Analyzing Data
Identifies patterns, anomalies, and trends within astronomical datasets to support research and discovery.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add analyzing-data npx -- -y @trustedskills/analyzing-data
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"analyzing-data": {
"command": "npx",
"args": [
"-y",
"@trustedskills/analyzing-data"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The analyzing-data skill enables AI agents to process, interpret, and derive insights from structured or unstructured data sets. It supports statistical analysis, pattern recognition, and visualization of results, making it useful for evaluating trends, anomalies, and correlations within the data.
When to use it
- To identify patterns in sales reports or customer behavior logs.
- For generating summaries and visualizations from large datasets.
- When preparing data insights for business decisions or academic research.
- To detect outliers or errors in data entries during quality checks.
Key capabilities
- Statistical analysis of numerical data
- Pattern recognition in structured/unstructured formats
- Data visualization (e.g., charts, graphs)
- Insight generation and summarization
Example prompts
- "Analyze this sales dataset and highlight the top-performing products."
- "Identify any anomalies in the customer feedback logs provided."
- "Generate a summary report with visualizations from the latest user activity data."
Tips & gotchas
Ensure your data is clean and well-formatted for accurate results. While it can handle large datasets, performance may vary depending on system resources and data complexity.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.