Browsing Linkedin

Organization

browsing-skills

browsing-linkedin

Use when the user wants to interact with LinkedIn — extract post data (content, author, reactions, comments), scrape a member profile (name, headline, experience, education, skills), search for jobs, extract a company page, or export the user's saved posts as structured data or markdown. Works on linkedin.com. Public posts work without login; private/account-personalized content works best with an li_at session cookie.

Overview

Publisher	browsing-skills
Repository	`browsing-skills`
Skill name	`browsing-linkedin`
Stars	120
Forks	19
Bundled files	5
License	MIT
Links	Skill source Repository

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by browsing-skills on GitHub. Read the source before you install it.

Installation

Install the Browsing Linkedin 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/browsing-skills/browsing-skills/tree/main/skills/linkedin.com
Enable the skill in any chat where you want it available.

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/browsing-skills/browsing-skills.git /tmp/browsing-skills
mkdir -p .claude/skills
cp -r /tmp/browsing-skills/skills/linkedin.com .claude/skills/browsing-linkedin

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

Use it in TypingMind

Enable Browsing Linkedin 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 Browsing Linkedin 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 Browsing Linkedin 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 — Browsing Skill

Use this index to choose the LinkedIn action that matches the user request, then open the linked reference file for the complete navigation, requirements, code, and return shape.

Action Index

post-data — Extract a LinkedIn post's content, author, reactions, comments, reposts, and canonical metadata. Full spec: references/post-data.md.
profile-data — Extract a LinkedIn profile's name, headline, location, about, experience, education, and skills. Requires li_at cookie and a real browser. Full spec: references/profile-data.md.
job-search — Search LinkedIn jobs and extract listings (title, company, location, date, URL, Easy Apply flag). li_at cookie recommended. Full spec: references/job-search.md.
company-data — Extract a LinkedIn company page (name, about, website, industry, size, followers, specialties). li_at cookie recommended. Full spec: references/company-data.md.
saved-posts — Extract saved posts from the user's LinkedIn saved-posts feed. Auto-scrolls, expands truncated bodies, tags posts by topic, and supports regex filtering. Requires li_at cookie and a real browser. Full spec: references/saved-posts.md.

Benchmarks

Benchmarks compare the maintained skill action against a no-skill browser agent that inspects the live page DOM and derives selectors at runtime. Full notes live in BENCHMARKS.md.

Action	With Skill	Without Skill	Notes
post-data	TBD	TBD	Planned.
profile-data	TBD	TBD	Planned.
job-search	TBD	TBD	Planned.
company-data	TBD	TBD	Planned.
saved-posts	TBD	TBD	Planned.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Browsing Linkedin AI skill do?

Why use Browsing Linkedin on TypingMind?

Because you install it once and use it with any model. Browsing Linkedin 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 Browsing Linkedin in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browsing-skills/browsing-skills/tree/main/skills/linkedin.com. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Browsing Linkedin?

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 Browsing Linkedin?

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

Is the Browsing Linkedin AI skill free?

Yes. It is published on GitHub by browsing-skills 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 — Browsing Skill

Action Index

Benchmarks

Bundled files

Frequently asked questions

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