aget-analyze-data
Analyze datasets to discover patterns and generate insights
npx skills add majiayu000/claude-skill-registry --skill aget-analyze-data-aget-framework-template-analyst-age --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# aget-analyze-data Perform analysis on datasets to discover patterns, trends, and anomalies. Generate actionable insights from data. ## Instructions When this skill is invoked: 1. **Profile the Dataset** - Identify data structure (fields, types, record count) - Assess data quality (completeness, consistency) - Note any limitations or caveats 2. **Compute Statistics** - For numerical fields: mean, median, range, distribution - For categorical fields: frequency counts, top values - For temporal fields: trends, seasonality 3. **Discover Patterns** - Identify correlations between fields - Detect outliers and anomalies - Find trends over time (if applicable) 4. **Generate Insights** - Translate findings into actionable statements - Prioritize by potential impact - Distinguish correlation from causation ## Output Format ```markdown ## Data Analysis: [Dataset/Topic] ### Dataset Profile | Attribute | Value | |-----------|-------| | Records | [N] | | Fields | [N] | | Date Range | [Start - End] | | Quality | [Good/Fair/Poor] | ### Key Statistics | Field | Type | Summary | |-------|------|---------| | [Field 1] | Numeric | Mean: X, Median: Y, Range: [A-B] | | [Field 2] | Categorical | Top: [
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What does the aget-analyze-data skill do?
Analyze datasets to discover patterns and generate insights
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill aget-analyze-data-aget-framework-template-analyst-age --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.