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linkedin-analytics

Analyze LinkedIn post and account performance and manage engagement through Publora APIs.

47|5|Updated Mar 24, 2026
Search Tags:#social media#analytics#mcp#engagement#linkedin#rest api#publora
One-click install
npx skills add https://github.com/publora/skills --skill linkedin-analytics-publora
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: linkedin-analytics
Source: https://github.com/publora/skills/tree/main/.codex-marketplace/publora-skills/skills/linkedin-analytics
Command: npx skills add https://github.com/publora/skills --skill linkedin-analytics-publora

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? LinkedIn performance data and engagement actions are scattered across platform-specific APIs with strict URN formats, rate limits, and caching behavior. This Skill teaches an agent how to query post and account statistics through the Publora REST API and perform reactions, comments, and reshares through MCP tools, without hand-building each integration. ## Core Features & Use Cases - Post and Account Statistics: Query impressions, members reached, reactions, comments, reshares, and follower growth via REST endpoints like /linkedin-post-statistics and /linkedin-followers. - Engagement Actions: Create or delete reactions (LIKE, PRAISE, EMPATHY, and more), post comments up to 1,250 characters, reshare posts with commentary, and resolve @mention names to URNs via MCP tools. - Use Case: Run a weekly performance review asking which posts performed best, how engagement rate trended, and how follower count grew, then react and comment on a colleague's post in the same session. ## Quick Start Ask your agent to analyze your LinkedIn performance for the last 7 days, showing top posts, engagement trends, and follower growth.

Frequently Asked Questions about linkedin-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get LinkedIn post analytics through an API?▼

Call the Publora REST endpoint POST /linkedin-post-statistics with your platformId, the post URN, and queryTypes such as IMPRESSION, REACTION, or ALL. Authenticate with the x-publora-key header; analytics are not exposed as MCP tools.

How to react or comment on a LinkedIn post programmatically?▼

Use the linkedin_create_reaction MCP tool with a reactionType like LIKE or PRAISE, or linkedin_create_comment with text up to 1,250 characters. Both require the post URN and platform connection ID.

Why does LinkedIn analytics return incomplete data right after posting?▼

LinkedIn analytics can take up to 24 hours to fully populate, so querying immediately after posting returns partial numbers. Responses may also be cached, indicated by a cached field in the response.

What URN format does the LinkedIn API require for posts?▼

The API requires urn:li:share: or urn:li:ugcPost: formats, not the urn:li:activity: IDs found in feed URLs. Use the postedId returned by Publora's get_post response rather than hand-converting activity IDs.

Can I use this skill to create LinkedIn posts?▼

No, this skill covers analytics and engagement only. For creating LinkedIn posts, multi-image grids, PDF documents, or @mentions, use the separate linkedin-post skill.

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