Find patterns in post performance
analyze-performanceskillsetup L1★81
techwolf-ai/ai-first-toolkit ↗What it does
Analyze post engagement to identify content patterns and successes
Best for
Optimizing content strategy when you have a portfolio of published posts with known performance.
Inputs
- · published posts with engagement metrics (reactions, views, comments)
Outputs
- · performance summary (by tier)
- · pattern analysis
- · recommendations for future content
Requires
- · scripts/print-published.sh
- · optional statistical analysis
Preconditions
Published posts exist; engagement data available
Failure modes
- · Engagement data incomplete (recent posts still accumulating)
- · Recency bias (newer posts skew distribution)
- · Correlation claimed as causation
Trust signals
- · Analysis cites specific posts by title and reaction count
- · Distinguishes high/medium/low performer tiers with numerical bounds
- · Explicitly names recency bias as a confound