data-analysis-standard
A template-based approach to analyzing product metrics and conversion funnels.
Install
mkdir -p .claude/skills/data-analysis-standard && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/19373" && unzip -o skill.zip -d .claude/skills/data-analysis-standard && rm skill.zipInstalls to .claude/skills/data-analysis-standard
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Structure a product data analysis, metric deep-dive, funnel analysis, or cohort study. Use when asked to analyse product metrics, investigate a drop in conversion, explain a data change to stakeholders, or find the root cause of a metric movement. Produces a structured analysis with question, root cause, confidence level, and recommended action.Key capabilities
- →Structure product data analysis
- →Perform metric deep-dives and funnel analysis
- →Conduct cohort studies
- →Identify root causes of metric movements
- →Recommend data-driven actions
How it works
It applies a 4-question framework (What changed, Why, So what, Now what) to structure analyses. It forces the inclusion of evidence for root causes and explicit confidence levels.
Inputs & outputs
When to use data-analysis-standard
- →Investigating a sudden drop in conversion rate
- →Deep-diving into cohort behavior
- →Explaining metric shifts to stakeholders
- →Performing a funnel analysis on user signups
About data-analysis-standard
Provides a consistent structure for analyzing metric movements. It forces a clear path through identification, root cause hypothesis, impact assessment, and recommended action steps.
Structure a product data analysis, metric deep-dive, funnel analysis, or cohort study. Use when asked to analyse product metrics, investigate a drop in conversion, explain a data change to stakeholders, or find the root cause of a metric movement. Produces a structured analysis with question, root c
When not to use it
- →When delivering data without a narrative
- →When presenting correlations as causation
Limitations
- →Requires a defined time window and comparison baseline
- →Cannot report metrics without stating the comparison baseline
How it compares
It enforces a rigorous documentation standard that requires actionable recommendations and uncertainty honesty, rather than just reporting raw data.
Compared to similar skills
data-analysis-standard side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| data-analysis-standard (this skill) | 0 | 3mo | No flags | Intermediate |
| quant-analyst | 103 | 5mo | No flags | Advanced |
| stock-analyzer | 71 | 4mo | Review | Beginner |
| xlsx | 87 | 8mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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