Social Analytics Skill

Generate engagement reports and summaries from multi-platform social media activity.

Platforms Supported

• •Twitter/X: API v2, fetch tweets, replies, engagement metrics
• •Facebook: Graph API, post performance, reach, comments
• •Instagram: Graph API, likes, comments, follower growth

Workflow

1. •Fetch metrics from each platform via MCP
2. •Aggregate by date, post type, engagement rate
3. •Analyze:
   • •Best performing content (engagement, reach, conversion)
   • •Audience growth trends
   • •Engagement rate vs historical average
   • •Content gaps or opportunities
4. •Report to /Social/Analytics_YYYY-MM-DD.md

Output Format

# Social Media Summary - Week of YYYY-MM-DD

## Performance Overview
- Total impressions: X
- Total engagements: X
- Average engagement rate: X%

## By Platform
### Twitter/X
- Tweets posted: N
- Top tweet: [content] (X retweets, Y likes)
- Follower change: +Z

### Facebook
- Posts: N
- Best post: [content] (X reactions, Y comments)
- Reach: X

### Instagram
- Posts: N
- Average likes: X
- Top post: [content] (X likes, Y comments)

## Insights
- [Top performing content type]
- [Best time to post]
- [Engagement trends]

## Recommendations
- Post more about [topic]
- Test [format]
- Engage with [audience segment]

Script Location

~/.claude/skills/social-analytics/scripts/fetch_analytics.py

References

• •references/platform_apis.md - API endpoints and auth
• •references/engagement_metrics.md - Metric definitions