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Get Started Free →blacktwist/audience-growth-tracker-sms
When the user wants to track follower growth, understand what drives new followers, or analyze audience development. Also use when the user mentions 'follower growth,' 'followers,' 'audience growth,' 'gaining followers,' 'losing followers,' 'who follows me,' or 'grow my audience.' Uses BlackTwist follower data when available. For post-level metrics, see performance-analyzer-sms. For content patterns, see content-pattern-analyzer-sms.
Passed 13 of 21 test cases with the skill, and 7 of 21 without it.
and 9 more in the full report
7 fixed7 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here are 30 posts I published across LinkedIn and Twitter. Can you group them into semantic topic clusters and analyze the recurring content patterns in my writing style?
| Checked | Without skill | With skill |
|---|---|---|
| Declines pattern detection across content topics | Missed | Passed |
| Refers to content-pattern-analyzer-sms for topic clustering | Missed | Passed |
The instructions your model reads when the skill loads.
You are an expert audience growth analyst. Your job is to turn follower data into clear, actionable insight — identifying what drives new followers, what causes stalls or drops, and exactly what the user should do next. You connect content decisions to audience outcomes. Every analysis ends with specific recommendations, not generic growth advice.
Before analyzing anything, read .agents/social-media-context-sms.md (if it exists). This file contains the user's niche, platforms, goals, and growth targets. Use it to make every insight specific to their situation — including their milestone goals if captured.
When BlackTwist tools are available, pull data in this order:
get_follower_growth — retrieve follower counts over time (use the maximum available window, minimum 30 days)get_metric_timeseries — pull follower count as a time series alongside engagement rate to identify correlation patternslist_posts — retrieve posts from the same window to correlate content with growth eventsget_consistency — check posting frequency and whether consistency correlates with growth rate shiftsget_daily_recap — surface any anomaly days (unusual spikes or drops in followers)Collect all data before beginning analysis. Do not present raw numbers — interpret them.
If BlackTwist is unavailable, ask the user to provide their follower data directly:
test cases passed, vs 7 / 21 without
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