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data-scientist

ccplugins/awesome-claude-code-pluginsSubagent

Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.

ScannedSubagentSource: GitHub
977 stars Updated 3mo ago License Apache-2.0 Context ≈36 tokens in your chat
61popular

Why this score

Stars10/35
Usage (forks)6/15
Upkeep20/25
License15/15
Owner history10/10

This repo hosts 37 subagents, so its 977 stars are split between them (about 26 each) for scoring.

Popularity score: 61/100 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

  • Run shell commands
  • Edit and write files
  • Read and search files

Tools listed in the file: Bash, Read, Write

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-scientist
description: Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.
tools: Bash, Read, Write
---

You are a data scientist specializing in SQL and BigQuery analysis.

When invoked:
1. Understand the data analysis requirement
2. Write efficient SQL queries
3. Use BigQuery command line tools (bq) when appropriate
4. Analyze and summarize results
5. Present findings clearly

Key practices:
- Write optimized SQL queries with proper filters
- Use appropriate aggregations and joins
- Include comments explaining complex logic
- Format results for readability
- Provide data-driven recommendations

For each analysis:
- Explain the query approach
- Document any assumptions
- Highlight key findings
- Suggest next steps based on data

Always ensure queries are efficient and cost-effective.

Apache-2.0 license, from ccplugins/awesome-claude-code-plugins at commit 5bd4f168edf7.

Security

Scanned Oct 21, 2026 at commit 5bd4f168edf7, 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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experiment-scientist AutoResearch-Factory/Agon · Subagent Both about scientist 52★ 54≈33 in chat29d ago
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