agree?" are dead. The closing question has to be one only this post could ask.
  • Three hashtags maximum, at the bottom, and only if they are real categories someone follows.
  • No links in the post body. LinkedIn suppresses posts with outbound links. Put the link in the first comment and say so in the receipt.
  • Never fabricate. No invented metrics, clients, revenue figures or outcomes under the user's name, even as a placeholder. If a number is needed and unknown, leave {{your number}} in the draft and flag it.

Example

/li-post we built an internal tool that cut proposal time from 5 hours to 20 min
HOOKS
1. #17 Time Anchor    Writing a proposal used to take me 5 hours. It now takes 20 minutes.
2. #12 Comparison     A $12,000 proposal writer vs a weekend and a template. The weekend won.
3. #3  Mistake        For two years I charged clients for hours I was wasting on formatting.

Shipping #17: the ratio is believable and the number is yours.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Li Post AI skill do?

Write a LinkedIn post from a raw idea using 21 proven hook formulas, in the user's own voice, humanized so it does not read as AI. Use whenever the user wants a LinkedIn post, a hook, a draft for the feed, "post about X", "turn this into a LinkedIn post", or asks for hook options. Produces three hook options, one full draft, and a copy-ready block that is never published without an explicit yes.

Why use Li Post on TypingMind?

Because you install it once and use it with any model. Li Post 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 Post in TypingMind?

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

Which AI models can use Li Post?

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 Post?

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

Is the Li Post 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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