Professional-grade financial calculations with detailed breakdowns, visualizations, and exportable reports. Handles everything from simple loan payments to complex retirement projections with Monte Carlo simulations.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfinancial-calculatorExecute the skills CLI command in your project's root directory to begin installation:
Fetches financial-calculator from dkyazzentwatwa/chatgpt-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate financial-calculator. Access via /financial-calculator in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Professional-grade financial calculations with detailed breakdowns, visualizations, and exportable reports. Handles everything from simple loan payments to complex retirement projections with Monte Carlo simulations.
from scripts.financial_calc import FinancialCalculator
# Loan calculation
calc = FinancialCalculator()
loan = calc.loan_payment(principal=250000, rate=6.5, years=30)
print(f"Monthly payment: ${loan['monthly_payment']:,.2f}")
# Investment growth
growth = calc.investment_growth(
principal=10000,
rate=7,
years=20,
monthly_contribution=500
)
print(f"Final value: ${growth['final_value']:,.2f}")
from scripts.financial_calc import FinancialCalculator
calc = FinancialCalculator()
# Calculate monthly payment
loan = calc.loan_payment(
principal=250000, # Loan amount
rate=6.5, # Annual interest rate (%)
years=30 # Loan term
)
print(f"Monthly Payment: ${loan['monthly_payment']:,.2f}")
print(f"Total Payments: ${loan['total_payments']:,.2f}")
print(f"Total Interest: ${loan['total_interest']:,.2f}")
# Get full amortization schedule
schedule = calc.amortization_schedule(
principal=250000,
rate=6.5,
years=30
)
# Schedule is a list of monthly payments
for payment in schedule[:12]: # First year
print(f"Month {payment['month']}: "
f"Payment ${payment['payment']:,.2f}, "
f"Principal ${payment['principal']:,.2f}, "
f"Interest ${payment['interest']:,.2f}, "
f"Balance ${payment['balance']:,.2f}")
# Export to CSV
calc.export_amortization(schedule, "loan_schedule.csv")
# Compare with extra payments
comparison = calc.prepayment_comparison(
principal=250000,
rate=6.5,
years=30,
extra_monthly=200
)
print(f"With extra payments:")
print(f" Months saved: {comparison['months_saved']}")
print(f" Interest saved: ${comparison['interest_saved']:,.2f}")
print(f" New payoff: {comparison['new_term_years']:.1f} years")
# Simple compound growth
result = calc.future_value(
principal=10000,
rate=7, # Annual return (%)
years=20
)
print(f"Future value: ${result['future_value']:,.2f}")
# With monthly contributions
result = calc.investment_growth(
principal=10000,
rate=7,
years=20,
monthly_contribution=500
)
print(f"Final value: ${result['final_value']:,.2f}")
print(f"Total contributions: ${result['total_contributions']:,.2f}")
print(f"Total growth: ${result['total_growth']:,.2f}")
# Compare different scenarios
scenarios = calc.compare_investments([
{'name': 'Conservative', 'rate': 4, 'principal': 10000, 'monthly': 500},
{'name': 'Moderate', 'rate': 7, 'principal': 10000, 'monthly': 500},
{'name': 'Aggressive', 'rate': 10, 'principal': 10000, 'monthly': 500},
], years=20)
for s in scenarios:
print(f"{s['name']}: ${s['final_value']:,.2f}")
# CalcuMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
I recommend financial-calculator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
financial-calculator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: financial-calculator is focused, and the summary matches what you get after install.
Registry listing for financial-calculator matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in financial-calculator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
financial-calculator has been reliable in day-to-day use. Documentation quality is above average for community skills.
financial-calculator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Solid pick for teams standardizing on skills: financial-calculator is focused, and the summary matches what you get after install.
Keeps context tight: financial-calculator is the kind of skill you can hand to a new teammate without a long onboarding doc.
I recommend financial-calculator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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