Collect social media performance data via API calls and generate AI-based reports.
npx skills add https://github.com/teodorboev/socialai --skill analytics-teodorboev
Please help me install this Agent Skill. Skill: analytics Source: https://github.com/teodorboev/socialai/tree/main/.opencode/skills/analytics Command: npx skills add https://github.com/teodorboev/socialai --skill analytics-teodorboev
This Skill automates the collection, analysis, and reporting of social media performance data, providing actionable insights to improve content strategy and engagement.
Analyze the past 7 days of social media performance data and generate a weekly report.
High-intent search queries and answers about installing and using this skill.
Automated social media analytics reporting uses API calls to collect performance metrics hourly or daily across platforms, then applies LLM-based analysis to identify trends and generate reports. This eliminates manual data gathering and provides AI-powered recommendations for content strategy.
AI-powered social media performance analysis uses large language models to evaluate collected metrics, identify top and underperforming content, and track engagement trends. It processes data gathered from platform APIs and translates metric fluctuations into actionable content and strategy recommendations.
Yes, automated data collection gathers performance metrics like follower growth and engagement rates from platforms including Instagram, TikTok, and Twitter. It requires connecting to platform APIs to pull data hourly or daily for continuous tracking and AI analysis.
To generate weekly social media reports, the skill analyzes the past 7 days of collected performance data using LLM-based analysis. It identifies content trends and generates a report containing actionable recommendations on what content types resonate best and optimal posting times.
The best way to direct insights to content and strategy agents is through an automated feedback loop. After AI analysis generates performance recommendations, the insights are routed directly to Content Creator, Strategy, and Publisher agents to optimize future content.
Yes, you need API access to collect performance metrics for AI social media insights. The data collection process requires making API calls to various social media platforms to gather the hourly or daily metrics required for LLM-based analysis and reporting.
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