Agent skill

SaaS Metrics Coach

MITAuto-check passedBusiness, Finance & HR

Install SaaS Metrics Coach

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a claude-code

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

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team saas-metrics-coach --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/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/saas-metrics-coach .claude/skills/saas-metrics-coach && 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/

Paste into Claude Code

Install the "saas-metrics-coach" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/saas-metrics-coach into .claude/skills/saas-metrics-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics-coach", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/saas-metrics-coach

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team saas-metrics-coach --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/saas-metrics-coach .agents/skills/saas-metrics-coach && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "saas-metrics-coach" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/saas-metrics-coach into .agents/skills/saas-metrics-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics-coach", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team saas-metrics-coach --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/saas-metrics-coach .cursor/skills/saas-metrics-coach && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "saas-metrics-coach" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/saas-metrics-coach into .cursor/skills/saas-metrics-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics-coach", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/saas-metrics-coach

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team saas-metrics-coach --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/saas-metrics-coach .gemini/skills/saas-metrics-coach && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "saas-metrics-coach" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/saas-metrics-coach into .gemini/skills/saas-metrics-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics-coach", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team saas-metrics-coach

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/saas-metrics-coach .github/skills/saas-metrics-coach && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "saas-metrics-coach" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/saas-metrics-coach into .github/skills/saas-metrics-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics-coach", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team saas-metrics-coach --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/saas-metrics-coach .opencode/skills/saas-metrics-coach && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "saas-metrics-coach" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/saas-metrics-coach into .opencode/skills/saas-metrics-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "saas-metrics-coach", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: saas-metrics-coach
GitHub stars: 105
Used in: 1 other repo
Token cost: ~1.1k tokens
SKILL.md length: 394 words
Files: 1
Skills in repo: 167
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 5 steps: Export subscription data as CSV… → Run mrr_calculator.py to get current… → Run cohort_analyzer.py on user activity… → …
Asks to calculate MRR
SKILL.md covers Overview, Quick Start, Tools Overview and Workflows, plus 2 more sections
Calls python

What it does

SaaS Metrics Coach is an agent skill from aAAaqwq/AGI-Super-Team. This skill should be used when the user asks to "calculate MRR", "analyze churn", "compute SaaS metrics", "do cohort retention analysis", "calculate LTV or CAC", "evaluate unit economics", or "track subscription revenue growth".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Financial modeling. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

Asks to calculate MRR
Compute SaaS metrics
Do cohort retention analysis
Evaluate unit economics

Example prompts

“calculate MRR”
“analyze churn”
“compute SaaS metrics”
“/saas-metrics-coach”

Requirements

Python 3

Workflow steps

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

Export subscription data as CSV (columns: customer_id, plan, mrr, start_date, end_date)
Run mrr_calculator.py to get current MRR, ARR, net new MRR, churn rate
Run cohort_analyzer.py on user activity data to identify retention trends
Run unit_economics.py to validate LTV:CAC ratio stays above 3:1
Review output for warning flags (churn > 5%, LTV:CAC < 3, payback > 18 months)

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. 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
Shell commands in SKILL.md call:
- python
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

SaaS Metrics Coach loads about 1.1k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 394 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: ~1.1k

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 aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 394 words, ~1,140 tokens.

Download SKILL.mdSave it as .claude/skills/saas-metrics-coach/SKILL.md (or your agent's skills folder).

name: saas-metrics-coach
description: This skill should be used when the user asks to "calculate MRR", "analyze churn", "compute SaaS metrics", "do cohort retention analysis", "calculate LTV or CAC", "evaluate unit economics", or "track subscription revenue growth".
license: MIT + Commons Clause
metadata.version: 1.0.0
metadata.author: borghei
metadata.category: finance
metadata.domain: saas-metrics
metadata.updated: 2026-04-02
metadata.tags: saas, mrr, arr, churn, cohort-analysis, ltv, cac, unit-economics

SaaS Metrics Coach Skill

Overview

Production-ready SaaS metrics toolkit for calculating MRR/ARR, analyzing cohort retention, and evaluating unit economics. Designed for SaaS founders, finance teams, and growth operators who need precise subscription revenue analysis without spreadsheet gymnastics.

Quick Start

bash

# Calculate MRR, ARR, growth rate, and churn from subscription data
python scripts/mrr_calculator.py subscriptions.csv

# Run cohort retention analysis
python scripts/cohort_analyzer.py users.csv --cohort-period monthly

# Calculate LTV, CAC, LTV:CAC ratio, and payback period
python scripts/unit_economics.py metrics.json

Tools Overview

Tool	Purpose	Input	Output
`mrr_calculator.py`	MRR, ARR, growth rate, churn	CSV with subscription data	Revenue metrics + trends
`cohort_analyzer.py`	Cohort retention analysis	CSV with user signup/activity data	Retention matrix + curves
`unit_economics.py`	LTV, CAC, LTV:CAC, payback	JSON with acquisition/revenue data	Unit economics dashboard

Workflows

Workflow 1: Monthly SaaS Health Check

Export subscription data as CSV (columns: customer_id, plan, mrr, start_date, end_date)
Run mrr_calculator.py to get current MRR, ARR, net new MRR, churn rate
Run cohort_analyzer.py on user activity data to identify retention trends
Run unit_economics.py to validate LTV:CAC ratio stays above 3:1
Review output for warning flags (churn > 5%, LTV:CAC < 3, payback > 18 months)

Workflow 2: Investor Deck Preparation

Run mrr_calculator.py --format json to get growth metrics for charts
Run cohort_analyzer.py --format json for retention curves
Run unit_economics.py --format json for unit economics summary
Use JSON output to populate investor deck data points

Workflow 3: Churn Investigation

Run mrr_calculator.py with --breakdown to see churn by plan tier
Run cohort_analyzer.py to identify which cohorts churn fastest
Cross-reference cohort drop-off periods with product changes
Identify if churn is concentrated in specific segments or time windows

Reference Documentation

Show full SKILL.md (157 more words)Show less

Key SaaS Metrics Definitions

MRR (Monthly Recurring Revenue): Sum of all active subscription revenue normalized to monthly
ARR (Annual Recurring Revenue): MRR x 12
Net New MRR: New MRR + Expansion MRR - Churned MRR - Contraction MRR
Gross Churn Rate: Lost MRR / Beginning MRR for the period
Net Revenue Retention (NRR): (Beginning MRR + Expansion - Churn - Contraction) / Beginning MRR
LTV (Lifetime Value): ARPU / Monthly Churn Rate (simplified) or ARPU x Gross Margin / Churn
CAC (Customer Acquisition Cost): Total Sales & Marketing Spend / New Customers Acquired
LTV:CAC Ratio: Target 3:1 or higher for healthy SaaS
CAC Payback Period: CAC / (ARPU x Gross Margin) in months

See references/saas-metrics-guide.md for comprehensive framework details.

Common Patterns

Pattern: Subscription CSV Format

csv

customer_id,plan,mrr,start_date,end_date,status
C001,pro,99.00,2025-01-15,,active
C002,basic,29.00,2025-02-01,2025-08-15,churned
C003,enterprise,499.00,2025-03-10,,active

Pattern: User Activity CSV Format

csv

user_id,signup_date,last_active_date,activity_month
U001,2025-01-05,2025-06-15,2025-06
U002,2025-01-12,2025-03-20,2025-03

Pattern: Unit Economics JSON Format

json

{
  "period": "2025-Q4",
  "total_customers": 1200,
  "new_customers": 150,
  "churned_customers": 45,
  "total_mrr": 89500.00,
  "arpu": 74.58,
  "gross_margin": 0.82,
  "sales_marketing_spend": 45000.00,
  "monthly_churn_rate": 0.0375
}

Healthy SaaS Benchmarks

Metric	Concerning	Acceptable	Strong
Monthly Churn	> 5%	2-5%	< 2%
Net Revenue Retention	< 90%	90-110%	> 120%
LTV:CAC	< 1:1	1:1-3:1	> 3:1
CAC Payback	> 24 mo	12-18 mo	< 12 mo
Gross Margin	< 60%	60-75%	> 75%

Files

Just SKILL.md in skills/saas-metrics-coach of aAAaqwq/AGI-Super-Team.

Open the folder on GitHubat commit 7cefd81

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

borghei/Claude-Skillsfinance/saas-metrics-coach

Compare with similar skills

SaaS Metrics Coach 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.

SaaS Metrics Coach compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
SaaS Metrics Coach this skillaAAaqwq/AGI-Super-Team	105	1 repos	~1.1k	Automated safety check: Pass	MIT	2 days ago
Creating Financial ModelsChen-zexi/open-ptc-agent	729	3 repos	~1.3k	Automated safety check: Pass	MIT	8 mo ago
Equity ResearchrollingSirius/equity-research-skill	453	—	~1.5k	Automated safety check: Pass	MIT	1 mo ago
SaaS Metrics Coachrongxinzy/RongxinAI	154	2 repos	~1.3k	Automated safety check: Pass	MIT	yesterday
Startup Financial Modelingnicepkg/auto-company	195	11 repos	~2.8k	Automated safety check: Pass	None	8 mo ago
Stock Value AnalyzerFunnyKun/stock-value-analyzer	141	—	~3.3k	Automated safety check: Pass	None	3 mo ago

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Questions about SaaS Metrics Coach

What does SaaS Metrics Coach do?

This skill should be used when the user asks to "calculate MRR", "analyze churn", "compute SaaS metrics", "do cohort retention analysis", "calculate LTV or CAC", "evaluate unit economics", or "track…. SaaS Metrics Coach is an agent skill from aAAaqwq/AGI-Super-Team. This skill should be used when the user asks to "calculate MRR", "analyze churn", "compute SaaS metrics", "do cohort retention analysis", "calculate LTV or CAC", "evaluate unit economics", or "track subscription revenue growth".

When should I use SaaS Metrics Coach?

SaaS Metrics Coach fits situations like: asks to calculate MRR; compute SaaS metrics; do cohort retention analysis; evaluate unit economics.

How do I install SaaS Metrics Coach in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a claude-code`. Or copy the skill folder (skills/saas-metrics-coach in aAAaqwq/AGI-Super-Team) into .claude/skills/saas-metrics-coach in your project. Claude Code loads it when a task matches its description.

How do I install SaaS Metrics Coach in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a codex`. Or copy the skill folder (skills/saas-metrics-coach in aAAaqwq/AGI-Super-Team) into .agents/skills/saas-metrics-coach in your project. Codex loads it when a task matches its description.

Can I use SaaS Metrics Coach 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 aAAaqwq/AGI-Super-Team --skill saas-metrics-coach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/saas-metrics-coach, .gemini/skills/saas-metrics-coach, .github/skills/saas-metrics-coach and .opencode/skills/saas-metrics-coach in your project.

What does SaaS Metrics Coach need to run?

Going by SKILL.md and its folder, SaaS Metrics Coach needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does SaaS Metrics Coach 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 SaaS Metrics Coach 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 SaaS Metrics Coach use?

SaaS Metrics Coach is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SaaS Metrics Coach use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to SaaS Metrics Coach?

Skills that share tags, products or a category with SaaS Metrics Coach: Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars), Equity Research (rollingSirius/equity-research-skill, 453 stars), SaaS Metrics Coach (rongxinzy/RongxinAI, 154 stars) and Startup Financial Modeling (nicepkg/auto-company, 195 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SaaS Metrics Coach?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install SaaS Metrics Coach

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

SaaS Metrics Coach Skill

Overview

Quick Start

Tools Overview

Workflows

Workflow 1: Monthly SaaS Health Check

Workflow 2: Investor Deck Preparation

Workflow 3: Churn Investigation

Reference Documentation

Key SaaS Metrics Definitions

Common Patterns

Pattern: Subscription CSV Format

Pattern: User Activity CSV Format

Pattern: Unit Economics JSON Format

Healthy SaaS Benchmarks

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from aAAaqwq/AGI-Super-Team

Related

Questions about SaaS Metrics Coach