linkedin-post-writer
Skill9 starsChanged 4 months agoMITView on GitHub
Draft a viral-ready LinkedIn post using one of ten proven hook formulas, sized 900 to 1,300 characters, shown as a draft before anything touches LinkedIn. Use when you have a topic and want a post that proves competence and pulls engagement.
22 other projects use a version of this.
Adopted by
Most recently taken up by
- uplika/uplika-plugintheir own version, first seen Nov 8, 2026
- alunadev/ald-skillstheir own version, first seen Nov 8, 2026
- 07001ec010shnk-svg/linkedin-agent-skillstheir own version, first seen Oct 25, 2026
- jaredhhawk/claude-skillstheir own version, first seen Oct 25, 2026
- Rajveerx11/skillstheir own version, first seen Oct 25, 2026
- prosyo-ai/gtm-skilltheir own version, first seen Oct 25, 2026
Used with
Projects with it also use linkedin-comment-drafter, linkedin-content-planner and 7 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
sergebulaevSkilllinkedin-comment-drafter
Draft a LinkedIn comment on someone else's post from its URL, or reshare (repost) it to your feed with optional commentary. Use when the user pastes a post URL and asks to comment, engage, be first commenter, or repost with their thoughts. Produces 1-3 variants in the user's voice, picks a reaction, and publishes via Publora on approval. Not for replying to existing comments (use linkedin-reply-handler).
Also in 7 projects that use this
sergebulaevSkilllinkedin-content-planner
Generate a 7-day LinkedIn content plan from a theme, audience, and pillars. Produces per-day post pillar, format, hook type, CTA, posting time, daily comment targets, and a weekly inbound-readiness check. Use when the user wants to plan a week or month of content, not draft a single post (use linkedin-post-writer).
Also in 7 projects that use this
az9713Skilllinkedin-profile-optimizer
Optimize LinkedIn profile sections for maximum impact and conversions. Use when the user wants to improve their LinkedIn headline, about section, experience descriptions, or overall profile strategy.
Also in 10 projects that use this
- +6 more from sergebulaev
Other versions22 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 22
- sergebulaev/linkedin-skills★ 5.4ksame name
- aakashg/pm-claude-skills★ 106same name
- prosyo-ai/gtm-skill★ 13same name
- TaplioOfficial/taplio-linkedin-claude-skills★ 7same name
- alunadev/ald-skills★ 4same name
- TaplioOfficial/taplio-linkedin-plugin★ 3same name
- uplika/uplika-plugin★ 3same name
- sohaib25225-gif/claude-linkedin-post-writer★ 2same name
- AIProUK/linkedin-claude-skills★ 1same name
- postoncehq/linkedin-mcp★ 1same name
12 more not listed
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-hook-labSkill
- linkedin-humanizerSkill
- linkedin-icp-definerSkill
- linkedin-objection-handlerSkill
- linkedin-onboardSkill
- linkedin-outreachSkill
- linkedin-post-autopsySkill
- 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
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 21 edited versions we read keep these.
2
Distinctive
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 18
Write the hook so the first 210 to 235 characters (everything visible before "see more") carry all four value levers at once: dream outcome …
- Distinctive: line 35
No em-dashes. No banned hype words.
“Common” is measured: kept by at least 6 in 10 of the 21 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
LinkedIn Post Writer
The hero skill. Turns a topic and a shred of proof into a post that earns attention and proves the competence the buyer is buying. Drafts only, never posts.
Inputs
- The topic or angle, plus any proof you have (a number, a before/after, a build): $ARGUMENTS
- The brief (persona, voice profile, offer, pains) loads automatically.
Do this
- Pick the best-fit hook formula from THE TEN, given the topic and proof: Pattern-Break, Counter-Intuitive Insight, Experience-Led Observation, Direct Consequence, Confession+Result, Numbered Promise, Enemy-Hero-Gasoline-Teaser, BREAKING/News framing, Stat-Anchored (X% vs Y%), Mechanism-Reveal.
- Write the hook so the first 210 to 235 characters (everything visible before "see more") carry all four value levers at once: dream outcome up, perceived likelihood up, time-delay down, effort down.
- Body gives a SYSTEM, not tips: name the parts and show the arrows between them. Include one copy-paste-able artefact line (a prompt, a check, a template line). Quantify one before/after in money and hours. Land one contrarian quotable line.
- Close with a comment-keyword CTA plus a connect line (e.g. "comment WORD and I'll send it").
- Total length 900 to 1,300 characters. Count it.
Output
- The post, ready to read top to bottom.
- The hook formula used (one of THE TEN).
- The visible-before-cut preview (first 210 to 235 chars, exactly what shows before "see more").
- The character count.
- A suggested comment keyword.
- A note: run /linkedin-humanizer next before posting.
Rules
- Sell the operator, not the artefact: the topic must PROVE the competence the buyer is buying, even when it is not literally the product.
- Outcome + mechanism: name the outcome and reveal the mechanism. AI does the volume, operator judgment picks the targets. Position the operator as a Revenue Partner who uses AI to do the heavy lifting.
- Proof attributes to "a post", "a client", or "an operator", never to a named person or company.
- No em-dashes. No banned hype words.
- Draft only. Pass the draft through /linkedin-humanizer before posting. Nothing auto-posts; the operator approves and publishes.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

