Linkedin Optimization

Organization

cosmicstack-labs

linkedin-optimization

Profile optimization, content strategy, networking, thought leadership, and personal branding

Overview

Publisher	cosmicstack-labs
Repository	`mercury-agent-skills`
Skill name	`linkedin-optimization`
Stars	485
Forks	63
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by cosmicstack-labs on GitHub. Read the source before you install it.

Installation

Install the Linkedin Optimization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/career/linkedin-optimization
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/career/linkedin-optimization

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skills.git /tmp/mercury-agent-skills
mkdir -p .claude/skills
cp -r /tmp/mercury-agent-skills/categories/career/linkedin-optimization .claude/skills/linkedin-optimization

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Linkedin Optimization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Linkedin Optimization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Linkedin Optimization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

LinkedIn Optimization

Turn your LinkedIn profile into a career asset.

Profile Optimization

Headline (120 chars)

Don't just list your job title. Include:

Your value proposition
Target keywords
Differentiator

Bad: "Software Engineer at Acme Corp" Good: "Full-Stack Engineer | React, Node.js, TypeScript | Building products that scale"

About Section (2000 chars)

Structure: Hook → Story → Expertise → CTA

First 3 lines visible without clicking "see more" — make them count
Use bullet points for readability
Include results and metrics
End with what you're looking for

Experience

Write for scannability: results first, context later
3-5 bullets per role with metrics
Use the STAR/CAR framework
Include media (presentations, code, design files)

Content Strategy

Post Types

Type	Frequency	Purpose
Educational	2x/week	Share expertise
Stories	1x/week	Personal connection
Opinions	1x/2 weeks	Thought leadership
Engagement	Daily (5 min)	Comment on others' posts

Engagement Rules

Comment within first hour of posts for visibility
Add value: insights, experience, resources
Don't self-promote in others' comment sections
DM people who comment on your posts to build relationships

Networking

Connection request: always include a personalized note
Follow up within 48 hours after connecting
Offer value before asking for anything
Build relationships, not a rolodex

Frequently asked questions

What does the Linkedin Optimization AI skill do?

Profile optimization, content strategy, networking, thought leadership, and personal branding

Why use Linkedin Optimization on TypingMind?

Because you install it once and use it with any model. Linkedin Optimization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Linkedin Optimization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/career/linkedin-optimization. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Linkedin Optimization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Linkedin Optimization?

As many as you like. As long as a model supports skills, you can use Linkedin Optimization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Linkedin Optimization AI skill free?

Yes. It is published on GitHub by cosmicstack-labs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

LinkedIn Optimization

Profile Optimization

Headline (120 chars)

About Section (2000 chars)

Experience

Content Strategy

Post Types

Engagement Rules

Networking

Frequently asked questions

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