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/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

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From plugin
linkedin-agent
1.5k11 skills
Install
$ npx -y skills add Jakeschincariol/linkedin-agent-skill --skill li-post --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/li-post

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

li-post.SKILL.md
name: li-post
description: >-
  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.

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.
Read more
Ships withlinkedin-agent

Eleven Claude skills that run a LinkedIn account. Free, MIT, no signup, no API key, nothing to connect. One of them writes your posts off 21 hook formulas. One comments on other people's posts. One handles the replies under yours.

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Maintenance
Python
Language
MIT
License
21d ago
Last commit
1mo ago
Created
1d ago
Added

Repo: Jakeschincariol/linkedin-agent-skill

Other skills on linkedin-agent.