Agent skill

Linkedin Writer

by ognjengt in ognjengt/founder-skills

Creates viral LinkedIn posts using proven formats, post templates, and voice matching.

MITAuto-check passedWriting & Content

Install Linkedin Writer

skills CLI
$ npx skills add ognjengt/founder-skills --skill linkedin-writer -a claude-code

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

GitHub CLI
$ gh skill install ognjengt/founder-skills linkedin-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/ognjengt/founder-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin-writer .claude/skills/linkedin-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-writer
GitHub stars
447
Token cost
~3.4k tokens
SKILL.md length
1,585 words
Files
3 (incl. references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Creates viral LinkedIn posts using proven formats, post templates, and voice matching.

  • Works in 5 steps: MANDATORY: Read Reference Files FIRST → Check for Business Context → Analyze Input & Auto-Select Formats → …
  • User needs engaging
  • SKILL.md covers Purpose, Execution Logic, Task Execution and Writing Rules, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Linkedin Writer is an agent skill from ognjengt/founder-skills. Creates viral LinkedIn posts using proven formats, post templates, and voice matching. Use when user needs engaging, high-performing posts for LinkedIn.

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/linkedin-formats.md` and `references/linkedin-posts.md`).

It sits in Writing & Content, covering Social media posts. It works with LinkedIn. The repository describes itself as: Claude skills for founders. The licence is MIT.

When your agent uses it

  • User needs engaging
  • High-performing posts for LinkedIn

Example prompts

  • “Use the linkedin-writer skill to create viral LinkedIn posts using proven formats, post templates, and voice matching”
  • “/linkedin-writer”

Workflow steps

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

  1. MANDATORY: Read Reference Files FIRST
  2. Check for Business Context
  3. Analyze Input & Auto-Select Formats
  4. Generate 2 Viral LinkedIn Posts
  5. Format and Verify

What it can do on your machine

Read from SKILL.md and the folder at commit a45931c. 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 (its code samples are markdown).

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

  • Network

    No URLs in SKILL.md.

    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 Writer loads about 3.4k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 1,585 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8k

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 ognjengt/founder-skills at commit a45931c, republished under its MIT licence (© ognjengt). 1,585 words, ~3,385 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-writer/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
linkedin-writer
description
Creates viral LinkedIn posts using proven formats, post templates, and voice matching. Use when user needs engaging, high-performing posts for LinkedIn.

LinkedIn Writer

Purpose

Generate 2 viral LinkedIn posts in different proven formats, matched to the founder's voice, using battle-tested templates and patterns that drive engagement on LinkedIn.


Execution Logic

Check $ARGUMENTS first to determine execution mode:

If $ARGUMENTS is empty or not provided:

Respond with: "linkedin-writer loaded, proceed with your topic or idea"

Then wait for the user to provide their requirements in the next message.

If $ARGUMENTS contains content:

Proceed immediately to Task Execution (skip the "loaded" message).


Task Execution

When user requirements are available (either from initial $ARGUMENTS or follow-up message):

1. MANDATORY: Read Reference Files FIRST

BLOCKING REQUIREMENT — DO NOT SKIP THIS STEP

Before doing ANYTHING else, you MUST use the Read tool to read ALL reference files. This is non-negotiable:

Read: ./references/linkedin-formats.md
Read: ./references/linkedin-posts.md

What you will find:

  • linkedin-formats.md: 7 proven LinkedIn post formats with structure templates, psychology, rules, and when-to-use matching logic
  • linkedin-posts.md: 8+ proven viral LinkedIn posts organized by format type — the example and voice library

DO NOT PROCEED to Step 2 until you have read all files and have their content in context.

2. Check for Business Context

Check if FOUNDER_CONTEXT.md exists in the project root.

  • If it exists: Read it and use the business context to personalize output (industry terminology, audience pain points, brand voice, company name, products, achievements).
  • If it doesn't exist: Proceed using defaults from "Defaults & Assumptions."
3. Analyze Input & Auto-Select Formats

From the user's requirements, extract:

  • Topic/idea — What they want to post about
  • Goal — What they want the post to achieve (engagement, authority, leads, thought leadership)
  • Any specific format preference — If they mentioned a format type

Format Auto-Selection Logic:

If the user specified a format → use that format for one post, auto-select the best complementary format for the second.

If the user did NOT specify a format, auto-select 2 different formats based on the topic:

If the topic involves...Best format match
Multiple tips, lessons, mistakes, or advice pointsLessons Learned
A complete process, roadmap, or "how to achieve X"Actionable Blueprint
A personal experience, failure, setback, or pivotal momentPersonal Story
Explaining one specific technique, hack, or strategy with proofStrategy Breakdown
Analyzing a specific company, product, or brandCase Study
A strong opinion, industry trend, prediction, or contrarian viewIndustry Hot Take
A small but impactful tip or optimizationQuick Hack

Always select 2 DIFFERENT formats. Choose the primary format based on the strongest topic match, then select a complementary second format that gives the user a different angle on the same topic.

4. Generate 2 Viral LinkedIn Posts

Using the formats and posts you loaded in Steps 1-3:

  1. Study the example posts in linkedin-posts.md for your selected formats — internalize the rhythm, structure, hook style, and length
  2. Extract the voice DNA from the reference posts — match the writing style:
    • Conversational and direct, like talking to a peer
    • Short paragraphs (1-3 sentences each)
    • Heavy line breaks for readability
    • Mixes professional insight with personality
    • Uses specific numbers and data
    • First-person perspective with real examples
    • No corporate jargon
  3. If FOUNDER_CONTEXT.md exists, blend the founder's brand voice with the voice DNA from the reference posts
  4. Draft each post following the format's structure template, the voice DNA, and all Writing Rules below
  5. Run each post through the Engagement Test: "Would someone save this post or leave a comment?" If no → rewrite before continuing

Critical requirements:

  • Each post must use a DIFFERENT format (no repeats)
  • Each post must match the voice DNA from the reference posts
  • Each post must be about the user's SPECIFIC topic (not generic advice)
  • Each post must follow the format's structure template from linkedin-formats.md
  • Each post must be ready to copy-paste and post immediately — no placeholders, no [brackets], no instructions
  • The first 2 lines of each post must work as a compelling hook above LinkedIn's "see more" fold
5. Format and Verify
  • Structure output according to Output Format section
  • Complete Quality Checklist self-verification before presenting output
  • If any post feels generic, forced, or wouldn't pass the Engagement Test → rewrite before presenting

Writing Rules

Hard constraints. No interpretation.

Core Rules (Apply to ALL LinkedIn posts)
  • First 2 lines are everything. LinkedIn cuts off at ~210 characters with "see more." Your hook must compel the click. Make it the strongest part of the post.
  • Use frequent line breaks. On LinkedIn, white space = readability = engagement. One idea per paragraph.
  • Short paragraphs only — 1-3 sentences max per paragraph. Wall of text = scroll past.
  • Specific numbers > vague claims ("52% increase" not "significant increase", "23-person agency" not "large agency").
  • Active voice only. Never passive.
  • Present tense preferred.
  • Conversational tone — write like you're talking to one person, not presenting to a boardroom.
  • No hashtags in the body of the post. If used at all, maximum 3 at the very end below a line break.
  • No engagement bait ("Like if you agree", "Share this with someone who needs it"). It kills credibility on LinkedIn.
  • Every sentence must earn its place. If you can cut it without losing value, cut it.
  • Use emojis strategically and sparingly — numbered emojis (1️⃣ 2️⃣ 3️⃣), arrows (↳ →), checkmarks (✅), and pointers (👉) are functional. Decorative emojis are fine but don't overdo them.
  • Opinions > generic facts. LinkedIn rewards bold, specific takes from experience.
  • No "I think" or "In my opinion" — state opinions as earned truths from experience.
  • End with engagement drivers: direct questions, invitations to share experiences, or specific CTAs — but make them specific to the topic, not generic.
Voice-Matching Rules
  • Study the reference posts in linkedin-posts.md to absorb the writing DNA — the rhythm, the sentence length, the way ideas are paced.
  • Match the conversational, peer-to-peer tone. Not guru-to-student. Not corporate-to-employee. Founder-to-founder.
  • Use the same structural patterns: short opener → context → value → engaging closer.
  • If FOUNDER_CONTEXT.md exists, weave in the founder's specific terminology, industry language, and brand voice.
  • The posts should sound like they were written by a real person sharing real experience — never like AI-generated content.
  • Do NOT copy phrases or examples directly from the reference posts. Create original content that matches the voice structurally.
Show full SKILL.md (595 more words)Show less
Format-Specific Rules
  • Lessons Learned: Lead with credential. Each numbered item needs 2-4 lines of context, not just a title. End with a question.
  • Actionable Blueprint: Every step must be actionable with specific tools/numbers. End with math that proves the outcome.
  • Personal Story: Start with emotion. Use short sentences for tension. Lesson must feel earned by the narrative. End with an invitation to share.
  • Strategy Breakdown: Lead with surprising stat or result. Use numbered sub-points with arrows (↳). End with a next step.
  • Case Study: Use real company names. Lead with counterintuitive insight. Show contrast with "normal." End with a question.
  • Industry Hot Take: Take a clear side — no hedging. Build argument progressively. Closer must be quotable and memorable.
  • Quick Hack: Start with "Quick hack" signal. Show before/after. Use visual markers (✅ 👉). Keep it short. Push to action.
The Engagement Test

Before finalizing ANY post, ask yourself: "Would someone save this post, leave a comment, or send it to a colleague?" If the answer is no — the post isn't good enough. Rewrite it.


Output Format

Present exactly 2 posts, each labeled with its format:

markdown
## Your 2 LinkedIn Posts

**Topic:** [User's topic]

---

### Post 1 — [Format Name]

[Full post text, ready to copy and paste]

---

### Post 2 — [Format Name]

[Full post text, ready to copy and paste]

Example:

markdown
## Your 2 LinkedIn Posts

**Topic:** Why personal branding matters for SaaS founders

---

### Post 1 — Industry Hot Take

We've officially entered an era where anyone can build a SaaS overnight.

Lovable. Cursor. Replit. Bolt.

19-year-olds are going from idea to working prototype in 48 hours.

So here's the real question:

If anyone can build it, why should anyone buy YOURS?

The answer isn't your feature set. It's not your pricing.

It's you.

Your personal brand is the only unfakeable moat left.

When someone sees your product for the first time, they're not evaluating the tech.

They're evaluating the founder.

The game has changed.

It's not about who can build it.

It's about who can distribute it.

—

Trust the founder = trust the SaaS.

---

### Post 2 — Lessons Learned

I run a 23-person software development agency.

Here are 3 things that moved the needle more than any feature we ever built:

1️⃣ Building in public

↳ We started sharing our process, wins, and failures online. Within 6 months, 40% of our inbound leads mentioned our content. Trust was already built before the first call.

2️⃣ Showing up as a founder, not a company

↳ People don't follow logos. They follow people. The day I started posting as myself instead of the company brand, engagement went up 5x.

3️⃣ Owning a specific niche

↳ We stopped trying to be "the agency for everyone" and focused on Marketing, Healthcare, and Fintech. Referrals tripled because people could finally describe what we do in one sentence.

—

What's the one thing that moved the needle most in your business?

References

These files MUST be read using the Read tool before generating any posts (see Step 1):

FilePurpose
./references/linkedin-formats.md7 proven LinkedIn post formats with structure templates, psychology, rules, and when-to-use matching logic
./references/linkedin-posts.md8+ proven viral LinkedIn posts organized by format — the example and voice library

Why both matter: Formats provide the structural blueprint — when to use each format, how to build it, and what rules to follow. Posts show those formats executed with a real voice — the rhythm, personality, and style that makes LinkedIn content feel authentic instead of AI-generated. Formats alone = correct structure. Formats + Posts = viral content with a human voice.


Quality Checklist (Self-Verification)

Before finalizing output, verify ALL of the following:

Pre-Execution Check
  • I read ./references/linkedin-formats.md before generating posts
  • I read ./references/linkedin-posts.md before generating posts
  • I have all format definitions and example posts in context
Format Verification
  • Each post uses a DIFFERENT format from linkedin-formats.md (no repeats)
  • Each post follows its format's structure template exactly
  • Format selection matches the user's topic based on the auto-selection logic
  • Format-specific rules are followed
Voice Verification
  • Both posts match the voice DNA from the reference posts
  • Posts sound conversational and authentic — not AI-generated or corporate
  • FOUNDER_CONTEXT.md brand voice is blended in (if it exists)
  • Short paragraphs, frequent line breaks, specific numbers throughout
Content Verification
  • Both posts are about the user's specific topic (not generic filler)
  • Each post contains specific details, numbers, or examples (nothing vague)
  • First 2 lines of each post work as a compelling hook above the "see more" fold
  • No hashtags in body text, no engagement bait, emojis used sparingly and functionally
  • Each post is ready to copy-paste and post immediately — no placeholders
  • Posts end with engagement drivers (questions, CTAs) specific to the topic
The Engagement Test
  • Would someone save Post 1 or leave a comment? If no → rewrite
  • Would someone save Post 2 or leave a comment? If no → rewrite

If ANY check fails → revise before presenting.


Defaults & Assumptions

Use these unless the user overrides:

  • Number of posts: 2 (each in a different format)
  • Format selection: Auto-selected based on topic (see Step 3)
  • Goal: Maximize engagement (saves, comments, profile visits)
  • Audience: Founders, entrepreneurs, marketers (unless FOUNDER_CONTEXT specifies otherwise)
  • Tone: Conversational, peer-to-peer, experienced (matched from reference posts)
  • Post length: 600-1,500 characters (LinkedIn sweet spot for engagement)
  • Hook style: Compelling enough to click "see more" — first 2 lines must stand alone
  • Topic specificity: Use the user's exact topic — never drift to generic business advice

Document any assumptions made in the output.

© ognjengt, 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 2 other files (references) in skills/linkedin-writer of ognjengt/founder-skills.

  • SKILL.md
  • references/linkedin-formats.md
  • references/linkedin-posts.md

Open the folder on GitHubat commit a45931c

Compare with similar skills

Linkedin 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 Writer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Writer this skillognjengt/founder-skills447—~3.4kAutomated 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

Similar skills

  • Social

    coreyhaines31/marketingskills

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.

    54k GitHub starsUsed in 4 repos~4.5k tokens
    Writing & ContentAuto-check passed
  • Social Content

    freekmurze/dotfiles

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.

    1k GitHub starsUsed in 23 repos~2.1k tokens
    Writing & ContentAuto-check passed
  • Linkedin Marketing

    sergebulaev/linkedin-skills

    Plan, draft, audit, and publish LinkedIn posts and comments.

    4.4k GitHub starsUsed in 1 repo~3.2k tokens
    Writing & ContentAuto-check: notes
  • Linkedin Content Planner

    sergebulaev/linkedin-skills

    Generate a 7-day LinkedIn content plan from a theme, audience, and pillars.

    4.4k GitHub starsUsed in 1 repo~2.1k tokens
    Writing & ContentAuto-check passed
  • Typefully

    freekmurze/dotfiles

    Create, schedule, and manage social media posts via Typefully.

    1k GitHub starsUsed in 1 repo~3.4k tokens
    Writing & ContentAuto-check: notes
  • Changelog Social Recap

    FlorianBruniaux/claude-code-ultimate-guide

    Turns CHANGELOG.md entries for a release or a week into LinkedIn, Twitter/X, newsletter and Slack posts in French and English.

    6.1k GitHub stars~1.8k tokensUpdated 2 days ago
    Writing & ContentAuto-check: notes

More from ognjengt/founder-skills

All 15 skills in this repo
  • Brand Copywriter

    ognjengt/founder-skills

    Writes marketing copy using proven copywriting frameworks. An agent skill from ognjengt/founder-skills.

    447 GitHub stars~3.2k tokensUpdated 4 mo ago
    Auto-check passed
  • Cro Optimization

    ognjengt/founder-skills

    Analyzes landing pages and provides detailed CRO (Conversion Rate Optimization) recommendations.

    447 GitHub stars~2.4k tokensUpdated 4 mo ago
    Auto-check passed
  • Lead Magnet Generator

    ognjengt/founder-skills

    Creates viral lead magnet posts that drive comments and DMs.

    447 GitHub stars~3k tokensUpdated 4 mo ago
    Auto-check passed
  • Marketing Ideas

    ognjengt/founder-skills

    Produces the best marketing ideas for your business by analyzing your FOUNDERCONTEXT and matching it against a curated database of 170+ proven marketing strategies.

    447 GitHub stars~3.1k tokensUpdated 4 mo ago
    Auto-check passed
  • Outreach Specialist

    ognjengt/founder-skills

    Crafts high-converting outreach messages and email sequences for cold outreach, LinkedIn DMs, and follow-ups.

    447 GitHub stars~3.2k tokensUpdated 4 mo ago
    Auto-check passed
  • Viral Hook Creator

    ognjengt/founder-skills

    Creates viral social media hooks using proven psychological patterns and trigger words.

    447 GitHub stars~1.9k tokensUpdated 4 mo ago
    Auto-check passed

Works with

Questions about Linkedin Writer

What does Linkedin Writer do?

Creates viral LinkedIn posts using proven formats, post templates, and voice matching. Linkedin Writer is an agent skill from ognjengt/founder-skills. Creates viral LinkedIn posts using proven formats, post templates, and voice matching.

When should I use Linkedin Writer?

Linkedin Writer fits situations like: user needs engaging; high-performing posts for LinkedIn.

How do I install Linkedin Writer in Claude Code?

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

How do I install Linkedin Writer in Codex?

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

Can I use Linkedin 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 ognjengt/founder-skills --skill linkedin-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-writer, .gemini/skills/linkedin-writer, .github/skills/linkedin-writer and .opencode/skills/linkedin-writer in your project.

What does Linkedin Writer need to run?

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

Does Linkedin Writer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Linkedin 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 Writer use?

Linkedin Writer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkedin Writer use?

About 3.4k tokens (SKILL.md is roughly 14k 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 4.6k tokens, read only when the agent opens those files.

What are the alternatives to Linkedin Writer?

Skills that share tags, products or a category with Linkedin 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 Writer?

ognjengt (a GitHub user) maintains it in ognjengt/founder-skills, which has 447 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on May 18, 2026.

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