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.
- Installs
- 247
- Last 24h
- +15
- Trending rank
- #7093
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/jakeschincariol/linkedin-agent-skill --skill li-post- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads li-post automatically when relevant.
- 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-post
Turns one raw idea into a LinkedIn post that sounds like the person who posted it.
Before you write
- Read
~/.claude/linkedin/voice.mdif 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. - Read
hooks.jsonin this folder. All 21 formulas, with templates, filled examples, what each is for, and how each one usually gets ruined. - 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.
FAQ
What does the li-post 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.
How do I install li-post?
Run npx skills add https://github.com/jakeschincariol/linkedin-agent-skill --skill li-post 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-post/ (personal) or .claude/skills/li-post/ (project).
Which AI agents can use li-post?
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-post 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-post?
It is published by jakeschincariol in jakeschincariol/linkedin-agent-skill. It has 247 recorded installs.
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