Agent skill

car-tco

Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly payment. Use when asked should I lease or buy a car, is it cheaper to keep my old car, what does this car really cost per month, or new vs used total cost. Produces the ranked scenario totals, per-month true cost, the assumption ledger, and the not-modeled list.

mohitagw15856github.com/mohitagw15856GitHub ↗
claude-codecursorships scriptsMIT
Install
npx skills add mohitagw15856/pm-claude-skills --skill car-tco --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 4 KB
Bundled scripts: yes
Path: skills/car-tco/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,255
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Car TCO Skill Cars are sold on monthly payments and owned on total cost — and the two rank options differently. Depreciation (the biggest cost of a new car) never appears on a statement; maintenance (the biggest fear about an old car) is usually smaller than a year of new-car depreciation. This skill compares buy-new, buy-used, lease-forever, and keep-current on the same total-cost basis over the same horizon. ## What This Skill Produces - **Ranked scenario totals** — every requested scenario over the same horizon, cheapest first - **True per-month cost** — total ÷ months, the number to compare against the payment the dealer quotes - **The assumption ledger** — depreciation curve, maintenance ramp, insurance deltas, all labeled - **The not-modeled list** — financing interest, jurisdiction taxes, reliability luck ## Required Inputs Ask for these if not provided: - **Which scenarios to compare** — any of: new price, used-equivalent price, lease terms, current car's value + annual maintenance - **Horizon** — years they realistically keep cars (default 8, labeled); short horizons flatter leasing, long ones flatter buying - **Miles per year** and rough fuel/energy cost (defaults 12,00

What's inside
Steps it walks through
  1. What This Skill Produces
  2. Required Inputs
  3. Programmatic Helper
  4. Framework: The Payment Illusion Rules
  5. Output Format
  6. The Ranking
  7. Reading the Ranking
  8. What This Model Ignores
  9. Quality Checks
  10. Anti-Patterns
Ships with 2 files
  • references/worked-example.md
  • scripts/car_tco.py
Commands it runs
python3 scripts/car_tco.py --new-price 38000 --used-price 24000 --lease-month 420 --keep-value 9000
python3 scripts/car_tco.py --new-price 38000 --keep-value 9000 --keep-maint 1800 --horizon 6 --json
More from pm-claude-skills
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About this skill
What does the car-tco skill do?

Compare the total cost of car ownership across buy-new, buy-used, lease, and keep-your-current-car — depreciation, insurance, maintenance ramp, and fuel over a real horizon, not just the monthly payment. Use when asked should I lease or buy a car, is it cheaper to keep my old car, what does this car really cost per month, or new vs used total cost. Produces the ranked scenario totals, per-month true cost, the assumption ledger, and the not-modeled list.

How do I install it?

Run `npx skills add mohitagw15856/pm-claude-skills --skill car-tco --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going