Agent Business Canvas
harperreed/dotfiles
A skill your agent uses when evaluating, designing, or pressure-testing the business model of an AI agent product.
Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency.
Install Biz Cac Ltv
$ npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills biz-cac-ltv --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/biz-cac-ltv .claude/skills/biz-cac-ltv && rm -rf skills-srcUse ~/.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/
Install the "biz-cac-ltv" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-cac-ltv into .claude/skills/biz-cac-ltv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-cac-ltv", 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 install https://github.com/asgard-ai-platform/skills/tree/main/biz-cac-ltvType 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.
$ npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills biz-cac-ltv --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/biz-cac-ltv .agents/skills/biz-cac-ltv && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "biz-cac-ltv" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-cac-ltv into .agents/skills/biz-cac-ltv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-cac-ltv", 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.
$ npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills biz-cac-ltv --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/biz-cac-ltv .cursor/skills/biz-cac-ltv && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "biz-cac-ltv" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-cac-ltv into .cursor/skills/biz-cac-ltv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-cac-ltv", 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 https://github.com/asgard-ai-platform/skills.git --path biz-cac-ltv--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills biz-cac-ltv --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/biz-cac-ltv .gemini/skills/biz-cac-ltv && rm -rf skills-srcUse ~/.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/
Install the "biz-cac-ltv" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-cac-ltv into .gemini/skills/biz-cac-ltv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-cac-ltv", 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.
$ gh skill install asgard-ai-platform/skills biz-cac-ltvInstalls 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).
$ npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/biz-cac-ltv .github/skills/biz-cac-ltv && rm -rf skills-srcUse ~/.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/
Install the "biz-cac-ltv" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-cac-ltv into .github/skills/biz-cac-ltv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-cac-ltv", 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.
$ npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills biz-cac-ltv --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/biz-cac-ltv .opencode/skills/biz-cac-ltv && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "biz-cac-ltv" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/biz-cac-ltv into .opencode/skills/biz-cac-ltv/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "biz-cac-ltv", 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
biz-cac-ltv- GitHub stars
- 242
- Token cost
- ~1.9k tokens
- SKILL.md length
- 632 words
- Files
- 5 (incl. scripts, references)
- Skills in repo
- 207
- Repo updated
- First seen
- Licence
- MIT
At a glance
Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency.
- Works in 5 steps: Calculate CAC → Calculate LTV → Calculate Key Ratios → …
- The user needs to assess whether their customer acquisition is profitable
- SKILL.md covers Overview, When to Use, Framework and Output Format, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
Biz Cac Ltv is an agent skill from asgard-ai-platform/skills. Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency. Use this skill when the user needs to assess whether their customer acquisition is profitable, optimize marketing spend allocation, or evaluate business model viability — even if they say 'are we spending too much on ads', 'what's each customer worth', or 'is our growth sustainable'.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `examples/sample_input.json`, `references/attribution-models.md` and `references/cohort-ltv.md`).
It sits in Business, Finance & HR, covering Product strategy and Financial modeling. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to assess whether their customer acquisition is profitable
- Optimize marketing spend allocation
- Evaluate business model viability — even if they say are we spending too much on ads
- Whats each customer worth
Example prompts
- “are we spending too much on ads”
- “s each customer worth”
- “is our growth sustainable”
- “/biz-cac-ltv”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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.
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
Biz Cac Ltv loads about 1.9k tokens when it runs, and up to ~6.9k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 632 words of instructions outside code blocks.
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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 632 words, ~1,850 tokens.
Download SKILL.mdSave it as
.claude/skills/biz-cac-ltv/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- biz-cac-ltv
- description
- Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency. Use this skill when the user needs to assess whether their customer acquisition is profitable, optimize marketing spend allocation, or evaluate business model viability — even if they say 'are we spending too much on ads', 'what's each customer worth', or 'is our growth sustainable'.
- metadata.category
- WP-14 商學院—行銷
- metadata.tags
- marketing, unit-economics, cac, ltv
CAC and LTV Analysis
Overview
CAC (Customer Acquisition Cost) and LTV (Customer Lifetime Value) are the two fundamental unit economics metrics. Together they answer: "Does each customer generate more revenue than it costs to acquire them?" The LTV:CAC ratio is the single most important indicator of marketing efficiency and business model viability.
When to Use
Trigger conditions:
- User evaluating marketing spend efficiency
- User asks "what's each customer worth?" or "are we spending too much on marketing?"
- User assessing business model viability or fundraising metrics
- User needs to allocate budget across acquisition channels
When NOT to use:
- For product pricing decisions → use Pricing Strategy
- For customer segmentation → use STP or RFM
- For comprehensive financial analysis → use financial ratios
Framework
IRON LAW: LTV:CAC > 3 for Healthy Business
LTV:CAC ratio must be at least 3:1 for sustainable businesses.
- < 1:1 = You're LOSING money on every customer
- 1-3:1 = Unsustainable unless you can reduce CAC or increase LTV
- 3-5:1 = Healthy
- > 5:1 = Potentially underinvesting in growth (leaving market share on the table)
This ratio applies to the BLENDED average. Individual channels can be
below 3:1 if the overall blend exceeds it.IRON LAW: CAC Must Include ALL Acquisition Costs
CAC = Total marketing & sales spend / Number of new customers acquired
"Total spend" includes: ad spend, marketing team salaries, sales team
salaries, tools, content production, events — EVERYTHING spent to acquire
customers in that period. Excluding salaries or tools understates true CAC.Step 1: Calculate CAC
Basic formula:
CAC = Total acquisition spend in period / New customers acquired in periodBy channel:
CAC (Channel X) = Spend on Channel X / Customers from Channel XInclude in total acquisition spend:
- Advertising (digital + offline)
- Marketing team compensation
- Sales team compensation (for B2B)
- Marketing tools and software
- Content production costs
- Events and sponsorships
- Agency fees
Step 2: Calculate LTV
Simple formula:
LTV = ARPU × Gross Margin % × Average Customer LifespanWhere:
- ARPU = Average Revenue Per User per period (monthly or annual)
- Gross Margin % = (Revenue - COGS) / Revenue
- Average Customer Lifespan = 1 / Churn Rate
Cohort-based (more accurate): Track actual revenue per customer cohort over time. Sum cumulative revenue per customer, apply gross margin.
Step 3: Calculate Key Ratios
| Metric | Formula | Healthy Benchmark |
|---|---|---|
| LTV:CAC | LTV / CAC | > 3:1 |
| Payback Period | CAC / (ARPU × Gross Margin) | < 12 months |
| CAC % of LTV | CAC / LTV × 100 | < 33% |
Step 4: Segment Analysis
Calculate CAC and LTV by:
- Channel: Which acquisition channels are most efficient?
- Customer segment: Which segments have highest LTV:CAC?
- Cohort: Is LTV improving or degrading over time?
Step 5: Optimization Strategies
To reduce CAC:
- Shift budget to lower-CAC channels
- Improve conversion rates (better landing pages, sales process)
- Increase organic/referral acquisition (content, word-of-mouth)
To increase LTV:
- Reduce churn (improve product, customer success)
- Increase ARPU (upsell, cross-sell, price increases)
- Extend customer lifespan (loyalty programs, switching costs)
Output Format
# CAC-LTV Analysis: {Company/Product}
## Unit Economics Summary
| Metric | Value | Benchmark | Status |
|--------|-------|-----------|--------|
| CAC (blended) | ${X} | — | — |
| LTV | ${X} | — | — |
| LTV:CAC | {X}:1 | > 3:1 | ✓/✗ |
| Payback Period | {X} months | < 12 months | ✓/✗ |
## CAC by Channel
| Channel | Spend | Customers | CAC | % of Total |
|---------|-------|-----------|-----|-----------|
| {channel} | ${X} | {N} | ${X} | {X%} |
## LTV Calculation
- ARPU: ${X}/month
- Gross Margin: {X%}
- Avg Lifespan: {X} months (churn rate: {X%}/month)
- LTV = ${X}
## LTV:CAC by Segment
| Segment | CAC | LTV | Ratio | Action |
|---------|-----|-----|-------|--------|
| {seg A} | ${X} | ${X} | {X}:1 | Invest / Maintain / Cut |
## Optimization Recommendations
1. ...
2. ...Examples
Correct Application
Scenario: CAC-LTV for a Taiwanese B2C subscription box (monthly NT$599)
CAC calculation:
| Item | Monthly Spend |
|---|---|
| Facebook/Instagram ads | NT$200,000 |
| Google Ads | NT$80,000 |
| KOL partnerships | NT$50,000 |
| Marketing team (2 people) | NT$120,000 |
| Total | NT$450,000 |
New customers in month: 300 CAC = NT$450,000 / 300 = NT$1,500
LTV calculation:
- ARPU: NT$599/month
- Gross Margin: 55%
- Monthly churn: 8% → Avg lifespan: 1/0.08 = 12.5 months
- LTV = NT$599 × 0.55 × 12.5 = NT$4,118
LTV:CAC = 4,118 / 1,500 = 2.75:1 — Below the 3:1 threshold. Need to either reduce CAC or improve retention.
Show full SKILL.md (244 more words)Show less
Incorrect Application
What went wrong:
- CAC calculated as "ad spend / new customers" only, excluding NT$120K/month marketing team salary → True CAC is NT$1,500, not NT$1,100. Violates Iron Law: include ALL acquisition costs.
- LTV:CAC of 1.8:1 reported as "good because we're growing" → Growth at LTV:CAC < 3:1 means you're growing into larger losses. Violates Iron Law: ratio must be > 3:1.
Gotchas
- Attribution is messy: A customer who saw an Instagram ad, Googled your brand, then signed up via a referral link — which channel gets credit? Be consistent in attribution methodology (first-touch, last-touch, or multi-touch).
- Blended vs marginal CAC: Blended CAC includes all channels. Marginal CAC is the cost of acquiring ONE MORE customer. As you scale, marginal CAC typically rises (best channels saturate first).
- LTV is always an estimate: Future churn and spending behavior are uncertain. Use conservative assumptions and update with real cohort data as it accumulates.
- Payback period matters for cash flow: Even with LTV:CAC of 5:1, if payback takes 24 months, you need significant upfront capital. Fast-growing companies can die from long payback periods despite great unit economics.
- Negative churn is a superpower: If expansion revenue (upsells) exceeds lost revenue (churn), Net Revenue Retention > 100%. This means LTV grows over time — the best possible scenario.
Scripts
| Script | Description | Usage |
|---|---|---|
scripts/cac_ltv.py | Compute CAC, LTV, LTV/CAC ratio, and payback period | python scripts/cac_ltv.py --help |
Run python scripts/cac_ltv.py --verify to execute built-in sanity tests.
References
- For cohort-based LTV calculation methods, see
references/cohort-ltv.md - For channel attribution models, see
references/attribution-models.md
© asgard-ai-platform, 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 (scripts, references) in biz-cac-ltv of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_input.json
- references/attribution-models.md
- references/cohort-ltv.md
- scripts/cac_ltv.py
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Biz Cac Ltv 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Biz Cac Ltv this skillasgard-ai-platform/skills | 242 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Agent Business Canvasharperreed/dotfiles | 334 | — | ~3k | Automated safety check: Pass | None | |
| Financial Unit Economicsnicepkg/auto-company | 195 | 1 repos | ~3.4k | Automated safety check: Pass | None | |
| Startup Business Modelsnicepkg/auto-company | 195 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Qualitative ValuationJoelLewis/finance_skills | 206 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Setting PricingGTM-Strategist/gtm-strategist-skills | 264 | — | ~5.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Biz Cac Ltv
What does Biz Cac Ltv do?
Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency. Biz Cac Ltv is an agent skill from asgard-ai-platform/skills. Calculate and analyze Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) to evaluate unit economics and marketing efficiency.
When should I use Biz Cac Ltv?
Biz Cac Ltv fits situations like: the user needs to assess whether their customer acquisition is profitable; optimize marketing spend allocation; evaluate business model viability — even if they say are we spending too much on ads; whats each customer worth.
How do I install Biz Cac Ltv in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a claude-code`. Or copy the skill folder (biz-cac-ltv in asgard-ai-platform/skills) into .claude/skills/biz-cac-ltv in your project. Claude Code loads it when a task matches its description.
How do I install Biz Cac Ltv in Codex?
Run `npx skills add asgard-ai-platform/skills --skill biz-cac-ltv -a codex`. Or copy the skill folder (biz-cac-ltv in asgard-ai-platform/skills) into .agents/skills/biz-cac-ltv in your project. Codex loads it when a task matches its description.
Can I use Biz Cac Ltv 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 asgard-ai-platform/skills --skill biz-cac-ltv -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/biz-cac-ltv, .gemini/skills/biz-cac-ltv, .github/skills/biz-cac-ltv and .opencode/skills/biz-cac-ltv in your project.
What does Biz Cac Ltv need to run?
Going by SKILL.md and its folder, Biz Cac Ltv needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Biz Cac Ltv 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 Biz Cac Ltv 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 Biz Cac Ltv use?
Biz Cac Ltv 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 Biz Cac Ltv use?
About 1.9k tokens (SKILL.md is roughly 7.4k 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 5k tokens, read only when the agent opens those files.
What are the alternatives to Biz Cac Ltv?
Skills that share tags, products or a category with Biz Cac Ltv: Agent Business Canvas (harperreed/dotfiles, 334 stars), Financial Unit Economics (nicepkg/auto-company, 195 stars), Startup Business Models (nicepkg/auto-company, 195 stars) and Qualitative Valuation (JoelLewis/finance_skills, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Biz Cac Ltv?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 242 GitHub stars. The repository holds 207 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.