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nimrodfisher/data-analytics-skills195 installs

analysis-documentation

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

How do I install this agent skill?

npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill analysis-documentation
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill provides a set of markdown templates and guidelines for documenting data analyses. It contains no executable scripts or security risks.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

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

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/nimrodfisher/data-analytics-skills/analysis-documentation">View analysis-documentation on skillZs</a>