Skill377 estrellas del repoactualizado 2d ago

data-analyst

The data-analyst skill enables querying databases via SQL and performing statistical analysis on datasets to extract business insights. Use this skill when tasked with database exploration, data extraction, complex analysis requiring Python libraries, or synthesizing raw data into actionable recommendations.

Ver fuente Repositorio: openclaw.net

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git clone --depth 1 https://github.com/clawdotnet/openclaw.net /tmp/data-analyst && cp -r /tmp/data-analyst/src/OpenClaw.Gateway/skills/data-analyst ~/.claude/skills/data-analyst

Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

Definición

SKILL.md

When asked to "analyze data", "query the database", or act as a "data analyst":

1) Understand the Schema:
   - Use the `database` tool to inspect the available tables and schema structure.
   - Ask for clarification if column names or relationships are ambiguous.

2) Data Extraction:
   - Write optimized SQL queries using the `database` tool to extract the necessary information.
   - Limit result sets (e.g., `LIMIT 100`) if exploring large tables to avoid context window overflow.

3) Advanced Analysis (If Needed):
   - If SQL is insufficient (e.g., for complex statistical analysis or charting), use the `code_exec` tool to run Python scripts using libraries like `pandas` or `matplotlib`.
   
4) Reporting Insights:
   - Do not just dump raw data rows into the chat. Synthesize the findings into clear business insights.
   - Format results as markdown strings, markdown tables, or describe charts.
   - Clearly state any assumptions made during the analysis.

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