linkedin-hook-lab
Skill9 starsChanged 4 months agoMITView on GitHub
Generate ten scored hook variants for one topic, one per formula, and recommend the strongest two. Use when you have a post topic and need the opening line that stops the scroll.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- CodesbyFebin/linkedin-managertheir own version, first seen Oct 20, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- CodesbyFebin/linkedin-manager★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository28 other files it gives its agents.
- linkedin-booking-closerSkill
- linkedin-carousel-writerSkill
- linkedin-cold-reviverSkill
- linkedin-comment-engineSkill
- linkedin-comment-warmerSkill
- linkedin-connection-noteSkill
- linkedin-content-calendarSkill
- linkedin-engage-planSkill
- linkedin-engager-analyticsSkill
- linkedin-first-dmSkill
- linkedin-followup-adapterSkill
- linkedin-humanizerSkill
- linkedin-icp-definerSkill
- linkedin-objection-handlerSkill
- linkedin-onboardSkill
- linkedin-outreachSkill
- linkedin-post-autopsySkill
- linkedin-post-writerSkill
- linkedin-profile-auditorSkill
- linkedin-reply-triagerSkill
- linkedin-repurposerSkill
- linkedin-sell-by-chatSkill
- linkedin-signal-stackSkill
- linkedin-story-minerSkill
- linkedin-strategistSkill
- linkedin-voice-profilerSkill
- linkedin-warm-list-builderSkill
- linkedin-warm-trackerSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Write one hook for EACH of the ten formulas, in this order:
- Distinctive: line 27
Keep each hook under 235 characters so it survives the "see more" cut.
- Distinctive: line 36
No clickbait. If the hook over-promises, score it down and say so.
- Distinctive: line 38
No em-dashes. Draft only - the operator picks the winner and writes the post.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
LinkedIn Hook Lab
The hook decides whether the post gets read. This skill writes ten openers across ten proven formulas, scores them, and hands you the two best.
Inputs
- The topic and the audience it is for: $ARGUMENTS
- The brief (persona tone, pains, offer, voice profile) loads automatically.
Do this
- Write one hook for EACH of the ten formulas, in this order:
- Pattern-Break (says the unexpected thing first)
- Counter-Intuitive Insight (the truth most people get backwards)
- Experience-Led Observation (what you noticed doing the work)
- Direct Consequence (the cost of ignoring this)
- Confession + Result (an admission plus what it produced)
- Numbered Promise (a specific count of takeaways)
- Enemy-Hero-Gasoline-Teaser (name the villain, the win, the open loop)
- BREAKING / News (frame it as fresh signal)
- Stat-Anchored (X% vs Y%, a real or clearly-illustrative contrast)
- Mechanism-Reveal (the "here is how it actually works" angle)
- Keep each hook under 235 characters so it survives the "see more" cut. Count them.
- Score each hook 1-10 on the four value levers (dream outcome, perceived likelihood, time-to-result, effort-and-sacrifice) plus scroll-stop power.
- Pick the top two. Say in one line why each beats the rest.
Output
A table of the ten hooks: formula, hook text, character count, score. Then the recommended two, each with a one-line reason. End with a note: pass the chosen hook to the post draft, then run /linkedin-humanizer on the result.
Rules
- Counter-intuitive and BREAKING hooks must still be true and defensible. No claim the body cannot pay off.
- No clickbait. If the hook over-promises, score it down and say so.
- Real numbers only with honest attribution: "a post that did 12,000 impressions", never a named person or company.
- No em-dashes. Draft only - the operator picks the winner and writes the post.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

