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Agent skill

Linkedin Automation

by davepoon in davepoon/buildwithclaude

Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads.

MITAuto-check passedProductivity & Automation

Install Linkedin Automation

skills CLI
$ npx skills add davepoon/buildwithclaude --skill linkedin-automation -a claude-code

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

GitHub CLI
$ gh skill install davepoon/buildwithclaude linkedin-automation --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/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/all-skills/skills/linkedin-automation .claude/skills/linkedin-automation && 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
linkedin-automation
GitHub stars
3.6k
Used in
7 other repos
Token cost
~1.6k tokens
SKILL.md length
771 words
Files
1
Skills in repo
246
Repo updated
First seen
Licence
MIT

At a glance

Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads.

  • Works in 5 steps: Create a LinkedIn Post → Get Profile Information → Manage Post Images → …
  • Tasks that involve App automation through connectors
  • SKILL.md covers Prerequisites, Setup, Core Workflows and Common Patterns, plus 2 more sections
  • Reaches rube.app

What it does

Linkedin Automation is an agent skill from davepoon/buildwithclaude. Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering App automation through connectors. It works with LinkedIn and Composio. The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

When your agent uses it

  • Tasks that involve App automation through connectors

Example prompts

  • “/linkedin-automation”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Create a LinkedIn Post
  2. Get Profile Information
  3. Manage Post Images
  4. Comment on Posts
  5. Delete a Post

What it can do on your machine

Read from SKILL.md and the folder at commit 616deb5. 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

    Hosts in commands or code, which the agent is likely to contact:

    • rube.app

    Also links to:

    • composio.dev

    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

Linkedin Automation loads about 1.6k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 771 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 davepoon/buildwithclaude at commit 616deb5, republished under its MIT licence (© davepoon). 771 words, ~1,627 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-automation/SKILL.md (or your agent's skills folder).
name
linkedin-automation
description
Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Always search tools first for current schemas.
requires.mcp
rube
category
social-media

LinkedIn Automation via Rube MCP

Automate LinkedIn operations through Composio's LinkedIn toolkit via Rube MCP.

Toolkit docs: composio.dev/toolkits/linkedin

Prerequisites

  • Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
  • Active LinkedIn connection via RUBE_MANAGE_CONNECTIONS with toolkit linkedin
  • Always call RUBE_SEARCH_TOOLS first to get current tool schemas

Setup

Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.

  1. Verify Rube MCP is available by confirming RUBE_SEARCH_TOOLS responds
  2. Call RUBE_MANAGE_CONNECTIONS with toolkit linkedin
  3. If connection is not ACTIVE, follow the returned auth link to complete LinkedIn OAuth
  4. Confirm connection status shows ACTIVE before running any workflows

Core Workflows

1. Create a LinkedIn Post

When to use: User wants to publish a text post on LinkedIn

Tool sequence:

  1. LINKEDIN_GET_MY_INFO - Get authenticated user's profile info [Prerequisite]
  2. LINKEDIN_REGISTER_IMAGE_UPLOAD - Register image upload if post includes an image [Optional]
  3. LINKEDIN_CREATE_LINKED_IN_POST - Publish the post [Required]

Key parameters:

  • text: Post content text
  • visibility: 'PUBLIC' or 'CONNECTIONS'
  • media_title: Title for attached media
  • media_description: Description for attached media

Pitfalls:

  • Must retrieve user profile URN via GET_MY_INFO before creating a post
  • Image uploads require a two-step process: register upload first, then include the asset in the post
  • Post text has character limits enforced by LinkedIn API
  • Visibility defaults may vary; always specify explicitly
2. Get Profile Information

When to use: User wants to retrieve their LinkedIn profile or company details

Tool sequence:

  1. LINKEDIN_GET_MY_INFO - Get authenticated user's profile [Required]
  2. LINKEDIN_GET_COMPANY_INFO - Get company page details [Optional]

Key parameters:

  • No parameters needed for GET_MY_INFO (uses authenticated user)
  • organization_id: Company/organization ID for GET_COMPANY_INFO

Pitfalls:

  • GET_MY_INFO returns the authenticated user only; cannot look up other users
  • Company info requires the numeric organization ID, not the company name or vanity URL
  • Some profile fields may be restricted based on OAuth scopes granted
3. Manage Post Images

When to use: User wants to upload and attach images to LinkedIn posts

Tool sequence:

  1. LINKEDIN_REGISTER_IMAGE_UPLOAD - Register an image upload with LinkedIn [Required]
  2. Upload the image binary to the returned upload URL [Required]
  3. LINKEDIN_GET_IMAGES - Verify uploaded image status [Optional]
  4. LINKEDIN_CREATE_LINKED_IN_POST - Create post with the image asset [Required]

Key parameters:

  • owner: URN of the image owner (user or organization)
  • image_id: ID of the uploaded image for GET_IMAGES

Pitfalls:

  • The upload is a two-phase process: register then upload binary
  • Image asset URN from registration must be used when creating the post
  • Supported formats typically include JPG, PNG, and GIF
  • Large images may take time to process before they are available
4. Comment on Posts

When to use: User wants to comment on an existing LinkedIn post

Tool sequence:

  1. LINKEDIN_CREATE_COMMENT_ON_POST - Add a comment to a post [Required]

Key parameters:

  • post_id: The URN or ID of the post to comment on
  • text: Comment content
  • actor: URN of the commenter (user or organization)

Pitfalls:

  • Post ID must be a valid LinkedIn URN format
  • The actor URN must match the authenticated user or a managed organization
  • Rate limits apply to comment creation; avoid rapid-fire comments
Show full SKILL.md (269 more words)Show less
5. Delete a Post

When to use: User wants to remove a previously published LinkedIn post

Tool sequence:

  1. LINKEDIN_DELETE_LINKED_IN_POST - Delete the specified post [Required]

Key parameters:

  • post_id: The URN or ID of the post to delete

Pitfalls:

  • Deletion is permanent and cannot be undone
  • Only the post author or organization admin can delete a post
  • The post_id must be the exact URN returned when the post was created

Common Patterns

ID Resolution

User URN from profile:

1. Call LINKEDIN_GET_MY_INFO
2. Extract user URN (e.g., 'urn:li:person:XXXXXXXXXX')
3. Use URN as actor/owner in subsequent calls

Organization ID from company:

1. Call LINKEDIN_GET_COMPANY_INFO with organization_id
2. Extract organization URN for posting as a company page
Image Upload Flow
  • Call REGISTER_IMAGE_UPLOAD to get upload URL and asset URN
  • Upload the binary image to the provided URL
  • Use the asset URN when creating a post with media
  • Verify with GET_IMAGES if upload status is uncertain

Known Pitfalls

Authentication:

  • LinkedIn OAuth tokens have limited scopes; ensure required permissions are granted
  • Tokens expire; re-authenticate if API calls return 401 errors

URN Formats:

  • LinkedIn uses URN identifiers (e.g., 'urn:li:person:ABC123')
  • Always use the full URN format, not just the alphanumeric ID portion
  • Organization URNs differ from person URNs

Rate Limits:

  • LinkedIn API has strict daily rate limits on post creation and comments
  • Implement backoff strategies for bulk operations
  • Monitor 429 responses and respect Retry-After headers

Content Restrictions:

  • Posts have character limits enforced by the API
  • Some content types (polls, documents) may require additional API features
  • HTML markup in post text is not supported

Quick Reference

TaskTool SlugKey Params
Get my profileLINKEDIN_GET_MY_INFO(none)
Create postLINKEDIN_CREATE_LINKED_IN_POSTtext, visibility
Get company infoLINKEDIN_GET_COMPANY_INFOorganization_id
Register image uploadLINKEDIN_REGISTER_IMAGE_UPLOADowner
Get uploaded imagesLINKEDIN_GET_IMAGESimage_id
Delete postLINKEDIN_DELETE_LINKED_IN_POSTpost_id
Comment on postLINKEDIN_CREATE_COMMENT_ON_POSTpost_id, text, actor

Powered by Composio

© davepoon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/all-skills/skills/linkedin-automation of davepoon/buildwithclaude.

Open the folder on GitHubat commit 616deb5

Used in 7 other repositories

We found 17 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 7 other GitHub owners. This page covers the copy in davepoon/buildwithclaude, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Linkedin Automation 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.

Linkedin Automation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Automation this skilldavepoon/buildwithclaude3.6k7 repos~1.6kAutomated safety check: PassMIT
Composioyc-software/qm15k—~1.6kAutomated safety check: PassMIT
Connect Apps with ComposioComposioHQ/awesome-claude-skills77k3 repos~557Automated safety check: PassNone
Abuselpdb AutomationComposioHQ/awesome-claude-skills77k3 repos~738Automated safety check: PassNone
Accredible Certificates AutomationComposioHQ/awesome-claude-skills77k3 repos~790Automated safety check: PassNone
Composio Cloud Toolsquarqlabs/argus279—~543Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Linkedin Automation

What does Linkedin Automation do?

Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads. Linkedin Automation is an agent skill from davepoon/buildwithclaude. Automate LinkedIn tasks via Rube MCP (Composio): create posts, manage profile, company info, comments, and image uploads.

When should I use Linkedin Automation?

Linkedin Automation fits situations like: tasks that involve App automation through connectors.

How do I install Linkedin Automation in Claude Code?

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

How do I install Linkedin Automation in Codex?

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

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

What does Linkedin Automation need to run?

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

Does Linkedin Automation access the network?

SKILL.md names 2 domains. In commands or code: rube.app; the agent is likely to contact it when it follows the instructions. As links in the text: composio.dev. This is read from the text; nothing was executed.

Is Linkedin Automation 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 Linkedin Automation use?

Linkedin Automation 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 Linkedin Automation use?

About 1.6k tokens (SKILL.md is roughly 6.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Linkedin Automation?

Skills that share tags, products or a category with Linkedin Automation: Composio (yc-software/qm, 15k stars), Connect Apps with Composio (ComposioHQ/awesome-claude-skills, 77k stars), Abuselpdb Automation (ComposioHQ/awesome-claude-skills, 77k stars) and Accredible Certificates Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Automation?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,605 GitHub stars. The repository holds 246 skills in this directory. The repository was last updated on October 9, 2026.

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