# Data

> Data is an Agent Skill for documents published in the Zafer-Liu/Data-Analysis-Agent repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

查看数据结构、质量和可分析性

- Skill name: `data`
- Category: [Documents](https://www.openparable.com/skill/documents/1)
- Source: https://github.com/Zafer-Liu/Data-Analysis-Agent/blob/HEAD/skills/data/SKILL.md
- Repository: Zafer-Liu/Data-Analysis-Agent (2,062 GitHub stars when collected)

## SKILL.md

# 数据诊断

先获取 schema 和必要样本，报告表规模、字段类型、缺失、重复、异常、时间范围和关键分布。区分事实、风险与建议，指出可直接分析的字段及需要用户确认的口径。

## Tool routing

1. Use `get_schema` first to inspect tables, fields, row counts, and source structure.
2. Use `get_table_detail` when one table needs deeper field-level metadata.
3. Use `profile_data` for data quality, missingness, type, and distribution diagnostics.
4. Use `query_data` for small verification samples or targeted aggregates.
5. Use `generate_chart` only when a compact diagnostic chart materially helps explain the data.

## Implementation reference

- Data tool entries: `agent/tools/business/data.py`
- Profiling implementation: `Function/Clean/data_profile.py`
- Chart implementation: `Function/Charts_generation/chart_generate.py`

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