finance-expert

Expert guidance for financial systems, FinTech applications, banking platforms, and payment processing.

personamanagmentlayer/pclUpdated May 12, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

1

total installs

1

this week

15

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/personamanagmentlayer/pcl --skill finance-expert

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

Category

Productivity

Last updated

May 12, 2026

Installation Guide

How to use finance-expert on Cursor

AI-first code editor with Composer

1

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
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/personamanagmentlayer/pcl --skill finance-expert

Fetches finance-expert from personamanagmentlayer/pcl and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/finance-expert

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.

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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

  1. 1Install product management skill
  2. 2Start with user story generation for known feature
  3. 3Progress to competitive analysis: research 2-3 competitors
  4. 4Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5Draft stakeholder communications and refine based on feedback
  6. 6Build template library for recurring PM tasks
  7. 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

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Related Skills

Reviews

4.642 reviews
  • T
    Tariq KhannaDec 24, 2024

    I recommend finance-expert for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • L
    Li YangDec 20, 2024

    finance-expert fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • K
    Kofi HaddadDec 8, 2024

    Keeps context tight: finance-expert is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • S
    Sakshi PatilNov 27, 2024

    Registry listing for finance-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • D
    Daniel YangNov 15, 2024

    Solid pick for teams standardizing on skills: finance-expert is focused, and the summary matches what you get after install.

  • K
    Kofi NdlovuNov 11, 2024

    finance-expert is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • T
    Tariq TandonNov 7, 2024

    finance-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • A
    Arya PerezOct 26, 2024

    Registry listing for finance-expert matched our evaluation — installs cleanly and behaves as described in the markdown.

  • C
    Chaitanya PatilOct 18, 2024

    finance-expert reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • D
    Daniel MenonOct 6, 2024

    finance-expert has been reliable in day-to-day use. Documentation quality is above average for community skills.

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1 / 5

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