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Data

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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

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/Zafer-Liu/Data-Analysis-Agent/blob/HEAD/skills/data/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/data, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

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