linkedin-pages
Analyze LinkedIn company page (organic) performance through Windsor.ai. Use when the user asks about their LinkedIn page's organic insights — follower growth, impressions, reach, clicks, reactions, comments, shares, engagement rate, or visitor demographics by industry, job function, seniority, or company size. It can also publish a text or image post to the company page, always after the user approves the full draft. Do not use for LinkedIn Ads (those live in the LinkedIn Ads connector) or other platforms.
Install
With your agent
Install OMGSkills skill "windsor-ai/claude-windsor-ai-plugin:skills/linkedin-pages" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/windsor-ai/claude-windsor-ai-plugin /tmp/claude-windsor-ai-plugin && ln -s /tmp/claude-windsor-ai-plugin/skills/linkedin-pages ~/.claude/skills/linkedin-pagesFrom README
LinkedIn Pages via Windsor.ai Windsor.ai pulls LinkedIn organic company page insights (page and post metrics, plus visitor demographics). The connector id is linkedinorganic. Pass linkedinorganic as the connector on every tool call; the Windsor.ai server serves all connectors, so it is never implied. Reads are the main job. The connector also exposes write actions, currently createpost and createimagepost (the live set is whatever listactions returns). It has no ad or cost data (LinkedIn Ads live in the LinkedIn Ads connector, so route ad-spend questions there) and does not change page settings; say that is out of scope here. Golden rules: Never guess field, account, or option names — get them from getfields, getconnectors, and getoptions. Call those first. Publishing is public and immediate. Show the full post text (and the image URL) and call executeaction only after an explicit yes. Report what the user asked for, concisely.
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