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.