本文へ移動
cccskills
無料GitHub で公開

methodology-explainer

Explain analysis methodology to diverse audiences. Use when documenting 'how we did this' sections, building trust through transparency, or teaching analytical approaches to stakeholders.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md1.9 KB
  • assets/methodology_slide_template.md1.7 KB
  • assets/methodology_writeup_template.md1.5 KB
  • references/audience_depth_guide.md3.2 KB
  • references/methodology_explanation_patterns.md4.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

When to use

Any time you deliver findings that require the audience to trust the method — A/B tests, attribution models, forecasts, statistical analyses, or anything where "how did you get that?" is a likely question. Write the methodology section before distributing results, not after questions arrive.

Process

  1. Identify the audience tier — use references/audience_depth_guide.md to determine the appropriate level: executive (why/what), business analyst (what/how at high level), or technical peer (full detail).
  2. Select the explanation pattern — use references/methodology_explanation_patterns.md to pick the structure: narrative, layered (short summary + appendix), or Q&A format.
  3. Draft the core explanation — cover: what question was asked, what data was used, what method was applied, what assumptions were made, and what the key limitation is.
  4. Apply plain-language rewrites — replace statistical terms with business equivalents per the translation table in references/methodology_explanation_patterns.md.
  5. Add a limitations paragraph — every methodology explanation must include at least one honest limitation and what it means for the conclusions.
  6. Produce deliverables — write-up using assets/methodology_writeup_template.md; if the methodology will be presented, use assets/methodology_slide_template.md.

Inputs the skill needs

  • Description of the analytical method used (technique, data, steps)
  • Audience type (executive / business / technical)
  • Any assumptions or known limitations

Output

  • Plain-language methodology write-up
  • Limitations section
  • Completed methodology_writeup_template.md or methodology_slide_template.md

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Rigorous A/B test statistical analysis. Use when analyzing experiment results, calculating statistical significance, checking for sample ratio mismatch, or validating test design before launch.

日本語の概要は準備中です。原文の説明を表示しています。

nimrodfisher/data-analytics-skills4712026年9月25日 更新

Track and document analytical assumptions and decisions. Use when making analytical choices, documenting trade-offs, ensuring transparency, or creating audit trails for analytical work.

日本語の概要は準備中です。原文の説明を表示しています。

nimrodfisher/data-analytics-skills4712026年9月25日 更新

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

日本語の概要は準備中です。原文の説明を表示しています。

nimrodfisher/data-analytics-skills4712026年9月25日 更新

Structure analysis approach before starting work. Use when receiving new analysis requests, breaking down complex questions into steps, or planning iterative analysis workflows.

日本語の概要は準備中です。原文の説明を表示しています。

nimrodfisher/data-analytics-skills4712026年9月25日 更新

Pre-delivery quality assurance for analysis work. Use when reviewing analysis before sharing with stakeholders, checking for completeness, validating assumptions, or ensuring clarity of recommendations.

日本語の概要は準備中です。原文の説明を表示しています。

nimrodfisher/data-analytics-skills4712026年9月25日 更新

Post-analysis learning and process improvement. Use when completing major analysis projects, documenting lessons learned, or improving team analytical practices.

日本語の概要は準備中です。原文の説明を表示しています。

nimrodfisher/data-analytics-skills4712026年9月25日 更新

nimrodfisher のスキルをすべて見る

このスキルの問題を報告する