Agent skill

Methodology Explainer

by nimrodfisher in nimrodfisher/data-analytics-skills

Explain analysis methodology to diverse audiences. An agent skill from nimrodfisher/data-analytics-skills.

MITAuto-check passedWriting & Content

Install Methodology Explainer

skills CLI
$ npx skills add nimrodfisher/data-analytics-skills --skill methodology-explainer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nimrodfisher/data-analytics-skills methodology-explainer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nimrodfisher/data-analytics-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/05-stakeholder-communication/methodology-explainer .claude/skills/methodology-explainer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
methodology-explainer
GitHub stars
465
Token cost
~487 tokens
SKILL.md length
204 words
Files
5 (incl. references, assets)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Explain analysis methodology to diverse audiences. An agent skill from nimrodfisher/data-analytics-skills.

  • Works in 6 steps: Identify the audience tier — use… → Select the explanation pattern — use… → Draft the core explanation — cover: what… → …
  • Documenting how we did this sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Building trust through transparency

What it does

Methodology Explainer is an agent skill from nimrodfisher/data-analytics-skills. Explain analysis methodology to diverse audiences. Use when documenting 'how we did this' sections, building trust through transparency, or teaching analytical approaches to stakeholders.

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files and assets (for example `assets/methodology_slide_template.md`, `assets/methodology_writeup_template.md` and `references/audience_depth_guide.md`).

It sits in Writing & Content, covering Internal communications. The repository describes itself as: A comprehensive list of Claude & Codex skills for a wide range of data analytics tasks. The licence is MIT.

When your agent uses it

  • Documenting how we did this sections
  • Building trust through transparency
  • Teaching analytical approaches to stakeholders

Example prompts

  • “how we did this”
  • “/methodology-explainer”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 9449d36. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Methodology Explainer loads about 487 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 204 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~52
When it runs · the whole SKILL.md, loaded when a task matches
~487
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nimrodfisher/data-analytics-skills at commit 9449d36, republished under its MIT licence (© nimrodfisher). 204 words, ~487 tokens.

Download SKILL.mdSave it as .claude/skills/methodology-explainer/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
methodology-explainer
description
Explain analysis methodology to diverse audiences. Use when documenting 'how we did this' sections, building trust through transparency, or teaching analytical approaches to stakeholders.

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

© nimrodfisher, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references, assets) in 05-stakeholder-communication/methodology-explainer of nimrodfisher/data-analytics-skills.

  • SKILL.md
  • assets/methodology_slide_template.md
  • assets/methodology_writeup_template.md
  • references/audience_depth_guide.md
  • references/methodology_explanation_patterns.md

Open the folder on GitHubat commit 9449d36

Compare with similar skills

Methodology Explainer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Methodology Explainer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Methodology Explainer this skillnimrodfisher/data-analytics-skills465—~487Automated safety check: PassMIT
Internal Communications Writeranthropics/skills180k38 repos~378Automated safety check: PassApache-2.0
Natural Japanese Business Writingcoji/natural-japanese1.9k—~2.1kAutomated safety check: PassMIT
My Weekly Reportmeain/dotfiles285—~2.5kAutomated safety check: PassMIT
Updatesjtenniswood/espframe209—~527Automated safety check: PassCustom licence
Updateakseolabs-seo/AK-Threads-booster275—~1.1kAutomated safety check: NotesMIT

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Questions about Methodology Explainer

What does Methodology Explainer do?

Explain analysis methodology to diverse audiences. An agent skill from nimrodfisher/data-analytics-skills. Methodology Explainer is an agent skill from nimrodfisher/data-analytics-skills. Explain analysis methodology to diverse audiences.

When should I use Methodology Explainer?

Methodology Explainer fits situations like: documenting how we did this sections; building trust through transparency; teaching analytical approaches to stakeholders.

How do I install Methodology Explainer in Claude Code?

Run `npx skills add nimrodfisher/data-analytics-skills --skill methodology-explainer -a claude-code`. Or copy the skill folder (05-stakeholder-communication/methodology-explainer in nimrodfisher/data-analytics-skills) into .claude/skills/methodology-explainer in your project. Claude Code loads it when a task matches its description.

How do I install Methodology Explainer in Codex?

Run `npx skills add nimrodfisher/data-analytics-skills --skill methodology-explainer -a codex`. Or copy the skill folder (05-stakeholder-communication/methodology-explainer in nimrodfisher/data-analytics-skills) into .agents/skills/methodology-explainer in your project. Codex loads it when a task matches its description.

Can I use Methodology Explainer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nimrodfisher/data-analytics-skills --skill methodology-explainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/methodology-explainer, .gemini/skills/methodology-explainer, .github/skills/methodology-explainer and .opencode/skills/methodology-explainer in your project.

What does Methodology Explainer need to run?

SKILL.md names no scripts, command-line tools or credentials: Methodology Explainer is instructions for the agent only.

Does Methodology Explainer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Methodology Explainer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Methodology Explainer use?

Methodology Explainer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Methodology Explainer use?

About 487 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Methodology Explainer?

Skills that share tags, products or a category with Methodology Explainer: Internal Communications Writer (anthropics/skills, 180k stars), Natural Japanese Business Writing (coji/natural-japanese, 1.9k stars), My Weekly Report (meain/dotfiles, 285 stars) and Updates (jtenniswood/espframe, 209 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Methodology Explainer?

nimrodfisher (a GitHub user) maintains it in nimrodfisher/data-analytics-skills, which has 465 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 25, 2026.

Source: nimrodfisher/data-analytics-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.