Agent skill

Business Metrics Calculator

by nimrodfisher in nimrodfisher/data-analytics-skills

Standard business metric calculation with industry benchmarks.

MITAuto-check passedData & Analytics

Install Business Metrics Calculator

skills CLI
$ npx skills add nimrodfisher/data-analytics-skills --skill business-metrics-calculator -a claude-code

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

GitHub CLI
$ gh skill install nimrodfisher/data-analytics-skills business-metrics-calculator --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/03-data-analysis-investigation/business-metrics-calculator .claude/skills/business-metrics-calculator && 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
business-metrics-calculator
GitHub stars
470
Token cost
~668 tokens
SKILL.md length
312 words
Files
4 (incl. scripts, references, assets)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Standard business metric calculation with industry benchmarks.

  • Works in 6 steps: Identify the business model and period —… → Load and validate the underlying data —… → Calculate primary metrics — for SaaS:… → …
  • Calculating SaaS metrics (MRR
  • Runs Python scripts from its folder
  • E-commerce KPIs

What it does

Business Metrics Calculator is an agent skill from nimrodfisher/data-analytics-skills. Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.

Its SKILL.md is about 670 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts, reference files and assets (for example `assets/metrics_report_template.md`, `references/metric_definitions.md` and `scripts/saas_metrics.py`).

It sits in Data & Analytics, covering Financial modeling, E-commerce operations and Product analytics. 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

  • Calculating SaaS metrics (MRR
  • E-commerce KPIs
  • Product analytics metrics with proper definitions

Example prompts

  • “/business-metrics-calculator”

Requirements

  • Python 3

Workflow steps

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

  1. Identify the business model and period — confirm the model type (SaaS subscription, e-commerce, marketplace, product/app) and the…
  2. Load and validate the underlying data — check for expected row counts, missing values, and plausible date ranges. A metrics report is only…
  3. Calculate primary metrics — for SaaS: MRR, ARR, new MRR, churned MRR, expansion MRR, customer churn rate, revenue churn rate. For…
  4. Calculate unit economics — LTV (simple average and cohort-based), CAC, LTV:CAC ratio, payback period, and quick ratio. Document which…
  5. Compare to benchmarks — grade each metric against the industry benchmark thresholds in references/metric_definitions.md (good / average /…
  6. Produce the metrics report — assemble results into assets/metrics_report_template.md with trend charts, benchmark comparison, and 3–5 key…

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 1 file 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

Business Metrics Calculator loads about 668 tokens when it runs, and up to ~1.5k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 312 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
~668
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.5k

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). 312 words, ~668 tokens.

Download SKILL.mdSave it as .claude/skills/business-metrics-calculator/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
business-metrics-calculator
description
Standard business metric calculation with industry benchmarks. Use when calculating SaaS metrics (MRR, churn, LTV, CAC), e-commerce KPIs, or product analytics metrics with proper definitions.

Business Metrics Calculator

When to use

  • Preparing a board or investor deck and need accurately defined metrics
  • The team disagrees on how a key metric (e.g., churn) should be calculated
  • Benchmarking performance against industry standards
  • Building a metrics report for a new business or new metric set
  • Validating that existing metric calculations match the standard definition

Process

  1. Identify the business model and period — confirm the model type (SaaS subscription, e-commerce, marketplace, product/app) and the calculation period (month, quarter, trailing 12M). Model type determines which metrics apply. See references/metric_definitions.md.
  2. Load and validate the underlying data — check for expected row counts, missing values, and plausible date ranges. A metrics report is only as good as the data feeding it.
  3. Calculate primary metrics — for SaaS: MRR, ARR, new MRR, churned MRR, expansion MRR, customer churn rate, revenue churn rate. For e-commerce: GMV, AOV, conversion rate, ROAS. Use scripts/saas_metrics.py or adapt for other models.
  4. Calculate unit economics — LTV (simple average and cohort-based), CAC, LTV:CAC ratio, payback period, and quick ratio. Document which assumptions were used for LTV lifetime.
  5. Compare to benchmarks — grade each metric against the industry benchmark thresholds in references/metric_definitions.md (good / average / poor). Flag anything outside the acceptable range.
  6. Produce the metrics report — assemble results into assets/metrics_report_template.md with trend charts, benchmark comparison, and 3–5 key insights. Document any definition choices that differ from industry standard.

Inputs the skill needs

  • Subscription or transaction data with at minimum: customer ID, date, value, status
  • Marketing spend data (for CAC calculation)
  • Monthly targets or goals (for vs-target comparisons)
  • The agreed-upon metric definitions (or default to industry standard)
  • Time period and any segmentation required (by plan, region, cohort)

Output

  • scripts/saas_metrics.py — calculates standard SaaS metrics from a subscriptions CSV; includes MRR waterfall, churn, LTV/CAC
  • references/metric_definitions.md — canonical definitions and benchmark thresholds by model type
  • assets/metrics_report_template.md — structured report: revenue metrics, customer metrics, unit economics, benchmark comparison, insights

© 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 3 other files (scripts, references, assets) in 03-data-analysis-investigation/business-metrics-calculator of nimrodfisher/data-analytics-skills.

  • SKILL.md
  • assets/metrics_report_template.md
  • references/metric_definitions.md
  • scripts/saas_metrics.py

Open the folder on GitHubat commit 9449d36

Compare with similar skills

Business Metrics Calculator 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.

Business Metrics Calculator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Business Metrics Calculator this skillnimrodfisher/data-analytics-skills470—~668Automated safety check: PassMIT
Subscription Revenue TrackerLeoYeAI/openclaw-master-skills2.2k—~5kAutomated safety check: PassMIT
SaaS Churn AnalysisLeoYeAI/openclaw-master-skills2.2k—~5kAutomated safety check: PassMIT
Pm Metricsserejaris/personal-corp-os229—~3kAutomated safety check: PassMIT
Product Analyticsalirezarezvani/claude-skills28k1 repos~1.4kAutomated safety check: PassMIT
Amazon Subscribe Savenexscope-ai/Amazon-Skills744—~456Automated safety check: PassMIT

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Questions about Business Metrics Calculator

What does Business Metrics Calculator do?

Standard business metric calculation with industry benchmarks. Business Metrics Calculator is an agent skill from nimrodfisher/data-analytics-skills. Standard business metric calculation with industry benchmarks.

When should I use Business Metrics Calculator?

Business Metrics Calculator fits situations like: calculating SaaS metrics (MRR; E-commerce KPIs; product analytics metrics with proper definitions.

How do I install Business Metrics Calculator in Claude Code?

Run `npx skills add nimrodfisher/data-analytics-skills --skill business-metrics-calculator -a claude-code`. Or copy the skill folder (03-data-analysis-investigation/business-metrics-calculator in nimrodfisher/data-analytics-skills) into .claude/skills/business-metrics-calculator in your project. Claude Code loads it when a task matches its description.

How do I install Business Metrics Calculator in Codex?

Run `npx skills add nimrodfisher/data-analytics-skills --skill business-metrics-calculator -a codex`. Or copy the skill folder (03-data-analysis-investigation/business-metrics-calculator in nimrodfisher/data-analytics-skills) into .agents/skills/business-metrics-calculator in your project. Codex loads it when a task matches its description.

Can I use Business Metrics Calculator 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 business-metrics-calculator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/business-metrics-calculator, .gemini/skills/business-metrics-calculator, .github/skills/business-metrics-calculator and .opencode/skills/business-metrics-calculator in your project.

What does Business Metrics Calculator need to run?

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

Does Business Metrics Calculator 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 Business Metrics Calculator 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 Business Metrics Calculator use?

Business Metrics Calculator 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 Business Metrics Calculator use?

About 668 tokens (SKILL.md is roughly 2.7k 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 816 tokens, read only when the agent opens those files.

What are the alternatives to Business Metrics Calculator?

Skills that share tags, products or a category with Business Metrics Calculator: Subscription Revenue Tracker (LeoYeAI/openclaw-master-skills, 2.2k stars), SaaS Churn Analysis (LeoYeAI/openclaw-master-skills, 2.2k stars), Pm Metrics (serejaris/personal-corp-os, 229 stars) and Product Analytics (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Business Metrics Calculator?

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.