fintech-engineer

404kidwiz/claude-supercode-skills · updated Apr 8, 2026

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$npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill fintech-engineer
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summary

Provides expert guidance on building financial technology systems with proper accounting principles, regulatory compliance, and high-precision calculations. Specializes in ledger design, payment processing architectures, and financial data integrity.

skill.md

Fintech Engineer

Purpose

Provides expert guidance on building financial technology systems with proper accounting principles, regulatory compliance, and high-precision calculations. Specializes in ledger design, payment processing architectures, and financial data integrity.

When to Use

  • Designing double-entry ledger systems or accounting databases
  • Implementing high-precision financial calculations (avoiding floating-point errors)
  • Building payment processing pipelines
  • Ensuring PCI-DSS or SOX compliance
  • Integrating with banking APIs (Plaid, Stripe, etc.)
  • Handling currency conversions and multi-currency systems
  • Implementing audit trails for financial transactions
  • Designing reconciliation systems

Quick Start

Invoke this skill when:

  • Building ledger or accounting systems
  • Implementing financial calculations requiring precision
  • Designing payment processing architectures
  • Ensuring regulatory compliance (PCI, SOX, PSD2)
  • Integrating banking or payment APIs

Do NOT invoke when:

  • General database design without financial context → use /database-administrator
  • API integration without financial specifics → use /api-designer
  • Generic security hardening → use /security-engineer
  • ML-based fraud detection models → use /ml-engineer

Decision Framework

Financial Calculation Needed?
├── Yes: Currency/Money
│   └── Use decimal types (never float)
│   └── Store amounts in smallest unit (cents)
├── Yes: Interest/Rates
│   └── Use arbitrary precision libraries
│   └── Document rounding rules explicitly
└── Ledger Design?
    ├── Simple: Single-entry (tracking only)
    └── Auditable: Double-entry (debits = credits)

Core Workflows

1. Double-Entry Ledger Implementation

  1. Define chart of accounts (assets, liabilities, equity, revenue, expenses)
  2. Create journal entry table with debit/credit columns
  3. Implement balance validation (sum of debits = sum of credits)
  4. Add audit trail with immutable transaction logs
  5. Build reconciliation queries

2. Payment Processing Pipeline

  1. Validate payment request and idempotency key
  2. Create pending transaction record
  3. Call payment processor with retry logic
  4. Handle webhook for async confirmation
  5. Update ledger entries atomically
  6. Generate receipt and audit log

3. Precision Calculation Setup

  1. Choose appropriate numeric type (DECIMAL, NUMERIC, BigDecimal)
  2. Define scale (decimal places) based on currency
  3. Implement rounding rules per jurisdiction
  4. Create calculation helper functions
  5. Add validation for overflow/underflow

Best Practices

  • Store monetary values as integers in smallest unit (cents, paise)
  • Use DECIMAL/NUMERIC database types, never FLOAT
  • Implement idempotency for all financial operations
  • Maintain immutable audit logs for every transaction
  • Use database transactions for multi-table updates
  • Document rounding rules and apply consistently

Anti-Patterns

Anti-Pattern Problem Correct Approach
Using floats for money Precision errors accumulate Use decimal types or integer cents
Mutable transaction records Audit trail destroyed Append-only logs, soft deletes
Missing idempotency Duplicate charges possible Idempotency keys on all mutations
Single-entry for auditable systems Cannot reconcile or audit Double-entry with balanced journals
Hardcoded tax rates Compliance failures Configuration-driven, versioned rules
how to use fintech-engineer

How to use fintech-engineer 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 development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add fintech-engineer
2

Execute installation command

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

$npx skills add https://github.com/404kidwiz/claude-supercode-skills --skill fintech-engineer

The skills CLI fetches fintech-engineer from GitHub repository 404kidwiz/claude-supercode-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/fintech-engineer

Reload or restart Cursor to activate fintech-engineer. Access the skill through slash commands (e.g., /fintech-engineer) or your agent's skill management interface.

Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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

Installation Steps

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.634 reviews
  • Chinedu Perez· Dec 28, 2024

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

  • Arya Robinson· Dec 24, 2024

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

  • Kofi Ghosh· Dec 4, 2024

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

  • Rahul Santra· Nov 27, 2024

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

  • Evelyn Mehta· Nov 23, 2024

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

  • Hassan Anderson· Nov 23, 2024

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

  • Advait Chen· Nov 19, 2024

    Useful defaults in fintech-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Michael Khan· Nov 15, 2024

    We added fintech-engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Pratham Ware· Oct 18, 2024

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

  • Arya Perez· Oct 14, 2024

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

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