optimization-advisor-sms

Synthesizes social media analytics into prioritized, evidence-backed optimization recommendations.

Updated Jun 7, 2026
One-click install
npx skills add https://github.com/Bigdrops/Bigdrops-carousel --skill optimization-advisor-sms-bigdrops
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: optimization-advisor-sms
Source: https://github.com/Bigdrops/Bigdrops-carousel/tree/main/.agents/skills/optimization-advisor-sms
Command: npx skills add https://github.com/Bigdrops/Bigdrops-carousel --skill optimization-advisor-sms-bigdrops

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Turning raw social media analytics into concrete next steps is hard — users often have performance data but no clear idea what to change. This Skill converts metrics, audience growth, and content patterns into a prioritized action plan with quick wins, strategic shifts, experiments, and things to stop doing. ## Core Features & Use Cases - Prioritized Action Plan: Organizes recommendations into four tiers — Quick Wins, Strategic Shifts, Experiments, and Things to Stop — each backed by the user's own data with expected impact and measurement criteria. - Multi-Source Synthesis: Incorporates findings from sibling analysis skills (performance, audience growth, content patterns) or pulls fresh data via BlackTwist tools like list_posts, get_post_analytics, and get_follower_growth. - Confidence Calibration: Flags recommendations based on small sample sizes or user-provided data so weak signals are treated as experiments, not confirmed patterns. - Use Case: A creator asks "what should I do next to grow?" The Skill reviews their last 30 posts, finds that stat-led hooks average 3x baseline engagement, and delivers a numbered plan with a top-priority change. ## Quick Start Ask the assistant to analyze my recent social media performance and give me a prioritized optimization plan with quick wins and experiments.

Frequently Asked Questions about optimization-advisor-sms

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get actionable social media recommendations from my analytics?

Ask for an optimization plan after running performance or audience analysis. The Skill synthesizes those findings into a numbered action plan with quick wins, strategic shifts, experiments, and behaviors to stop, each citing your own data.

What data does the optimization advisor need to give recommendations?

It works best with prior analysis from performance, growth, or pattern skills, or it pulls the last 30 posts, per-post analytics, and follower growth via BlackTwist. Without data access, it asks you to share your best and worst posts, posting frequency, and goals.

Does this skill work without BlackTwist connected?

Yes, but with reduced confidence. It prompts you to manually share top and bottom posts, posting frequency, and your primary goal, then flags all resulting recommendations as lower-confidence since they lack pulled analytics.

How are social media recommendations prioritized?

Recommendations are ordered by implementation effort: quick wins under one hour first, then strategic shifts taking 2-4 weeks, then structured experiments with hypotheses and success criteria, and finally evidence-backed things to stop doing.

What are the limitations of this optimization advisor?

It does not pull raw metrics, track follower growth, detect content patterns, or write content — those belong to sibling skills. It also avoids generic advice; every recommendation must reference your own data or stated context.