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Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsContent Analytics Evidence Mapper
Turn supplied content metrics into comparable evidence and one controlled experiment—without pretending correlation proves impact.
$11
Content Analytics Evidence Mapper
Example session with this skill installed
Analyze this content table and compare format using engagement_rate = engagements / impressions × 100. Hold platform, account, audience state, and the 48-hour exposure window constant. I want one testable next experiment, not a prediction.
- Read your context and instructions
- Compiled the content analytics evidence
Demonstration Output
VERDICT: DESCRIPTIVE_ONLY
The fictional matched cohort contains two short-video items and two static-image items. Median engagement rate is 4.25% for short video and 3.00% for static image, a calculated difference of 1.25 percentage points in this supplied window.
DECISION: DESCRIPTIVE_ONLY
├─ Metric: engagements / impressions × 100
├─ Comparable stratum: same fictional platform, account, audience state, 48h
│ ├─ short-video: n=2, median=4.25%, range=4.00–4.50%
│ ├─ static-image: n=2, median=3.00%, range=3.00–3.00%
│ └─ observed difference: +1.25 points for short-video; not causal
├─ Limitation: small selected sample; representativeness unknown
└─ Proposed test: change format only and retain the same topic and publish slot
Next action: run the proposed one-variable test across the declared observation window and evaluate the same formula. No future reach, conversion, sales, or algorithm claim is produced.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Compare content metrics without inventing causation
Content dashboards make it easy to compare numbers that should never be compared: different exposure windows, audience states, account scopes, metric definitions, or denominators.
Content Analytics Evidence Mapper validates a supplied export or pasted table, calculates only declared rates, and compares formats or other variables inside compatible cohorts. It then converts one useful descriptive difference into a bounded experiment with one changed variable and a visible decision rule.
What it delivers
- A clear
DESCRIPTIVE_ONLY,INSUFFICIENT_COMPARABILITY, orBLOCKEDverdict - Declared metric formulas with numerator, denominator, and scale
- A compact cohort map with counts, medians, ranges, and missing coverage
- Explicit limitations and refused inferences
- One proposed experiment with a baseline, hold-constant fields, observation window, and decision rule
Boundaries
It does not scrape platforms, access accounts, predict reach or sales, establish causation, write posts, or build a content calendar. If no usable input is supplied, it runs a labelled fictional Demonstration Output.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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