Provide frameworks for managing and paying off personal debt effectively. Use when the user asks about debt payoff strategies (avalanche vs snowball), refinancing decisions, debt consolidation, debt-to-income ratios, or the opportunity cost of paying off debt vs investing. Also trigger when users mention 'which debt to pay first', 'should I refinance', 'credit card debt', 'student loan payoff', 'DTI for mortgage', 'balance transfer', 'good debt vs bad debt', or ask how to get out of debt faster.
npx skills add https://github.com/JoelLewis/finance_skills --skill debt-management
Pay minimum payments on all debts, then direct all extra payment to the debt with the highest interest rate first:
Pay minimum payments on all debts, then direct all extra payment to the debt with the smallest balance first:
Total monthly debt payments expressed as a percentage of gross monthly income:
Compare the total cost of the existing loan vs the new loan, accounting for closing costs:
Combine multiple debts into a single loan, ideally at a lower interest rate:
When debt carries a low interest rate, paying it off aggressively may not be optimal:
Amortization calculation with extra payments:
| Formula | Expression | Use Case |
|---------|-----------|----------|
| Front-end DTI | Housing payments / gross monthly income | Mortgage qualification |
| Back-end DTI | All debt payments / gross monthly income | Overall debt health |
| Refinance breakeven | Closing costs / monthly savings | Months to recoup refi costs |
| Months to payoff | n = -ln(1 - Pr/PMT) / ln(1+r) | Debt payoff timeline |
| Total interest paid | (n × PMT) - Principal | Cost of borrowing |
| Effective rate (after tax) | r × (1 - marginal_tax_rate) | Tax-deductible debt comparison |
Given: Three debts with $500/month available for extra payments (above minimums):
Calculate: Order of payoff, total months, and total interest for each strategy (month-by-month simulation; see scripts/debt_management.py).
Solution — Avalanche (highest rate first: 22% → 15% → 6%):
Solution — Snowball (smallest balance first: $3K → $5K → $12K):
Comparison: Avalanche saves ~$158 in interest; both finish in 26 months. The difference is modest because the highest-rate debt is not the largest. Snowball gives a quicker first win (month 6 vs month 10 to first payoff) — for many people that motivational difference is worth $158.
Given: Current mortgage: $300K remaining, 6.5%, 25 years left, payment $2,028/mo. New offer: 5.5%, 25 years, closing costs $6,000, payment $1,838/mo.
Calculate: Breakeven period and total interest savings.
Solution:
uv run scripts/debt_management.py # run the demo (uses PEP 723 inline deps)
uv run scripts/debt_management.py --verify # check demo outputs against the worked examples (exit 1 on mismatch)
python3 scripts/debt_management.py # alternative (requires: pip install numpy)
The demo prints the calculations covered above; its values match the worked examples in this skill. Run --help for a list of the classes and functions. For programmatic use, import the module rather than running it — the demo only executes under python debt_management.py.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Take joellewis/debt-management from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.