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analysis-documentation

Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.

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包含的文件(3)

  • SKILL.md2.3 KB
  • assets/analysis_doc_template.md1.7 KB
  • references/audience_depth_guide.md2.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Analysis Documentation

When to use

  • Finalising an analysis before sharing it with stakeholders
  • Handing off an analysis to another team member or to a future self
  • Archiving recurring analyses so they can be run again consistently
  • Preparing for peer review or a formal audit
  • Converting an exploratory notebook into a reference document

Process

  1. Confirm audience and scope — determine whether the primary reader is technical (data team), business (stakeholders), or both. For mixed audiences, use a tiered structure. See references/audience_depth_guide.md for calibration.
  2. Write the business context section — state the business question, the stakeholders who requested the analysis, the decisions it informs, and the success criteria.
  3. Document data sources — for each source, record the table or file, date range, row count, key columns, and any known quality issues or exclusions applied.
  4. Write the methodology section — describe the analytical approach, tools and library versions, key assumptions, and important decisions made (and alternatives considered). Reference the assumptions log if one exists.
  5. Record results — include key metrics and statistics, embed or link visualisations with descriptive captions, and present findings in order of importance.
  6. Write the insights, recommendations, and reproducibility section — connect each finding to a business implication and a next action. Document the steps required to reproduce the analysis (data access, environment, execution order). Use assets/analysis_doc_template.md as the structure.

Inputs the skill needs

  • Final code (SQL, Python, notebook) and outputs (charts, tables)
  • Business question and stakeholder context
  • Key findings and recommendations already identified
  • Data source details (tables, date ranges, sample sizes)
  • Library and tool versions used

Output

  • assets/analysis_doc_template.md — completed analysis document covering context, data, methodology, results, and reproducibility
  • Linked or embedded visualisations and code references

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