Car Lease Decoder
mohitagw15856/pm-claude-skillsDecode a car lease offer — the money factor converted to APR, the cap-cost math, mileage and disposition traps, and what to negotiate. Use when asked to decode my car lease, is this lease deal good, what's a money factor, or review this lease before I sign. Produces the real-numbers decode (money factor → APR, total lease cost), the trap list with dollar exposure, and the negotiation points dealers expect to concede.
At a glance
/plugin marketplace add mohitagw15856/pm-claude-skills
/plugin install car-lease-decoder
Setup, runtime and requirements describe mohitagw15856/pm-claude-skills, the repo this skill ships in.
Also in mohitagw15856/pm-claude-skills
View the repoDesign a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 fee...
Design statistically rigorous A/B tests for product features, UI changes, onboarding flows, and pricing experiments. Use when asked to set u...
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and t...
Generate a WCAG 2.2 accessibility audit checklist and remediation suggestions for any UI or design. Use when asked to audit for accessibilit...
Build a structured account plan for any key customer or target account. Use when asked to create an account plan, key account strategy, stra...
Simulate the acquirer's diligence team hunting for reasons to cut your price — their internal red-flags memo with a price-chip estimate per...
Turn a skill's recommendations into real, executed actions — open the tickets, file the issues, post the updates — safely: dry-run preview,...
Write platform-native paid ad copy with multiple angles to test. Use when asked to write ad copy, Google/Facebook/LinkedIn/Instagram ads, PP...
Optimize an article for Answer Engine Optimization (AEO) so AI engines like ChatGPT, Perplexity, and Claude can extract, quote, and cite it....
Review an LLM agent design and find where it will be unreliable, expensive, or unsafe. Use when asked to review an agent architecture, criti...
Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse. Use when agents are eroding seat c...
Run a blameless postmortem for an incident caused by an AI agent or LLM feature — hallucinated facts shipped to users, runaway tool use, pro...