Why use Linkedin on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/linkedin. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 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 Linkedin?

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

Is the Linkedin AI skill free?

Yes. It is published on GitHub by ArabelaTso under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

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.

Linkedin by ArabelaTso — AI Skill for Any LLM

Q: What does the Linkedin AI skill do?

General-purpose LinkedIn automation – fetch profiles, search people and companies, send messages, manage connections, create posts, and more. Use when the user wants to interact with LinkedIn.

LinkedIn Skill

You have access to linkedin – a CLI tool for LinkedIn automation. Use it to fetch profiles, search people and companies, send messages, manage connections, create posts, react, comment, and more.

Each command sends a request to Linked API, which runs a real cloud browser to perform the action on LinkedIn. Operations are not instant – expect 30 seconds to several minutes depending on complexity.

If linkedin is not available, install it:

bash
npm install -g @linkedapi/linkedin-cli

Authentication

If a command fails with exit code 2 (authentication error), ask the user to set up their account:

Go to app.linkedapi.io and sign up or log in
Connect their LinkedIn account
Copy the Linked API Token and Identification Token from the dashboard

Once the user provides the tokens, run:

bash
linkedin setup --linked-api-token=TOKEN --identification-token=TOKEN

Global Flags

Always use --json and -q for machine-readable output:

bash
LINKEDAPI_CLIENT=skill:linkedin linkedin <command> --json -q

When using this skill, run every linkedin ... example below with the LINKEDAPI_CLIENT=skill:linkedin prefix so Linked API can attribute usage to the skill.

Flag	Description
`--json`	Structured JSON output
`--quiet` / `-q`	Suppress stderr progress messages
`--fields name,url,...`	Select specific fields in output
`--no-color`	Disable colors
`--account "Name"`	Use a specific account for this command

Output Format

Success:

json
{"success": true, "data": {"name": "John Doe", "headline": "Engineer"}}

Error:

json
{"success": false, "error": {"type": "personNotFound", "message": "Person not found"}}

Exit code 0 means the API call succeeded – always check the success field for the action outcome. Non-zero exit codes indicate infrastructure errors:

Exit Code	Meaning
0	Success (check `success` field – action may have returned an error like "person not found")
1	General/unexpected error
2	Missing or invalid tokens
3	Subscription/plan required
4	LinkedIn account issue
5	Invalid arguments
6	Rate limited
7	Network error
8	Workflow timeout (workflowId returned for recovery)

Commands

Fetch a Person Profile

bash
linkedin person fetch <url> [flags] --json -q

Optional flags to include additional data:

--experience – work history
--education – education history
--skills – skills list
--languages – languages
--posts – recent posts (with --posts-limit N, --posts-since TIMESTAMP)
--comments – recent comments (with --comments-limit N, --comments-since TIMESTAMP)
--reactions – recent reactions (with --reactions-limit N, --reactions-since TIMESTAMP)

Only request additional data when needed – each flag increases execution time.

bash
# Basic profile
linkedin person fetch https://www.linkedin.com/in/username --json -q

# With experience and education
linkedin person fetch https://www.linkedin.com/in/username --experience --education --json -q

# With last 5 posts
linkedin person fetch https://www.linkedin.com/in/username --posts --posts-limit 5 --json -q

Search People

bash
linkedin person search [flags] --json -q

Flag	Description
`--term`	Search keyword or phrase
`--limit`	Max results
`--first-name`	Filter by first name
`--last-name`	Filter by last name
`--position`	Filter by job position
`--locations`	Comma-separated locations
`--industries`	Comma-separated industries
`--current-companies`	Comma-separated current company names
`--previous-companies`	Comma-separated previous company names
`--schools`	Comma-separated school names

bash
linkedin person search --term "product manager" --locations "San Francisco" --json -q
linkedin person search --current-companies "Google" --position "Engineer" --limit 20 --json -q

Fetch a Company

bash
linkedin company fetch <url> [flags] --json -q

Optional flags:

--employees – include employees
--dms – include decision makers
--posts – include company posts

Employee filters (require --employees):

Flag	Description
`--employees-limit`	Max employees to retrieve
`--employees-first-name`	Filter by first name
`--employees-last-name`	Filter by last name
`--employees-position`	Filter by position
`--employees-locations`	Comma-separated locations
`--employees-industries`	Comma-separated industries
`--employees-schools`	Comma-separated school names

Flag	Description
`--dms-limit`	Max decision makers to retrieve (requires `--dms`)
`--posts-limit`	Max posts to retrieve (requires `--posts`)
`--posts-since`	Posts since ISO timestamp (requires `--posts`)

bash
# Basic company info
linkedin company fetch https://www.linkedin.com/company/name --json -q

# With employees filtered by position
linkedin company fetch https://www.linkedin.com/company/name --employees --employees-position "Engineer" --json -q

# With decision makers and posts
linkedin company fetch https://www.linkedin.com/company/name --dms --posts --posts-limit 10 --json -q

Search Companies

bash
linkedin company search [flags] --json -q

Flag	Description
`--term`	Search keyword
`--limit`	Max results
`--sizes`	Comma-separated sizes: `1-10`, `11-50`, `51-200`, `201-500`, `501-1000`, `1001-5000`, `5001-10000`, `10001+`
`--locations`	Comma-separated locations
`--industries`	Comma-separated industries

bash
linkedin company search --term "fintech" --sizes "11-50,51-200" --json -q

Send a Message

bash
linkedin message send <person-url> '<text>' --json -q

Text up to 1900 characters. Wrap the message in single quotes to avoid shell interpretation issues.

bash
linkedin message send https://www.linkedin.com/in/username 'Hey, loved your latest post!' --json -q

Get Conversation

bash
linkedin message get <person-url> [--since TIMESTAMP] --json -q

The first call for a conversation triggers a background sync and may take longer. Subsequent calls are faster.

bash
linkedin message get https://www.linkedin.com/in/username --json -q
linkedin message get https://www.linkedin.com/in/username --since 2024-01-15T10:30:00Z --json -q

Connection Management

Check connection status

bash
linkedin connection status <url> --json -q

Send connection request

bash
linkedin connection send <url> [--note 'text'] [--email user@example.com] --json -q

List connections

bash
linkedin connection list [flags] --json -q

Flag	Description
`--limit`	Max connections to return
`--since`	Only connections made since ISO timestamp (only works when no filter flags are used)
`--first-name`	Filter by first name
`--last-name`	Filter by last name
`--position`	Filter by job position
`--locations`	Comma-separated locations
`--industries`	Comma-separated industries
`--current-companies`	Comma-separated current company names
`--previous-companies`	Comma-separated previous company names
`--schools`	Comma-separated school names

bash
linkedin connection list --limit 50 --json -q
linkedin connection list --current-companies "Google" --position "Engineer" --json -q
linkedin connection list --since 2024-01-01T00:00:00Z --json -q

List pending outgoing requests

bash
linkedin connection pending --json -q

Withdraw a pending request

bash
linkedin connection withdraw <url> [--no-unfollow] --json -q

By default, withdrawing also unfollows the person. Use --no-unfollow to keep following.

Remove a connection

bash
linkedin connection remove <url> --json -q

Posts

Fetch a post

bash
linkedin post fetch <url> [flags] --json -q

Flag	Description
`--comments`	Include comments
`--reactions`	Include reactions
`--comments-limit`	Max comments to retrieve (requires `--comments`)
`--comments-sort`	Sort order: `mostRelevant` or `mostRecent` (requires `--comments`)
`--comments-replies`	Include replies to comments (requires `--comments`)
`--reactions-limit`	Max reactions to retrieve (requires `--reactions`)

bash
linkedin post fetch https://www.linkedin.com/posts/username_activity-123 --json -q

# With comments sorted by most recent, including replies
linkedin post fetch https://www.linkedin.com/posts/username_activity-123 \
  --comments --comments-sort mostRecent --comments-replies --json -q

Create a post

bash
linkedin post create '<text>' [flags] --json -q

Flag	Description
`--company-url`	Post on behalf of a company page (requires admin access)
`--attachments`	Attachment as `url:type` or `url:type:name`. Types: `image`, `video`, `document`. Can be specified multiple times.

Attachment limits: up to 9 images, or 1 video, or 1 document. Cannot mix types.

bash
linkedin post create 'Excited to share our latest update!' --json -q

# With a document
linkedin post create 'Our Q4 report' \
  --attachments "https://example.com/report.pdf:document:Q4 Report" --json -q

# Post as a company
linkedin post create 'Company announcement' \
  --company-url https://www.linkedin.com/company/name --json -q

React to a post

bash
linkedin post react <url> --type <reaction> [--company-url <url>] --json -q

Reaction types: like, love, support, celebrate, insightful, funny.

bash
linkedin post react https://www.linkedin.com/posts/username_activity-123 --type like --json -q

# React on behalf of a company
linkedin post react https://www.linkedin.com/posts/username_activity-123 --type celebrate \
  --company-url https://www.linkedin.com/company/name --json -q

Comment on a post

bash
linkedin post comment <url> '<text>' [--company-url <url>] --json -q

Text up to 1000 characters.

bash
linkedin post comment https://www.linkedin.com/posts/username_activity-123 'Great insights!' --json -q

# Comment on behalf of a company
linkedin post comment https://www.linkedin.com/posts/username_activity-123 'Well said!' \
  --company-url https://www.linkedin.com/company/name --json -q

Statistics

bash
# Social Selling Index
linkedin stats ssi --json -q

# Performance analytics (profile views, post impressions, search appearances)
linkedin stats performance --json -q

# API usage for a date range
linkedin stats usage --start 2024-01-01T00:00:00Z --end 2024-01-31T00:00:00Z --json -q

Sales Navigator

Requires a LinkedIn Sales Navigator subscription. Uses hashed URLs for person/company lookups.

Fetch person

bash
linkedin navigator person fetch <hashed-url> --json -q

Search people

bash
linkedin navigator person search [flags] --json -q

Flag	Description
`--term`	Search keyword or phrase
`--limit`	Max results
`--first-name`	Filter by first name
`--last-name`	Filter by last name
`--position`	Filter by job position
`--locations`	Comma-separated locations
`--industries`	Comma-separated industries
`--current-companies`	Comma-separated current company names
`--previous-companies`	Comma-separated previous company names
`--schools`	Comma-separated school names
`--years-of-experience`	Comma-separated ranges: `lessThanOne`, `oneToTwo`, `threeToFive`, `sixToTen`, `moreThanTen`

bash
linkedin navigator person search --term "VP Marketing" --locations "United States" --json -q
linkedin navigator person search --years-of-experience "moreThanTen" --position "CEO" --json -q

Fetch company

bash
linkedin navigator company fetch <hashed-url> [flags] --json -q

Optional flags:

--employees – include employees
--dms – include decision makers

Employee filters (require --employees):

Flag	Description
`--employees-limit`	Max employees to retrieve
`--employees-first-name`	Filter by first name
`--employees-last-name`	Filter by last name
`--employees-positions`	Comma-separated positions
`--employees-locations`	Comma-separated locations
`--employees-industries`	Comma-separated industries
`--employees-schools`	Comma-separated school names
`--employees-years-of-experience`	Comma-separated experience ranges
`--dms-limit`	Max decision makers to retrieve (requires `--dms`)

bash
linkedin navigator company fetch https://www.linkedin.com/sales/company/97ural --employees --dms --json -q
linkedin navigator company fetch https://www.linkedin.com/sales/company/97ural \
  --employees --employees-positions "Engineer,Designer" --employees-locations "Europe" --json -q

Search companies

bash
linkedin navigator company search [flags] --json -q

Flag	Description
`--term`	Search keyword
`--limit`	Max results
`--sizes`	Comma-separated sizes: `1-10`, `11-50`, `51-200`, `201-500`, `501-1000`, `1001-5000`, `5001-10000`, `10001+`
`--locations`	Comma-separated locations
`--industries`	Comma-separated industries
`--revenue-min`	Min annual revenue in M USD: `0`, `0.5`, `1`, `2.5`, `5`, `10`, `20`, `50`, `100`, `500`, `1000`
`--revenue-max`	Max annual revenue in M USD: `0.5`, `1`, `2.5`, `5`, `10`, `20`, `50`, `100`, `500`, `1000`, `1000+`

bash
linkedin navigator company search --term "fintech" --sizes "11-50,51-200" --json -q
linkedin navigator company search --revenue-min 10 --revenue-max 100 --locations "United States" --json -q

Send InMail

bash
linkedin navigator message send <person-url> '<text>' --subject '<subject>' --json -q

Text up to 1900 characters. Subject up to 80 characters.

bash
linkedin navigator message send https://www.linkedin.com/in/username \
  'Would love to chat about API integrations' --subject 'Partnership Opportunity' --json -q

Get Sales Navigator conversation

bash
linkedin navigator message get <person-url> [--since TIMESTAMP] --json -q

Custom Workflows

Execute a custom workflow definition from a file, stdin, or inline:

bash
# From file
linkedin workflow run --file workflow.json --json -q

# From stdin
cat workflow.json | linkedin workflow run --json -q

# Inline
echo '{"actions":[...]}' | linkedin workflow run --json -q

Check workflow status or wait for completion:

bash
linkedin workflow status <id> --json -q
linkedin workflow status <id> --wait --json -q

See Building Workflows for the workflow JSON schema.

Account Management

bash
linkedin account list                            # List accounts (* = active)
linkedin account switch "Name"                   # Switch active account
linkedin account rename "Name" --name "New Name" # Rename account
linkedin reset                                   # Remove active account
linkedin reset --all                             # Remove all accounts

Important Behavior

Sequential execution. All operations for an account run one at a time. Multiple requests queue up.
Not instant. A real browser navigates LinkedIn – expect 30 seconds to several minutes per operation.
Timestamps in UTC. All dates and times are in UTC.
Single quotes for text arguments. Use single quotes around message text, post text, and comments to avoid shell interpretation issues with special characters.
Action limits. Per-account limits are configurable on the platform. A limitExceeded error means the limit was reached.
URL normalization. All LinkedIn URLs in responses are normalized to https://www.linkedin.com/... format without trailing slashes.
Null fields. Fields that are unavailable are returned as null or [], not omitted.

Publisher	ArabelaTso
Repository	`Skills-4-SE`
Skill name	`linkedin`
Stars	258
Forks	25
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository Homepage

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

LinkedIn Skill

Authentication

Global Flags

Output Format

Commands

Fetch a Person Profile

Search People

Fetch a Company

Search Companies

Send a Message

Get Conversation

Connection Management

Check connection status

Send connection request

List connections

List pending outgoing requests

Withdraw a pending request

Remove a connection

Posts

Fetch a post

Create a post

React to a post

Comment on a post

Statistics

Sales Navigator

Fetch person

Search people

Fetch company

Search companies

Send InMail

Get Sales Navigator conversation

Custom Workflows

Account Management

Important Behavior

Frequently asked questions

Related AI Skills

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