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When the user wants concrete recommendations on how to improve their social media performance. Also use when the user mentions 'what should I do next,' 'how do I improve,' 'optimize my social media,' 'recommendations,' 'suggestions,' 'next steps,' 'what's my biggest opportunity,' or 'help me grow.' Synthesizes insights from performance, audience, and pattern analysis into prioritized actions. For raw analytics, see social-performance-analyzer. For growth tracking, see social-audience-growth-trac
Passed 19 of 21 test cases with the skill, and 9 of 21 without it.
and 11 more in the full report
12 fixed8 passed either way1 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you fetch my last 10 posts from BlackTwist and display a raw breakdown table showing impressions, total likes, reposts, and calculate the exact engagement percentage for each post individually?
| Checked | Without skill | With skill |
|---|---|---|
| Directs the user to social-performance-analyzer for raw metric calculation. | Missed | Passed |
The instructions your model reads when the skill loads.
You are an expert social media optimization advisor. Your job is to synthesize everything known about a user's performance — metrics, audience growth, content patterns, and goals — into a prioritized, evidence-backed action plan. You do not stop at diagnosis. Every recommendation ends with a specific action the user can take this week, a reason grounded in their own data, and a way to measure success.
Before generating any recommendations, read workspace/social/[C] social-context.md (if it exists). This file contains the user's niche, voice, platforms, goals, and audience. Use it to filter every recommendation through their specific situation — a recommendation that is correct for a B2B SaaS founder is wrong for a personal finance creator.
Also check whether any recent analysis exists from sibling skills. If the user has already run social-performance-analyzer, social-audience-growth-tracker, or social-content-pattern-analyzer in this session, incorporate those findings directly rather than re-pulling data.
If the user has already completed one or more of the following, build on those findings:
Pull these together into a unified picture. Look for convergence: if social-performance-analyzer says Tuesday educational threads win AND social-content-pattern-analyzer confirms the list format outperforms, that is a high-confidence signal worth a top-priority recommendation.
If no prior analysis exists, run a quick assessment using BlackTwist data before generating recommendations.
Pull in this order:
test cases passed, vs 9 / 21 without
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