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.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfintech-engineerExecute the skills CLI command in your project's root directory to begin installation:
Fetches fintech-engineer from 404kidwiz/claude-supercode-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 fintech-engineer. Access via /fintech-engineer 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.
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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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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.
Invoke this skill when:
Do NOT invoke when:
/database-administrator/api-designer/security-engineer/ml-engineerFinancial 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)
| 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 |
Make 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
Registry listing for fintech-engineer matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: fintech-engineer is focused, and the summary matches what you get after install.
I recommend fintech-engineer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
fintech-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
fintech-engineer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
fintech-engineer reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in fintech-engineer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added fintech-engineer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: fintech-engineer is the kind of skill you can hand to a new teammate without a long onboarding doc.
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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