Speckit Analyze
Analyzes complex data sets to identify hidden patterns, anomalies, and actionable insights using advanced statistical modeling.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add dceoy-speckit-analyze npx -- -y @trustedskills/dceoy-speckit-analyze
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"dceoy-speckit-analyze": {
"command": "npx",
"args": [
"-y",
"@trustedskills/dceoy-speckit-analyze"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The dceoy-speckit-analyze skill allows AI agents to analyze scientific data and extract key information. It can process data from various sources, including files and URLs, and provide summaries of findings. The skill is designed for researchers and anyone working with complex datasets needing quick insights.
When to use it
- Analyzing experimental results: Quickly understand the trends and anomalies in a newly generated dataset.
- Literature review: Summarize key data points from research papers or online reports.
- Data validation: Check if a dataset contains expected values or patterns.
- Report generation: Automatically extract relevant information for inclusion in scientific reports.
Key capabilities
- Data ingestion from files and URLs
- Scientific data analysis
- Information extraction
- Summarization of findings
Example prompts
- "Analyze the data at [URL] and tell me the average value of column X."
- "Can you summarize the key findings in this file: [file path]?"
- "What are the outliers in this dataset? [file path]"
Tips & gotchas
The skill requires a basic understanding of scientific data formats. Providing clear instructions and specifying the desired output format will improve accuracy.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.