Agent skill

Browsing Linkedin

by browsing-skills in browsing-skills/browsing-skills

A skill your agent uses when the user wants to interact with LinkedIn — extract post data (content, author, reactions, comments), scrape a member profile (name, headline, experience, education…

MITAuto-check passedMarketing & SEO

Install Browsing Linkedin

skills CLI
$ npx skills add browsing-skills/browsing-skills --skill browsing-linkedin -a claude-code

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

GitHub CLI
$ gh skill install browsing-skills/browsing-skills browsing-linkedin --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/browsing-skills/browsing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/linkedin.com .claude/skills/browsing-linkedin && 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
browsing-linkedin
GitHub stars
117
Token cost
~575 tokens
SKILL.md length
198 words
Files
6 (incl. references)
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user wants to interact with LinkedIn — extract post data (content, author, reactions, comments), scrape a member profile (name, headline, experience, education…

  • The user wants to interact with LinkedIn — extract post data (content
  • SKILL.md covers Action Index and Benchmarks
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Scrape a member profile (name

What it does

Browsing Linkedin is an agent skill from browsing-skills/browsing-skills. 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 liat session cookie.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/company-data.md`, `references/job-search.md` and `references/post-data.md`).

It sits in Marketing & SEO, covering Web scraping and Schema markup. It works with LinkedIn. The repository describes itself as: Open-source registry of browser-automation skills for AI agents. The licence is MIT.

When your agent uses it

  • The user wants to interact with LinkedIn — extract post data (content
  • Scrape a member profile (name
  • Search for jobs
  • Extract a company page

Example prompts

  • “/browsing-linkedin”

What it can do on your machine

Read from SKILL.md and the folder at commit 07855b5. 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

    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

Browsing Linkedin loads about 575 tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 198 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~110
When it runs · the whole SKILL.md, loaded when a task matches
~575
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

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 browsing-skills/browsing-skills at commit 07855b5, republished under its MIT licence (© browsing-skills). 198 words, ~575 tokens.

Download SKILL.mdSave it as .claude/skills/browsing-linkedin/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
browsing-linkedin
description
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.

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.

ActionWith SkillWithout SkillNotes
post-dataTBDTBDPlanned.
profile-dataTBDTBDPlanned.
job-searchTBDTBDPlanned.
company-dataTBDTBDPlanned.
saved-postsTBDTBDPlanned.

© browsing-skills, 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 5 other files (references) in skills/linkedin.com of browsing-skills/browsing-skills.

  • SKILL.md
  • references/company-data.md
  • references/job-search.md
  • references/post-data.md
  • references/profile-data.md
  • references/saved-posts.md

Open the folder on GitHubat commit 07855b5

Compare with similar skills

Browsing Linkedin 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.

Browsing Linkedin compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Browsing Linkedin this skillbrowsing-skills/browsing-skills117—~575Automated safety check: PassMIT
Data Feedsbrightdata/skills264—~2.2kAutomated safety check: PassMIT
Google Maps Contact Extractbrowser-act/skills6.1k—~2.9kAutomated safety check: PassMIT
Apify Ads Intelligenceapify/awesome-skills265—~4.2kAutomated safety check: NotesApache-2.0
Aptos Explorer LLM SEOaptos-labs/explorer124—~835Automated safety check: PassNone
Bright Data MCPbrightdata/skills2641 repos~3.7kAutomated safety check: PassMIT

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Works with

Questions about Browsing Linkedin

What does Browsing Linkedin do?

A skill your agent uses when the user wants to interact with LinkedIn — extract post data (content, author, reactions, comments), scrape a member profile (name, headline, experience, education…. Browsing Linkedin is an agent skill from browsing-skills/browsing-skills. 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.

When should I use Browsing Linkedin?

Browsing Linkedin fits situations like: the user wants to interact with LinkedIn — extract post data (content; scrape a member profile (name; search for jobs; extract a company page.

How do I install Browsing Linkedin in Claude Code?

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

How do I install Browsing Linkedin in Codex?

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

Can I use Browsing Linkedin 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 browsing-skills/browsing-skills --skill browsing-linkedin -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/browsing-linkedin, .gemini/skills/browsing-linkedin, .github/skills/browsing-linkedin and .opencode/skills/browsing-linkedin in your project.

What does Browsing Linkedin need to run?

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

Does Browsing Linkedin 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 Browsing Linkedin 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 Browsing Linkedin use?

Browsing Linkedin 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 Browsing Linkedin use?

About 575 tokens (SKILL.md is roughly 2.3k 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 13k tokens, read only when the agent opens those files.

What are the alternatives to Browsing Linkedin?

Skills that share tags, products or a category with Browsing Linkedin: Data Feeds (brightdata/skills, 264 stars), Google Maps Contact Extract (browser-act/skills, 6.1k stars), Apify Ads Intelligence (apify/awesome-skills, 265 stars) and Aptos Explorer LLM SEO (aptos-labs/explorer, 124 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Browsing Linkedin?

browsing-skills (a GitHub organization) maintains it in browsing-skills/browsing-skills, which has 117 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on June 10, 2026.

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