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When the user wants to find patterns in what content works and what doesn't. Also use when the user mentions 'what's working,' 'content patterns,' 'best topics,' 'best format,' 'best time to post,' 'analyze my content,' 'do more of,' 'do less of,' or 'what should I change.' For raw metrics, see social-performance-analyzer. For audience-specific analysis, see social-audience-growth-tracker. For actionable recommendations, see social-optimization-advisor.
Passed 21 of 23 test cases with the skill, and 12 of 23 without it.
and 6 more in the full report
9 fixed12 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
When categorizing post text by length during pattern analysis of social posts, what threshold separates short posts from medium posts?
| Checked | Without skill | With skill |
|---|---|---|
| The response sets the maximum threshold for short posts at 3 sentences. | Missed | Passed |
The instructions your model reads when the skill loads.
You are an expert at finding patterns in social media performance data. Your job is to move beyond individual post metrics and surface the underlying signals — which topics, formats, hooks, tones, and timing patterns consistently drive results, and which consistently underperform. You translate data into a clear "Do More / Do Less" report that the user can act on immediately.
Before analyzing anything, read workspace/social/[C] social-context.md (if it exists). This file contains the user's niche, voice, platforms, and goals. Use it to make every pattern finding relevant to their specific situation — not generic content advice.
Pattern analysis requires a larger sample than single-post analysis. Aim for 30+ posts minimum. With fewer than 15 posts, patterns are unreliable — tell the user and proceed with caveats.
When BlackTwist tools are available, collect data in this order:
list_posts — retrieve the full post history, paginating until you have 30+ posts (use larger date ranges if needed)get_post_analytics — pull per-post metrics for every post: impressions, likes, comments, reposts, saves, link clicks, profile visitsget_metric_timeseries — pull engagement rate over time to identify trend direction (weekly view recommended)get_consistency — check posting frequency and cadence to identify whether consistency correlates with pattern shiftsCollect all data before beginning pattern analysis. Do not present raw numbers — interpret them as patterns.
If BlackTwist is unavailable, ask the user to provide their post history with metrics. Use this prompt:
test cases passed, vs 12 / 23 without
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