apify-content-analytics
Extracts social media engagement analytics using Apify actors.
Install
mkdir -p .claude/skills/apify-content-analytics && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15655" && unzip -o skill.zip -d .claude/skills/apify-content-analytics && rm skill.zipInstalls to .claude/skills/apify-content-analytics
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.Key capabilities
- →Identify appropriate Apify Actors for specific content analytics needs
- →Fetch Actor schema and details dynamically using mcpc
- →Ask user preferences for output format and number of results
- →Run analytics scripts to collect cross-platform content performance data
- →Summarize findings including key performance insights and suggested next steps
- →Handle common errors like missing APIFY_TOKEN or mcpc not found
How it works
The skill uses Apify Actors to extract engagement metrics from social media platforms. It identifies the correct Actor, fetches its schema, prompts the user for output preferences, runs the script, and then summarizes the collected data.
Inputs & outputs
When to use apify-content-analytics
- →Analyzing post engagement
- →Tracking follower growth
- →Measuring campaign ROI
- →Exporting social media analytics
About apify-content-analytics
Utilizes Apify actors to fetch metrics like likes, comments, and follower growth across social platforms. Interprets data to provide actionable performance insights.
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
When not to use it
- →When the user needs to perform tasks unrelated to content analytics using Apify Actors
- →When the user wants to manually collect data from social media platforms
- →When the user does not have an Apify token or Node.js installed
Prerequisites
Limitations
- →APIFY_TOKEN not found - Ask user to create .env with APIFY_TOKEN=your_token
- →mcpc not found - Ask user to install npm install -g @apify/mcpc
- →Actor not found - Check Actor ID spelling
How it compares
This skill automates the collection and interpretation of social media content analytics using Apify Actors, providing structured data and insights more efficiently than manual data gathering.
Compared to similar skills
apify-content-analytics side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| apify-content-analytics (this skill) | 0 | 5mo | Review | Intermediate |
| segment-cdp | 2 | 8mo | No flags | Intermediate |
| databuddy | 1 | 4mo | Caution | Intermediate |
| analytics-pipeline | 1 | 7mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by wAyNecheRui
View all by wAyNecheRui →You might also like
segment-cdp
davila7
Expert patterns for Segment Customer Data Platform including Analytics.js, server-side tracking, tracking plans with Protocols, identity resolution, destinations configuration, and data governance best practices. Use when: segment, analytics.js, customer data platform, cdp, tracking plan.
databuddy
databuddy-analytics
Integrate Databuddy analytics into applications using the SDK or REST API. Use when implementing analytics tracking, feature flags, custom events, Web Vitals, error tracking, LLM observability, or querying analytics data programmatically.
analytics-pipeline
dadbodgeoff
Real-time analytics with Redis counters, periodic PostgreSQL flush, and time-series aggregation. High-performance event tracking without database bottlenecks.
groq-cost-tuning
jeremylongshore
Optimize Groq costs through tier selection, sampling, and usage monitoring. Use when analyzing Groq billing, reducing API costs, or implementing usage monitoring and budget alerts. Trigger with phrases like "groq cost", "groq billing", "reduce groq costs", "groq pricing", "groq expensive", "groq budget".
langfuse-cost-tuning
jeremylongshore
Monitor and optimize LLM costs using Langfuse analytics and dashboards. Use when tracking LLM spending, identifying cost anomalies, or implementing cost controls for AI applications. Trigger with phrases like "langfuse costs", "LLM spending", "track AI costs", "langfuse token usage", "optimize LLM budget".
logging-best-practices
neondatabase
Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics