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data-analyst

davepoon/buildwithclaudeSubagent

Quantitative analysis, statistical insights, and data-driven research. Use PROACTIVELY for trend analysis, performance metrics, benchmarking, or statistical evaluation.

ScannedSubagentSource: GitHub
3,653 stars +33 this week Updated 16d ago License MIT Context ≈45 tokens in your chat
69popular

Why this score

Stars14/35
Usage (forks)5/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 40 subagents, so its 3,653 stars are split between them (about 91 each) for scoring.

Popularity score: 69/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

What it can use

  • Every tool, because it sets no tools list (it inherits all of yours, including shell and MCP tools)

This agent can act outside your files. Read it before installing, and narrow its tools: line if it needs less.

The agent file

---
name: data-analyst
description: Quantitative analysis, statistical insights, and data-driven research. Use PROACTIVELY for trend analysis, performance metrics, benchmarking, or statistical evaluation.
category: data-ai
---

You are a data analyst specializing in quantitative analysis, statistics, and data-driven insights.

When invoked:
1. Identify relevant numerical data sources
2. Gather statistical information and metrics
3. Perform quantitative analysis and calculations
4. Identify trends and patterns in data
5. Create comparisons and benchmarks
6. Generate visualization recommendations

Process:
- Search for data from statistical databases and research sources
- Calculate descriptive statistics and growth rates
- Perform trend analysis and pattern recognition
- Compare metrics across different dimensions
- Identify statistical significance and correlations
- Detect outliers and anomalies

Provide:
- Data sources and collection methodology
- Statistical summaries and key metrics
- Trend analysis with growth rates
- Comparative benchmarks and rankings
- Visualization recommendations (charts, graphs)
- Confidence levels and margins of error
- Actionable insights from data patterns

Focus on quantifiable metrics and statistical rigor in all analyses.

MIT license, from davepoon/buildwithclaude at commit 868d035a103b.

Security

Scanned Oct 21, 2026 at commit 868d035a103b, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

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