agentleFS
Sign inStart free
YangsonHungYangsonHung/awesome-agent-skills/skills/en/linkedin/SKILL.md

linkedin

Skill18 starsChanged 6 days agoMITView on GitHub

Use when automating LinkedIn from the command line - fetching profiles, searching people and companies, sending messages and connection requests, posting, reacting, commenting, and extracting people/company/post data via the linkedin CLI.

23 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use reddit, instagram and 3 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • ReScienceLabSkill

    reddit

    Search and retrieve content from Reddit. Get posts, comments, subreddit info, and user profiles via the public JSON API. Use when user mentions Reddit, a subreddit, or r/ links.

    Also in 6 projects that use this

  • refly-aiSkill

    instagram

    Integrate with Instagram for social media. Use when you need to: (1) post content to Instagram, (2) manage media and insights, or (3) automate Instagram publishing workflows.

    Also in 4 projects that use this

  • G-HunterAiSkill

    tiktok

    TikTok platform integration. Manage videos, view analytics, and track engagement.

    Also in 3 projects that use this

  • anshul-garg27Skill

    newsletter

    Create engaging email newsletters with subject lines, sections, and CTAs for Substack, Beehiiv, ConvertKit, or plain email

    Also in 3 projects that use this

  • refly-aiSkill

    youtube

    Integrate with YouTube for video management. Use when you need to: (1) upload videos to YouTube, (2) manage channel content, or (3) retrieve video analytics and insights.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 19 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this skill when an agent needs to interact with LinkedIn programmatically: outreach at scale, lead research, network management, …

    line 14
  2. Distinctive:

    Do not use this skill to:

    line 25
  3. Distinctive:

    Keep Linked API credentials in the user's secure environment.

    line 33
  4. Distinctive:

    Prefer read-only profile, company, search, and extraction operations until the user approves a write.

    line 34

“Common” is measured: kept by at least 6 in 10 of the 19 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

LinkedIn Automation

Overview

Drive LinkedIn from the command line with the linkedin CLI, powered by Linked API cloud browsers. Fetch and search profiles and companies, send messages and connection requests, publish posts, react and comment, run Sales Navigator searches, and extract structured data about people, companies, and posts.

When to Use

Use this skill when an agent needs to interact with LinkedIn programmatically: outreach at scale, lead research, network management, content publishing, or data extraction.

Capabilities

  • Fetch and search: profiles, companies, people search, Sales Navigator search
  • Engage: send messages, connection requests, reactions, comments
  • Publish: create posts
  • Extract: structured data about people, companies, and posts

Do not use

Do not use this skill to:

  • Bypass LinkedIn access controls, rate limits, or account security
  • Store or expose LinkedIn credentials, session cookies, or access tokens
  • Send messages, connection requests, reactions, comments, or posts without the user's explicit approval

Instructions

  1. Confirm the LinkedIn action, target, and intended audience before any write operation.
  2. Keep Linked API credentials in the user's secure environment; use placeholders in examples.
  3. Prefer read-only profile, company, search, and extraction operations until the user approves a write.
  4. Summarize the target and content and obtain confirmation immediately before sending, posting, or changing data.
  5. Respect LinkedIn policies, consent, privacy, and rate limits; stop when authentication or access is unavailable.

Notes

Each command runs a real cloud browser through Linked API, so operations take seconds to minutes rather than being instant. Requires a Linked API account and tokens. Docs: https://linkedapi.io

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free