Social Performance Analyzer

Social analytics report

by Ootto-AI · MIT license · ★ 139 on GitHub

Social analytics report cover

Use when you need to turn supplied social performance data into a decision about what to keep, test, change, or stop. Trigger phrases include "report on this campaign", "what worked on social?", "analyse these post results", "make a…

---
name: social-analytics-report
description: Use when you need to turn supplied social performance data into a decision about what to keep, test, change, or stop. Trigger phrases include "report on this campaign", "what worked on social?", "analyse these post results", "make a weekly social report", and "what should we do next from these metrics?". Do not use this to invent data access, claim causation from a dashboard, or replace a campaign brief; use campaign-brief to define success before launch and launch-retrospective for the broader after-action review.
---

# Social Analytics Report

Make an honest operational report from the metrics the team actually has, with context, uncertainty, and a next decision.

## 1. Establish what the data can answer

Ask for the date range, channels, posts or campaigns, metric definitions, collection method, target or baseline, and any known changes in spend, audience, format, or distribution. If definitions differ across channels, do not silently compare the raw totals.

## 2. Check the data before interpreting it

Identify missing rows, partial reporting windows, duplicate posts, changed tracking, or metrics collected at different ages. Label the report's data boundary. Separate direct observations from hypotheses about why something happened.

## 3. Read outcomes against the intended job

Overview

Make an honest operational report from the metrics the team actually has, with context, uncertainty, and a next decision.

Manual install (npx, ZIP)
Claude Codenpx skills add Ootto-AI/claude-content-skills --skill social-analytics-report -g -a claude-code
Claude Code (degit)npx degit Ootto-AI/claude-content-skills/skills/social-analytics-report#main ~/.claude/skills/social-analytics-report
Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

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Social Analytics Report

Make an honest operational report from the metrics the team actually has, with context, uncertainty, and a next decision.

1. Establish what the data can answer

Ask for the date range, channels, posts or campaigns, metric definitions, collection method, target or baseline, and any known changes in spend, audience, format, or distribution. If definitions differ across channels, do not silently compare the raw totals.

2. Check the data before interpreting it

Identify missing rows, partial reporting windows, duplicate posts, changed tracking, or metrics collected at different ages. Label the report's data boundary. Separate direct observations from hypotheses about why something happened.

3. Read outcomes against the intended job

Group results by the job each post or channel was assigned: awareness, education, discussion, qualified traffic, conversion assistance, or creator partnership learning. Compare like with like. Look for repeatable patterns in message, format, audience context, and distribution rather than choosing one winner by impressions.

4. Recommend the next smallest test

Return a decision table: observation, confidence, likely explanation, action, owner, and evidence needed next. State what not to conclude. Recommend a bounded test that preserves the campaign claim and measurement method so the next report can actually compare it.

Hard rules

  • Never claim causation from correlation or a single post.
  • Do not compare unlike metrics, date windows, paid and organic activity, or posts at different maturity without saying so.
  • Keep raw data, calculated rates, and interpretation distinguishable.
  • Do not hide low-performing or incomplete data to make a narrative look cleaner.
  • Never fabricate access to native analytics, ad accounts, or conversion systems.

Failure modes

Failure Do this instead
A high-impression post is declared successful Judge it against the job and downstream evidence it was intended to influence.
A report lists metrics but makes no decision End with one keep, one test, one change, and their owners.
Platform totals are compared as if identical Normalize the question or report each channel separately.
The team changes five things at once Choose the smallest observable test and hold other conditions steady where possible.

Where it sits

Use campaign-brief and utm-campaign-plan before publishing so the report has a decision and attribution plan. Use this skill during a campaign for operating reviews. Use launch-retrospective after the reporting window to combine results, qualitative evidence, and process lessons.

1---
2name: social-analytics-report
3description: Use when you need to turn supplied social performance data into a decision about what to keep, test, change, or stop. Trigger phrases include "report on this campaign", "what worked on social?", "analyse these post results", "make a weekly social report", and "what should we do next from these metrics?". Do not use this to invent data access, claim causation from a dashboard, or replace a campaign brief; use campaign-brief to define success before launch and launch-retrospective for the broader after-action review.
4---
5 
6# Social Analytics Report
7 
8Make an honest operational report from the metrics the team actually has, with context, uncertainty, and a next decision.
9 
10## 1. Establish what the data can answer
11 
12Ask for the date range, channels, posts or campaigns, metric definitions, collection method, target or baseline, and any known changes in spend, audience, format, or distribution. If definitions differ across channels, do not silently compare the raw totals.
13 
14## 2. Check the data before interpreting it
15 
16Identify missing rows, partial reporting windows, duplicate posts, changed tracking, or metrics collected at different ages. Label the report's data boundary. Separate direct observations from hypotheses about why something happened.
17 
18## 3. Read outcomes against the intended job
19 
20Group results by the job each post or channel was assigned: awareness, education, discussion, qualified traffic, conversion assistance, or creator partnership learning. Compare like with like. Look for repeatable patterns in message, format, audience context, and distribution rather than choosing one winner by impressions.
21 
22## 4. Recommend the next smallest test
23 
24Return a decision table: observation, confidence, likely explanation, action, owner, and evidence needed next. State what not to conclude. Recommend a bounded test that preserves the campaign claim and measurement method so the next report can actually compare it.
25 
26## Hard rules
27 
28- Never claim causation from correlation or a single post.
29- Do not compare unlike metrics, date windows, paid and organic activity, or posts at different maturity without saying so.
30- Keep raw data, calculated rates, and interpretation distinguishable.
31- Do not hide low-performing or incomplete data to make a narrative look cleaner.
32- Never fabricate access to native analytics, ad accounts, or conversion systems.
33 
34## Failure modes
35 
36| Failure | Do this instead |
37| --- | --- |
38| A high-impression post is declared successful | Judge it against the job and downstream evidence it was intended to influence. |
39| A report lists metrics but makes no decision | End with one keep, one test, one change, and their owners. |
40| Platform totals are compared as if identical | Normalize the question or report each channel separately. |
41| The team changes five things at once | Choose the smallest observable test and hold other conditions steady where possible. |
42 
43## Where it sits
44 
45Use campaign-brief and utm-campaign-plan before publishing so the report has a decision and attribution plan. Use this skill during a campaign for operating reviews. Use launch-retrospective after the reporting window to combine results, qualitative evidence, and process lessons.
46 
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Details

License
MIT
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★ 139
Checked
Source
Ootto-AI/claude-content-skills ↗
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Ootto-AI · 36 listings
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