Agent skill

Analysis Documentation

by nimrodfisher in nimrodfisher/data-analytics-skills

Structured, reproducible analysis documentation. An agent skill from nimrodfisher/data-analytics-skills.

MITAuto-check passedResearch & Science

Install Analysis Documentation

skills CLI
$ npx skills add nimrodfisher/data-analytics-skills --skill analysis-documentation -a claude-code

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

GitHub CLI
$ gh skill install nimrodfisher/data-analytics-skills analysis-documentation --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/02-documentation-knowledge/analysis-documentation .claude/skills/analysis-documentation && 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
analysis-documentation
GitHub stars
465
Token cost
~583 tokens
SKILL.md length
276 words
Files
3 (incl. references, assets)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Structured, reproducible analysis documentation. An agent skill from nimrodfisher/data-analytics-skills.

  • Works in 6 steps: Confirm audience and scope — determine… → Write the business context section —… → Document data sources — for each source,… → …
  • Documenting analysis findings
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Creating analysis notebooks

What it does

Analysis Documentation is an agent skill from nimrodfisher/data-analytics-skills. Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files and assets (for example `assets/analysis_doc_template.md` and `references/audience_depth_guide.md`).

It sits in Research & Science, covering Reproducible research. 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 analysis findings
  • Creating analysis notebooks
  • Ensuring reproducibility
  • Building analysis archives for future reference

Example prompts

  • “/analysis-documentation”

Workflow steps

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

  1. Confirm audience and scope — determine whether the primary reader is technical (data team), business (stakeholders), or both. For mixed…
  2. Write the business context section — state the business question, the stakeholders who requested the analysis, the decisions it informs…
  3. Document data sources — for each source, record the table or file, date range, row count, key columns, and any known quality issues or…
  4. Write the methodology section — describe the analytical approach, tools and library versions, key assumptions, and important decisions…
  5. Record results — include key metrics and statistics, embed or link visualisations with descriptive captions, and present findings in order…
  6. Write the insights, recommendations, and reproducibility section — connect each finding to a business implication and a next action…

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

Analysis Documentation loads about 583 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 276 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~583
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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). 276 words, ~583 tokens.

Download SKILL.mdSave it as .claude/skills/analysis-documentation/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
analysis-documentation
description
Structured, reproducible analysis documentation. Use when documenting analysis findings, creating analysis notebooks, ensuring reproducibility, or building analysis archives for future reference.

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

© 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 2 other files (references, assets) in 02-documentation-knowledge/analysis-documentation of nimrodfisher/data-analytics-skills.

  • SKILL.md
  • assets/analysis_doc_template.md
  • references/audience_depth_guide.md

Open the folder on GitHubat commit 9449d36

Compare with similar skills

Analysis Documentation 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.

Analysis Documentation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analysis Documentation this skillnimrodfisher/data-analytics-skills465—~583Automated safety check: PassMIT
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT
Compute Environment Setupaipoch/open-science5.5k1 repos~2.6kAutomated safety check: PassApache-2.0
CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw6171 repos~1.8kAutomated safety check: PassNone
Figure Styleaipoch/open-science5.5k—~5.1kAutomated safety check: PassApache-2.0
Add Bactopia Toolbactopia/bactopia522—~4.1kAutomated safety check: PassMIT

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Questions about Analysis Documentation

What does Analysis Documentation do?

Structured, reproducible analysis documentation. An agent skill from nimrodfisher/data-analytics-skills. Analysis Documentation is an agent skill from nimrodfisher/data-analytics-skills. Structured, reproducible analysis documentation.

When should I use Analysis Documentation?

Analysis Documentation fits situations like: documenting analysis findings; creating analysis notebooks; ensuring reproducibility; building analysis archives for future reference.

How do I install Analysis Documentation in Claude Code?

Run `npx skills add nimrodfisher/data-analytics-skills --skill analysis-documentation -a claude-code`. Or copy the skill folder (02-documentation-knowledge/analysis-documentation in nimrodfisher/data-analytics-skills) into .claude/skills/analysis-documentation in your project. Claude Code loads it when a task matches its description.

How do I install Analysis Documentation in Codex?

Run `npx skills add nimrodfisher/data-analytics-skills --skill analysis-documentation -a codex`. Or copy the skill folder (02-documentation-knowledge/analysis-documentation in nimrodfisher/data-analytics-skills) into .agents/skills/analysis-documentation in your project. Codex loads it when a task matches its description.

Can I use Analysis Documentation 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 analysis-documentation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analysis-documentation, .gemini/skills/analysis-documentation, .github/skills/analysis-documentation and .opencode/skills/analysis-documentation in your project.

What does Analysis Documentation need to run?

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

Does Analysis Documentation 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 Analysis Documentation 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 Analysis Documentation use?

Analysis Documentation 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 Analysis Documentation use?

About 583 tokens (SKILL.md is roughly 2.3k 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 719 tokens, read only when the agent opens those files.

What are the alternatives to Analysis Documentation?

Skills that share tags, products or a category with Analysis Documentation: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Compute Environment Setup (aipoch/open-science, 5.5k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analysis Documentation?

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.