Agent skill

Technical To Business Translator

by nimrodfisher in nimrodfisher/data-analytics-skills

Translate technical analysis into business language. An agent skill from nimrodfisher/data-analytics-skills.

MITAuto-check passedWriting & Content

Install Technical To Business Translator

skills CLI
$ npx skills add nimrodfisher/data-analytics-skills --skill technical-to-business-translator -a claude-code

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

GitHub CLI
$ gh skill install nimrodfisher/data-analytics-skills technical-to-business-translator --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/technical-to-business-translator .claude/skills/technical-to-business-translator && 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
technical-to-business-translator
GitHub stars
470
Token cost
~458 tokens
SKILL.md length
192 words
Files
7 (incl. scripts, references, assets)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Translate technical analysis into business language. An agent skill from nimrodfisher/data-analytics-skills.

  • Works in 6 steps: Detect jargon — run… → Score readability — run… → Identify the audience persona — use… → …
  • Explaining statistical concepts to non-analysts
  • Runs Python scripts from its folder
  • Simplifying technical findings

What it does

Technical To Business Translator is an agent skill from nimrodfisher/data-analytics-skills. Translate technical analysis into business language. Use when explaining statistical concepts to non-analysts, simplifying technical findings, or bridging communication between data teams and business stakeholders.

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts, reference files and assets (for example `assets/translation_template.md`, `references/metaphor_bank.md` and `references/stakeholder_personas.md`).

It sits in Writing & Content, covering Translation and 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

  • Explaining statistical concepts to non-analysts
  • Simplifying technical findings
  • Bridging communication between data teams and business stakeholders

Example prompts

  • “/technical-to-business-translator”

Requirements

  • Python 3

Workflow steps

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

  1. Detect jargon — run scripts/jargon_detector.py on the draft text to flag technical terms that need translation.
  2. Score readability — run scripts/readability_scorer.py to get Flesch-Kincaid grade level and sentence complexity metrics; target ≤ grade 10…
  3. Identify the audience persona — use references/stakeholder_personas.md to select the persona that best matches your reader; each persona…
  4. Apply translation patterns — use references/translation_pattern_library.md to swap technical language for business equivalents (e.g…
  5. Replace with metaphors where needed — for complex statistical concepts, pick an appropriate metaphor from references/metaphor_bank.md.
  6. Draft the translated version — use assets/translation_template.md to produce the parallel technical/business version; keep the original in…

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

    Ships 2 files in scripts/ (Python), which the agent can run.

    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

Technical To Business Translator loads about 458 tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 192 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~458
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.6k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from nimrodfisher/data-analytics-skills at commit 9449d36, republished under its MIT licence (© nimrodfisher). 192 words, ~458 tokens.

Download SKILL.mdSave it as .claude/skills/technical-to-business-translator/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
technical-to-business-translator
description
Translate technical analysis into business language. Use when explaining statistical concepts to non-analysts, simplifying technical findings, or bridging communication between data teams and business stakeholders.

When to use

When technical output (model results, statistical tests, query findings) needs to be understood by a business audience. Also use to review your own writing before sending — it is easy to slip into jargon without noticing.

Process

  1. Detect jargon — run scripts/jargon_detector.py on the draft text to flag technical terms that need translation.
  2. Score readability — run scripts/readability_scorer.py to get Flesch-Kincaid grade level and sentence complexity metrics; target ≤ grade 10 for executive audiences.
  3. Identify the audience persona — use references/stakeholder_personas.md to select the persona that best matches your reader; each persona has vocabulary preferences and typical questions.
  4. Apply translation patterns — use references/translation_pattern_library.md to swap technical language for business equivalents (e.g., "p-value < 0.05" → "we're 95% confident this isn't random chance").
  5. Replace with metaphors where needed — for complex statistical concepts, pick an appropriate metaphor from references/metaphor_bank.md.
  6. Draft the translated version — use assets/translation_template.md to produce the parallel technical/business version; keep the original in an appendix for technical reviewers.

Inputs the skill needs

  • Draft technical text or findings
  • Target audience role (VP, product manager, operations, finance, etc.)

Output

  • Jargon detection report
  • Readability score before/after
  • Translated text with original in appendix (translation_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 6 other files (scripts, references, assets) in 05-stakeholder-communication/technical-to-business-translator of nimrodfisher/data-analytics-skills.

  • SKILL.md
  • assets/translation_template.md
  • references/metaphor_bank.md
  • references/stakeholder_personas.md
  • references/translation_pattern_library.md
  • scripts/jargon_detector.py
  • scripts/readability_scorer.py

Open the folder on GitHubat commit 9449d36

Compare with similar skills

Technical To Business Translator 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.

Technical To Business Translator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Technical To Business Translator this skillnimrodfisher/data-analytics-skills470—~458Automated safety check: PassMIT
Translation Diff ExportDevolutions/UniGetUI26k—~1.1kAutomated safety check: PassMIT
Sync Translationssymfony/symfony31k—~1.9kAutomated safety check: PassMIT
Internal Communications Writeranthropics/skills180k38 repos~378Automated safety check: PassApache-2.0
Translation Diff ImportDevolutions/UniGetUI26k—~750Automated safety check: PassMIT
Translation Diff TranslateDevolutions/UniGetUI26k—~934Automated safety check: PassMIT

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Questions about Technical To Business Translator

What does Technical To Business Translator do?

Translate technical analysis into business language. An agent skill from nimrodfisher/data-analytics-skills. Technical To Business Translator is an agent skill from nimrodfisher/data-analytics-skills. Translate technical analysis into business language.

When should I use Technical To Business Translator?

Technical To Business Translator fits situations like: explaining statistical concepts to non-analysts; simplifying technical findings; bridging communication between data teams and business stakeholders.

How do I install Technical To Business Translator in Claude Code?

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

How do I install Technical To Business Translator in Codex?

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

Can I use Technical To Business Translator 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 technical-to-business-translator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/technical-to-business-translator, .gemini/skills/technical-to-business-translator, .github/skills/technical-to-business-translator and .opencode/skills/technical-to-business-translator in your project.

What does Technical To Business Translator need to run?

Going by SKILL.md and its folder, Technical To Business Translator needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Technical To Business Translator 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 Technical To Business Translator 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Technical To Business Translator use?

Technical To Business Translator 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 Technical To Business Translator use?

About 458 tokens (SKILL.md is roughly 1.8k 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 3.2k tokens, read only when the agent opens those files.

What are the alternatives to Technical To Business Translator?

Skills that share tags, products or a category with Technical To Business Translator: Translation Diff Export (Devolutions/UniGetUI, 26k stars), Sync Translations (symfony/symfony, 31k stars), Internal Communications Writer (anthropics/skills, 180k stars) and Translation Diff Import (Devolutions/UniGetUI, 26k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Technical To Business Translator?

nimrodfisher (a GitHub user) maintains it in nimrodfisher/data-analytics-skills, which has 470 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.