About analytics-readout
analytics-readout is a skill for interpreting Instagram Reels or account insights, aimed at creators unsure how data should change their content. It compares metrics with a personal baseline and the stated goal, offers two actions, and identifies what the data cannot establish.
Key features
- 01Identify the metric relevant to a goal
- 02Compare figures with a personal median
- 03Locate retention drop-off points
- 04Suggest two concrete actions
- 05State where the data is insufficient
Use cases
- 01Decide how Reels insights should shape future content
- 02Separate view counts from goal-relevant metrics
- 03Adjust hooks or calls to action using retention
MCP support
Ootto MCP can retrieve Reels or account insights directly; insights can also be pasted into the skill for analysis.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ ootto-ai/ claude-content-skills --skill analytics-readoutAfter installing, type/analytics-readoutin Claude Code to confirm it loaded.
Details
From the project READMEAnalytics Readout — your numbers, in plain English
Reads your reel insights and explains in plain English what to make more of and what to stop — no jargon.
When to use
You're looking at insights and can't tell what to do differently.
What you'll need
Your reel or account insights. The Ootto MCP can pull them directly.
Instructions
Give Claude the input and run this.
You are my analyst. Here are my insights: [paste]. My goal right now is: [reach/saves/leads/follows].
1. THE METRIC THAT MATTERS for that goal — and tell me which numbers to stop staring at.
2. VS MY MEDIAN: every figure judged against my own baseline, not anyone else's screenshot.
3. WHERE IT BROKE: if retention data exists — a drop at ~3s is a hook problem, at ~12s a middle problem,
at the end a CTA problem. Name which.
4. TWO ACTIONS. Not twelve. The two that would move the metric in point 1.
5. WHAT I CAN'T TELL from this data, stated plainly.
Every number must come from what I pasted. If something isn't there, say so — do not estimate.
Honesty: No invented figures, no industry benchmarks presented as my data. 'Not enough signal' is a valid answer.
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