finance-expert
Expert guidance for financial systems, FinTech applications, banking platforms, and payment processing.
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1
this week
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Install Skill
Run in your terminal
1
installs
1
this week
15
stars
What it does
Covers payment gateway integration (Stripe), open banking APIs (Plaid), and core banking concepts including PCI-DSS, SOX, and Basel III compliance
Includes practical code examples for payment processing, refunds, webhook handling, and bank account/transaction retrieval
Provides financial calculation utilities for compound interest, loan amortization, NPV, and ROI with proper Decima
Installation Guide
How to use finance-expert on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
finance-expert
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches finance-expert from personamanagmentlayer/pcl and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate finance-expert. Access via /finance-expert in your agent's command palette.
Security Notice
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.
Documentation
Finance Expert
Expert guidance for financial systems, FinTech applications, banking platforms, payment processing, and financial technology development.
Core Concepts
Financial Systems
- Core banking systems
- Payment processing
- Trading platforms
- Risk management
- Regulatory compliance (PCI-DSS, SOX, Basel III)
- Financial reporting
FinTech Stack
- Payment gateways (Stripe, PayPal, Square)
- Banking APIs (Plaid, Yodlee)
- Blockchain/crypto
- Open Banking APIs
- Mobile banking
- Digital wallets
Key Challenges
- Security and fraud prevention
- Real-time processing
- High availability (99.999%)
- Regulatory compliance
- Data privacy
- Transaction accuracy
Payment Processing
# Payment gateway integration (Stripe)
import stripe
from decimal import Decimal
stripe.api_key = "sk_test_..."
class PaymentService:
def create_payment_intent(self, amount: Decimal, currency: str = "usd"):
"""Create payment intent with idempotency"""
return stripe.PaymentIntent.create(
amount=int(amount * 100), # Convert to cents
currency=currency,
payment_method_types=["card"],
metadata={"order_id": "12345"}
)
def process_refund(self, payment_intent_id: str, amount: Decimal = None):
"""Process full or partial refund"""
return stripe.Refund.create(
payment_intent=payment_intent_id,
amount=int(amount * 100) if amount else None
)
def handle_webhook(self, payload: str, signature: str):
"""Handle Stripe webhook events"""
try:
event = stripe.Webhook.construct_event(
payload, signature, webhook_secret
)
if event.type == "payment_intent.succeeded":
payment_intent = event.data.object
self.handle_successful_payment(payment_intent)
elif event.type == "payment_intent.payment_failed":
payment_intent = event.data.object
self.handle_failed_payment(payment_intent)
return {"status": "success"}
except ValueError:
return {"status": "invalid_payload"}
Banking Integration
# Open Banking API integration (Plaid)
from plaid import Client
from plaid.errors import PlaidError
class BankingService:
def __init__(self):
self.client = Client(
client_id="...",
secret="...",
environment="sandbox"
)
def create_link_token(self, user_id: str):
"""Create link token for Plaid Link"""
response = self.client.LinkToken.create({
"user": {"client_user_id": user_id},
"client_name": "My App",
"products": ["auth", "transactions"],
"country_codes": ["US"],
"language": "en"
})
return response["link_token"]
def exchange_public_token(self, public_token: str):
"""Exchange public token for access token"""
response = self.client.Item.public_token.exchange(public_token)
return {
"access_token": response["access_token"],
"item_id": response["item_id"]
}
def get_accounts(self, access_token: str):
"""Get user's bank accounts"""
response = self.client.Accounts.get(access_token)
return response["accounts"]
def get_transactions(self, access_token: str, start_date: str, end_date: str):
"""Get transactions for date range"""
response = self.client.Transactions.get(
access_token,
start_date,
end_date
)
return response["transactions"]
Financial Calculations
from decimal import Decimal, ROUND_HALF_UP
from datetime import datetime, timedelta
class FinancialCalculator:
@staticmethod
def calculate_interest(principal: Decimal, rate: Decimal, periods: int) -> Decimal:
"""Calculate compound interest"""
return principal * ((1 + rate) ** periods - 1)
@staticmethod
def calculate_loan_payment(principal: Decimal, annual_rate: Decimal, months: int) -> Decimal:
"""Calculate monthly loan payment (amortization)"""
monthly_rate = annual_rate / 12
payment = principal * (monthly_rate * (1 + monthly_rate) ** months) / \
((1 + monthly_rate) ** months - 1)
return payment.quantize(Decimal('0.01'), rounding=ROUND_HALF_UP)
@staticmethod
def calculate_npv(cash_flows: list[Decimal], discount_rate: Decimal) -> Decimal:
"""Calculate Net Present Value"""
npv = Decimal('0')
for i, cf in enumerate(cash_flows):
npv += cf / ((1 + discount_rate) ** i)
return npv.List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases
User Story & Requirements Generation
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
Competitive Analysis
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
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ 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.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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Reviews
- TTariq Khanna★★★★★Dec 24, 2024
I recommend finance-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- LLi Yang★★★★★Dec 20, 2024
finance-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- KKofi Haddad★★★★★Dec 8, 2024
Keeps context tight: finance-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.
- SSakshi Patil★★★★★Nov 27, 2024
Registry listing for finance-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- DDaniel Yang★★★★★Nov 15, 2024
Solid pick for teams standardizing on skills: finance-expert is focused, and the summary matches what you get after install.
- KKofi Ndlovu★★★★★Nov 11, 2024
finance-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- TTariq Tandon★★★★★Nov 7, 2024
finance-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- AArya Perez★★★★★Oct 26, 2024
Registry listing for finance-expert matched our evaluation — installs cleanly and behaves as described in the markdown.
- CChaitanya Patil★★★★★Oct 18, 2024
finance-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.
- DDaniel Menon★★★★★Oct 6, 2024
finance-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.
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