# Data

> 查看数据结构、质量和可分析性（schema 数据概览 profiling）

- Skill: `zafer-liu/data` (Agent Skill)
- Install (CLI): `npx skillmds add zafer-liu/data`
- Raw SKILL.md: https://api.skillmd.com/api/skills/zafer-liu/data/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Zafer-Liu (https://skillmd.com/u/zafer-liu)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/zafer-liu/data

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# 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`