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E-mmanuelM
E-mmanuelMCOMMUNITY
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analytics-agent

Reviews weekly LinkedIn post performance and feeds engagement patterns back to the content pipeline.

16|Updated Mar 25, 2026
Search Tags:#content strategy#analytics#supabase#linkedin#Telegram#performance review#engagement metrics
One-click install
npx skills add https://github.com/E-mmanuelM/brandcrew --skill analytics-agent-e-mmanuelm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analytics-agent
Source: https://github.com/E-mmanuelM/brandcrew/tree/main/agents/analytics
Command: npx skills add https://github.com/E-mmanuelM/brandcrew --skill analytics-agent-e-mmanuelm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Content teams often publish posts without systematically reviewing what worked, so weak patterns repeat and strong ones go unnoticed. This Skill closes that loop by reviewing weekly LinkedIn performance and feeding insights back into the content strategy pipeline. ## Core Features & Use Cases - Weekly Performance Review: Examines the last 7 days of published posts and identifies above- and below-average performers. - Pattern Extraction: Detects trends across topic types, hooks, formats, and posting times. - Strategy Feedback: Updates the content strategy stored in Supabase and sends a weekly summary to Telegram. - Use Case: After a week of LinkedIn posts, the agent reviews engagement numbers, finds that question-style hooks outperformed statement hooks, and updates the Marketing Director's strategy so next week's drafts favor that pattern. ## Quick Start Ask the analytics agent to review last week's published LinkedIn posts and summarize which topics and hooks performed best.

Frequently Asked Questions about analytics-agent

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

FAQPage Schema
How do I analyze LinkedIn post performance automatically?▼

This agent reviews the last 7 days of published posts, identifies above- and below-average performers, and extracts patterns across topics, hooks, formats, and timing. It then updates the content strategy in Supabase and sends a weekly summary to Telegram.

How to feed content performance data back into a marketing strategy?▼

The agent extracts performance patterns from published posts and writes updated strategy directly into Supabase. Downstream agents like the Marketing Director read this data to adjust the next content cycle's direction.

Does the LinkedIn API support automated analytics collection?▼

The LinkedIn API is restrictive for analytics, which is a known limitation of this agent. The current workaround is manually inputting engagement numbers via a Telegram command, with the automated input method still to be determined.

What are the limitations of this analytics agent?▼

The agent is marked as coming soon and not yet fully built. Its main constraint is LinkedIn API restrictiveness, so engagement data currently requires manual entry through Telegram rather than automatic collection.

When is the weekly performance review triggered?▼

The agent runs on a cron schedule, triggering weekly on the first posting day. It then reviews the previous 7 days of published content and delivers a summary to Telegram.

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