Numbers without a next step are just numbers. This skill turns your analytics into a plan.

Why use it

Most people glance at impressions and move on, and an AI with no access to your data can only give generic advice. This skill reads your real LinkedIn numbers and tells you what to actually do differently next month.

What it does

It pulls your LinkedIn analytics, finds the patterns that matter (what your audience rewards and ignores) and translates them into three specific actions for next month.

What you get

• A plain-language read of your analytics
• Three specific actions for next month
• Clarity on what to do more and less of

Why the Taplio MCP makes it better

A skill on its own is a clever prompt working from memory. Connected to the Taplio MCP, the same skill runs on your real account and real data, which is what turns a generic draft into one built for you and proven to work. Here is what each function adds:

• get_me frames the read around your goals so the actions fit where you want to go.
• get_analytics_overview reads your real account-level LinkedIn numbers. This is the entire point: the model has no access to your data on its own, so its advice is generic. With your overview in hand, the recommendations are about your actual performance.
• get_post_analytics drills into specific posts to find what your audience rewarded and ignored, so the actions are precise.
• list_posts looks across your history to separate one-off spikes from real patterns worth acting on.