Methodology Explainer
Writes the "how did you get that" section in advance, pitched to the right audience, with an honest limitation included every time.
Overview
Methodology Explainer writes up the method behind any finding that requires trust, an A/B test, an attribution model, a forecast, or a statistical analysis, before distribution rather than after the questions arrive.
What it covers
- Identifies the audience tier (executive, business analyst, or technical peer) to set the right depth.
- Picks an explanation pattern: narrative, layered summary plus appendix, or Q&A format.
- Drafts the core explanation covering the question asked, the data used, the method applied, and the assumptions made.
- Rewrites statistical terms into their business equivalents using a translation table.
- Adds an honest limitations paragraph every time, since every methodology write-up needs at least one.
Part of Data Analytics Skills
This is one of 31 skills in the Data Analytics Skills library, in the Stakeholder Communication group.
Installation
- Clone the repo once:
git clone https://github.com/nimrodfisher/data-analytics-skills.git - Copy just this skill:
cp -r data-analytics-skills/05-stakeholder-communication/methodology-explainer ~/.claude/skills/(or~/.agents/skills/for Codex) - Ask your agent something like "write the methodology section before I share this forecast" and it activates on its own.
See the Data Analytics Skills entry for the full library.
Related assets
Frontend Design
Generates distinctive, production-grade UI that avoids generic "AI slop," with bold typography, cohesive color, and precise motion, implemented as real code.
Graphify
Turns a codebase, plus its docs, PDFs, images, and video, into a queryable knowledge graph that a coding agent can traverse instead of grepping raw files, and never guesses silently: every edge is tagged EXTRACTED, INFERRED, or AMBIGUOUS so you know what was found versus inferred.
Caveman
Makes your coding agent answer in a stripped down, high signal style that keeps every technical fact and cuts filler, saving output tokens on chat style questions.