Agent skill

Linkedin Post Writer

by sickn33 in sickn33/agentic-awesome-skills

Draft LinkedIn posts from 16 tested hook formulas mapped to engagement goals (comments, reposts, likes, saves), with 2026 algorithm formatting rules and an AI-tell scrub pass before publishing.

MITAuto-check passedWriting & Content

Install Linkedin Post Writer

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill linkedin-post-writer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills linkedin-post-writer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-post-writer .claude/skills/linkedin-post-writer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkedin-post-writer
GitHub stars
47k
Used in
1 other repo
Token cost
~2.5k tokens
SKILL.md length
1,126 words
Files
2 (incl. references)
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

Draft LinkedIn posts from 16 tested hook formulas mapped to engagement goals (comments, reposts, likes, saves), with 2026 algorithm formatting rules and an AI-tell scrub pass before publishing.

  • Works in 5 steps: Gather inputs → Pick the formula by engagement goal first → Draft the post → …
  • Tasks that involve Social media posts
  • SKILL.md covers Overview, When to Use This Skill, How It Works and Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Linkedin Post Writer is an agent skill from sickn33/agentic-awesome-skills. Draft LinkedIn posts from 16 tested hook formulas mapped to engagement goals (comments, reposts, likes, saves), with 2026 algorithm formatting rules and an AI-tell scrub pass before publishing.

Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/hook-formulas.md`).

It sits in Writing & Content, covering Social media posts. It works with LinkedIn. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • Tasks that involve Social media posts

Example prompts

  • “/linkedin-post-writer”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Gather inputs
  2. Pick the formula by engagement goal first
  3. Draft the post
  4. Scrub AI tells
  5. Present the result

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkedin Post Writer loads about 2.5k tokens when it runs, and up to ~6.6k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 1,126 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 1,126 words, ~2,478 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-post-writer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
linkedin-post-writer
description
Draft LinkedIn posts from 16 tested hook formulas mapped to engagement goals (comments, reposts, likes, saves), with 2026 algorithm formatting rules and an AI-tell scrub pass before publishing.
category
marketing
risk
none
source
community
source_repo
sergebulaev/linkedin-skills
source_type
community
date_added
2026-07-06
author
sergebulaev
tags
linkedin, copywriting, hooks, social-media, personal-brand, content-marketing
tools
claude, codex, cursor, gemini
license
MIT

LinkedIn Post Writer

Overview

Drafts long-form LinkedIn posts using 16 hook formulas that were reverse-engineered from posts that outperformed their authors' baselines in 2025-2026, each with a reference engagement number. Instead of asking "what should I write", the workflow asks "what should this post earn" (comments, reposts, likes, or saves), shortlists 2-3 matching formulas, fills the chosen skeleton with the user's voice, then scrubs the draft for AI tells before it ships.

This is the flagship skill from sergebulaev/linkedin-skills, a 10-skill LinkedIn bundle (writer, humanizer, pre-publish audit, comment drafter, reply handler, hook extractor, content planner, profile optimizer, engager analytics, thread monitor) installable as a Claude Code or Codex plugin. This standalone version covers the drafting workflow; scheduling and publishing automation live in the full bundle.

When to Use This Skill

  • Use when the user says "write me a LinkedIn post about X"
  • Use when the user has a topic and a rough angle but needs a hook and structure
  • Use when the user wants to pick from proven post formats instead of improvising
  • Use when a draft exists but the hook is weak and needs a formula-based rebuild
  • Not for replying to comments or optimizing profiles; this skill only drafts posts

How It Works

Step 1: Gather inputs

Collect: topic, angle, target audience (founders, operators, marketers), desired length (short 300-500, medium 900-1,300, or long 1,500-1,900 characters), and any raw material the user already has (numbers, anecdotes, names).

Step 2: Pick the formula by engagement goal first

Ask (or infer) what the post should earn, then shortlist:

GoalEarned byFormulas
Commentsquestions, contrarian takes, vulnerabilityF4 Time-Anchor Confession, F10 Contrarian + Receipts, F12 Permission Slip, F9 Curiosity-Gap
Repostsquotable maxims, tributes, "X isn't Y" distinctionsF14 Named Gratitude, F2 R.I.P. Obituary, F8 Paid-vs-Free Reversal
Likesemotional stories, celebrations, status-stripF11 Emotional Cold-Open, F13 Bait-and-Switch Reversal, F16 Status-Strip Humility
Savessimplifications, exact how-to, frameworksF15 Explain-to-Kids, F7 Odd-Precision Money Ledger, F8 Paid-vs-Free Reversal

The full set of 16, with reference engagement:

CodeFormulaReferenceBest for
F1Platform Risk Anaphora4,240 engCategory and platform-risk arguments
F2R.I.P. Obituary3,822 engEra-ending claims, industry pivots
F3Year-over-Year Pivot494 eng, 3.74x baselineIdentity shifts, founder reflection
F4Time-Anchor Confession1,519+ engVulnerability, voice reset
F5Self-Proving Meta1,082 eng, 435 commentsCommitments and tests in public
F6Comment-Gate Lead Magnet717-3,008 engList building (max once a month)
F7Odd-Precision Money Ledger1,755 eng, 9.4x baselineBuild logs, cost breakdowns
F8Paid-vs-Free Reversal550 eng, 19.64x baselineFramework giveaways
F9Curiosity-Gap Teaser306 eng, 4.25x baselineSurprise and behind-the-scenes stories
F10Contrarian + Historical Receipts3,083 engSacred-cow takes backed by history
F11Emotional Cold-Openhigh raw reachReal stories with emotional stakes
F12Permission Slipcomment-heavyEncouragement to a discouraged audience
F13Bait-and-Switch Reversalhigh raw reachBad-news framing that turns into an upgrade
F14Named Gratitude / Tributerepost-heavyThanking mentors, teams, departing colleagues
F15Explain-to-Kidssave-heavyDemystifying jargon into a reference post
F16Status-Strip Humilitylike-heavySenior voices trading prestige for warmth

Important caveat: F1-F10 references are engagement counts or format multipliers against the author's own baseline; F11-F16 references are raw corpus reach, often inflated by a famous author or a reshare. The two groups measure different things, so never rank formulas across groups by number.

The full skeletons for all 16 formulas are bundled with this skill in references/hook-formulas.md, along with per-formula warnings and the "Never do" list.

Step 3: Draft the post

Read the chosen formula's skeleton from the bundled references/hook-formulas.md and fill it with the user's voice and material, respecting the 2026 formatting rules:

  • Hook lands in the first 210 characters (before the "... see more" fold)
  • 900-1,300 characters is the sweet spot for text posts
  • Double line-breaks between ideas, never walls of text
  • 0-2 hashtags, placed at the end
  • No external links in the body (put links in the first comment)
  • Prefer "How I" over "How to": first-person experience hooks outperform generic instruction 2-3x
  • Put one specific number in the first sentence ($873.47 beats $900; 40,000 beats "a lot")
Show full SKILL.md (455 more words)Show less
Step 4: Scrub AI tells

Before showing the draft: strip em dashes, AI vocabulary ("game-changer", "deep dive", "delve"), rule-of-three lists without receipts, and generic openers like "In today's fast-paced world". Add human fingerprints: at least one specific number, one named entity, and one first-person concrete detail per 100 words. Vary sentence length aggressively (mix 3-word and 25-word sentences).

Step 5: Present the result

Show the user: formula used, full draft, character count, and a suggested posting window (Tuesday to Thursday, 7:30-9:00 AM local time performs best for B2B audiences).

Examples

Example 1: Founder build-log (F7 Odd-Precision Money Ledger)
text
User:  write a post about what my bootstrapped SaaS actually costs to run
Agent: Goal check: this reads like a saves play (people screenshot cost
       breakdowns). Best fit is F7 Odd-Precision Money Ledger (9.4x baseline).
       Draft hook:

       "My SaaS costs $412.83 a month to run. Here is every line item."

       Then the ledger: hosting $94.20, email $35.00, monitoring $18.63...
       exact numbers only, totals that actually add up, one lesson at the end.
Example 2: Goal-first selection
text
User:  I want a post that gets real comments, topic: why I stopped doing demos
Agent: Comment-earners are F4 Confession, F10 Contrarian, F12 Permission Slip.
       For "I stopped doing X" the strongest is F10 Contrarian + Receipts:
       open with the unpopular claim, back it with 2 historical parallels,
       close with a question that forces side-picking. Reference: 3,083 eng.

Best Practices

  • ✅ Pick the formula by engagement goal first, topic second
  • ✅ Lead with a real failure or a specific number in the first 3 lines
  • ✅ Include one moment of genuine vulnerability or concrete stakes; pure insight posts underperform in 2026
  • ❌ Don't blend two hook formulas in one post; it dilutes both
  • ❌ Don't use F5 Self-Proving Meta unless the user will actually keep the promise
  • ❌ Don't pair F7 Money Ledger with rounded or invented numbers; readers notice
  • ❌ Don't open with an all-caps line ("THIS CHANGED EVERYTHING")
  • ❌ Don't frame LinkedIn as inferior inside a LinkedIn post

Limitations

  • Reference engagement numbers describe the 2025-2026 corpus the formulas were extracted from; they are priors, not guarantees, and LinkedIn's ranking changes over time.
  • The skill drafts text posts; it does not generate images, carousels, or video scripts.
  • This standalone version does not schedule or publish. Scheduling, comment drafting, reply handling, and engagement analytics require the full bundle from the source repo.
  • Voice quality depends on the raw material the user provides; a formula cannot invent authentic anecdotes, and the skill should ask for real details rather than fabricate them.

Common Pitfalls

  • Problem: The draft sounds like every other AI-written LinkedIn post. Solution: Run Step 4 ruthlessly. Cut em dashes, cut "game-changer" vocabulary, and force one concrete first-person detail per 100 words.
  • Problem: The hook is buried in paragraph two. Solution: The first 210 characters must carry the hook; everything before the fold decides the expand rate.
  • Problem: Comparing F11's raw reach to F8's 19.64x multiplier and picking F11 "because the number is bigger". Solution: The columns measure different things. Match formula to goal and topic, not to the largest number.
  • Problem: Post gets reach but zero comments. Solution: The formula was picked for the wrong goal. Comment-earners end with a question or a side-picking claim, not a summary.
  • @linkedin-content-generator - broader LinkedIn content suite (carousels, newsletters, calendars)
  • @linkedin-profile-optimizer - profile and authority optimization rather than post drafting
  • @social-post-writer-seo - multi-platform social copy when LinkedIn is not the only target

Additional Resources

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/linkedin-post-writer of sickn33/agentic-awesome-skills.

  • SKILL.md
  • references/hook-formulas.md

Open the folder on GitHubat commit 680176d

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Linkedin Post Writer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkedin Post Writer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Post Writer this skillsickn33/agentic-awesome-skills47k1 repos~2.5kAutomated safety check: PassMIT
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone
Linkedin Marketingsergebulaev/linkedin-skills4.4k1 repos~3.2kAutomated safety check: NotesMIT
Linkedin Content Plannersergebulaev/linkedin-skills4.4k1 repos~2.1kAutomated safety check: PassMIT
Typefullyfreekmurze/dotfiles1k1 repos~3.4kAutomated safety check: NotesNone

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Works with

Questions about Linkedin Post Writer

What does Linkedin Post Writer do?

Draft LinkedIn posts from 16 tested hook formulas mapped to engagement goals (comments, reposts, likes, saves), with 2026 algorithm formatting rules and an AI-tell scrub pass before publishing. Linkedin Post Writer is an agent skill from sickn33/agentic-awesome-skills. Draft LinkedIn posts from 16 tested hook formulas mapped to engagement goals (comments, reposts, likes, saves), with 2026 algorithm formatting rules and an AI-tell scrub pass before publishing.

When should I use Linkedin Post Writer?

Linkedin Post Writer fits situations like: tasks that involve Social media posts.

How do I install Linkedin Post Writer in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-post-writer -a claude-code`. Or copy the skill folder (skills/linkedin-post-writer in sickn33/agentic-awesome-skills) into .claude/skills/linkedin-post-writer in your project. Claude Code loads it when a task matches its description.

How do I install Linkedin Post Writer in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-post-writer -a codex`. Or copy the skill folder (skills/linkedin-post-writer in sickn33/agentic-awesome-skills) into .agents/skills/linkedin-post-writer in your project. Codex loads it when a task matches its description.

Can I use Linkedin Post Writer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill linkedin-post-writer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-post-writer, .gemini/skills/linkedin-post-writer, .github/skills/linkedin-post-writer and .opencode/skills/linkedin-post-writer in your project.

What does Linkedin Post Writer need to run?

SKILL.md names no scripts, command-line tools or credentials: Linkedin Post Writer is instructions for the agent only.

Does Linkedin Post Writer access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Linkedin Post Writer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Linkedin Post Writer use?

Linkedin Post Writer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkedin Post Writer use?

About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.1k tokens, read only when the agent opens those files.

What are the alternatives to Linkedin Post Writer?

Skills that share tags, products or a category with Linkedin Post Writer: Social (coreyhaines31/marketingskills, 54k stars), Social Content (freekmurze/dotfiles, 1k stars), Linkedin Marketing (sergebulaev/linkedin-skills, 4.4k stars) and Linkedin Content Planner (sergebulaev/linkedin-skills, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Post Writer?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.