domain-fintech
Layer 3: Domain Constraints
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Installation Guide
How to use domain-fintech 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
domain-fintech
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches domain-fintech from actionbook/rust-skills 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 domain-fintech. Access via /domain-fintech 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
FinTech Domain
Layer 3: Domain Constraints
Domain Constraints → Design Implications
| Domain Rule | Design Constraint | Rust Implication |
|---|---|---|
| Audit trail | Immutable records | Arc, no mutation |
| Precision | No floating point | rust_decimal |
| Consistency | Transaction boundaries | Clear ownership |
| Compliance | Complete logging | Structured tracing |
| Reproducibility | Deterministic execution | No race conditions |
Critical Constraints
Financial Precision
RULE: Never use f64 for money
WHY: Floating point loses precision
RUST: Use rust_decimal::Decimal
Audit Requirements
RULE: All transactions must be immutable and traceable
WHY: Regulatory compliance, dispute resolution
RUST: Arc<T> for sharing, event sourcing pattern
Consistency
RULE: Money can't disappear or appear
WHY: Double-entry accounting principles
RUST: Transaction types with validated totals
Trace Down ↓
From constraints to design (Layer 2):
"Need immutable transaction records"
↓ m09-domain: Model as Value Objects
↓ m01-ownership: Use Arc for shared immutable data
"Need precise decimal math"
↓ m05-type-driven: Newtype for Currency/Amount
↓ rust_decimal: Use Decimal type
"Need transaction boundaries"
↓ m12-lifecycle: RAII for transaction scope
↓ m09-domain: Aggregate boundaries
Key Crates
| Purpose | Crate |
|---|---|
| Decimal math | rust_decimal |
| Date/time | chrono, time |
| UUID | uuid |
| Serialization | serde |
| Validation | validator |
Design Patterns
| Pattern | Purpose | Implementation |
|---|---|---|
| Currency newtype | Type safety | struct Amount(Decimal); |
| Transaction | Atomic operations | Event sourcing |
| Audit log | Traceability | Structured logging with trace IDs |
| Ledger | Double-entry | Debit/credit balance |
Code Pattern: Currency Type
use rust_decimal::Decimal;
#[derive(Clone, Debug, PartialEq)]
pub struct Amount {
value: Decimal,
currency: Currency,
}
impl Amount {
pub fn new(value: Decimal, currency: Currency) -> Self {
Self { value, currency }
}
pub fn add(&self, other: &Amount) -> Result<Amount, CurrencyMismatch> {
if self.currency != other.currency {
return Err(CurrencyMismatch);
}
Ok(Amount::new(self.value + other.value, self.currency))
}
}
Common Mistakes
| Mistake | Domain Violation | Fix |
|---|---|---|
| Using f64 | Precision loss | rust_decimal |
| Mutable transaction | Audit trail broken | Immutable + events |
| String for amount | No validation | Validated newtype |
| Silent overflow | Money disappears | Checked arithmetic |
Trace to Layer 1
| Constraint | Layer 2 Pattern | Layer 1 Implementation |
|---|---|---|
| Immutable records | Event sourcing | Arc, Clone |
| Transaction scope | Aggregate | Owned children |
| Precision | Value Object | rust_decimal newtype |
| Thread-safe sharing | Shared immutable | Arc (not Rc) |
Related Skills
| When | See |
|---|---|
| Value Object design | m09-domain |
| Ownership for immutable | m01-ownership |
| Arc for sharing | m02-resource |
| Error handling | m13-domain-error |
List & Monetize Your Skill
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Use Cases
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
- 1Install skill using provided installation command
- 2Test with simple use case relevant to your work
- 3Evaluate output quality and relevance
- 4Iterate on prompts to improve results
- 5Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
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Reviews
- AAma Bhatia★★★★★Dec 20, 2024
domain-fintech reduced setup friction for our internal harness; good balance of opinion and flexibility.
- MMia Chen★★★★★Dec 20, 2024
Solid pick for teams standardizing on skills: domain-fintech is focused, and the summary matches what you get after install.
- NNoah Rahman★★★★★Dec 20, 2024
domain-fintech fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAnaya Johnson★★★★★Dec 16, 2024
I recommend domain-fintech for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- CCharlotte Garcia★★★★★Nov 19, 2024
domain-fintech has been reliable in day-to-day use. Documentation quality is above average for community skills.
- KKwame Martinez★★★★★Nov 11, 2024
Registry listing for domain-fintech matched our evaluation — installs cleanly and behaves as described in the markdown.
- SSoo Jackson★★★★★Nov 11, 2024
domain-fintech is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- NNoah Diallo★★★★★Nov 11, 2024
We added domain-fintech from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- NNoah Ramirez★★★★★Nov 7, 2024
Keeps context tight: domain-fintech is the kind of skill you can hand to a new teammate without a long onboarding doc.
- NNoah Abbas★★★★★Oct 26, 2024
Registry listing for domain-fintech matched our evaluation — installs cleanly and behaves as described in the markdown.
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